diff --git a/.agents/skills/add-model-09-pipeline/templates/pipeline_parity_test.py b/.agents/skills/add-model-09-pipeline/templates/pipeline_parity_test.py
index 34c260923..100fbe861 100644
--- a/.agents/skills/add-model-09-pipeline/templates/pipeline_parity_test.py
+++ b/.agents/skills/add-model-09-pipeline/templates/pipeline_parity_test.py
@@ -80,11 +80,17 @@ def _run_fastvideo_pipeline(model_path: Path, params: dict[str, Any]) -> Any:
 
     generator = VideoGenerator.from_pretrained(
         str(model_path),
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": False,
+                },
+            },
+        },
     )
     try:
         return generator.generate({
diff --git a/README.md b/README.md
index a580fa7d1..f9590bc87 100644
--- a/README.md
+++ b/README.md
@@ -135,7 +135,7 @@ def main():
     # Create a video generator with a pre-trained model
     generator = VideoGenerator.from_pretrained(
         "FastVideo/FastWan2.1-T2V-1.3B-Diffusers",
-        num_gpus=1,  # Adjust based on your hardware
+        {"engine": {"num_gpus": 1}},  # Adjust based on your hardware
     )
 
     # Define a prompt for your video
diff --git a/apps/dreamverse/dreamverse/ltx2_generation.py b/apps/dreamverse/dreamverse/ltx2_generation.py
index ea70a11f5..91a7bd942 100644
--- a/apps/dreamverse/dreamverse/ltx2_generation.py
+++ b/apps/dreamverse/dreamverse/ltx2_generation.py
@@ -310,7 +310,7 @@ class LTX2GenerationBackend:
             ),
         )
 
-        self.generator = VideoGenerator.from_pretrained(config=generator_config)
+        self.generator = VideoGenerator.from_config(generator_config)
         print(f"[GPU {self.gpu_id}] After model load: {self._gpu_mem()}")
 
         lora_stack = DREAMVERSE_LORA_STACK or ([(DREAMVERSE_LORA_PATH,
diff --git a/docs/contributing/coding_agents.md b/docs/contributing/coding_agents.md
index 450f52d4b..257e3ca86 100644
--- a/docs/contributing/coding_agents.md
+++ b/docs/contributing/coding_agents.md
@@ -59,7 +59,7 @@ Minimal usage example (based on `examples/inference/basic/basic.py`):
 from fastvideo import VideoGenerator
 
 model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"  # or official_weights/<model_name>/
-generator = VideoGenerator.from_pretrained(model_id, num_gpus=1)
+generator = VideoGenerator.from_pretrained(model_id, {"engine": {"num_gpus": 1}})
 
 video = generator.generate({
     "prompt": "A vibrant city street at sunset.",
diff --git a/docs/design/inference_schema_parity_inventory.yaml b/docs/design/inference_schema_parity_inventory.yaml
index 2427f17cf..7c3391552 100644
--- a/docs/design/inference_schema_parity_inventory.yaml
+++ b/docs/design/inference_schema_parity_inventory.yaml
@@ -2,7 +2,6 @@ status_definitions:
   kept: "Public field remains on a public adapter surface with the same meaning."
   moved: "Public field remains supported but normalizes into a different nested path."
   preset_owned: "Public field remains supported only through a model/preset-specific surface."
-  from_pretrained_keyword: "Typed config field that an argument of VideoGenerator.from_pretrained also sets; the entry value names that argument."
   compatibility_only: "Public field that an adapter or an open mapping accepts outside the typed fields of the canonical schema."
   private_only: "Field should only be handled by private adapters and is not a public FastVideo compatibility promise."
   internal_only: "Field is runtime/config plumbing that model code, config resolution, or the runtime fills; it is not a public input."
@@ -10,37 +9,37 @@ status_definitions:
 
 surfaces:
   generator_config:
-    from_pretrained_keyword:
-      model_path: "model_path (positional argument)"
-      revision: revision
-      trust_remote_code: trust_remote_code
-      engine.num_gpus: num_gpus
-      engine.execution_backend: distributed_executor_backend
-      engine.parallelism.tp_size: tp_size
-      engine.parallelism.sp_size: sp_size
-      engine.parallelism.hsdp_replicate_dim: hsdp_replicate_dim
-      engine.parallelism.hsdp_shard_dim: hsdp_shard_dim
-      engine.parallelism.dist_timeout: dist_timeout
-      engine.offload.dit: dit_cpu_offload
-      engine.offload.dit_layerwise: dit_layerwise_offload
-      engine.offload.text_encoder: text_encoder_cpu_offload
-      engine.offload.image_encoder: image_encoder_cpu_offload
-      engine.offload.vae: vae_cpu_offload
-      engine.offload.pin_cpu_memory: pin_cpu_memory
-      engine.compile.enabled: enable_torch_compile
-      engine.compile.backend: "torch_compile_kwargs['backend']"
-      engine.compile.fullgraph: "torch_compile_kwargs['fullgraph']"
-      engine.compile.mode: "torch_compile_kwargs['mode']"
-      engine.compile.dynamic: "torch_compile_kwargs['dynamic']"
-      engine.compile.extras: "torch_compile_kwargs keys other than backend, fullgraph, mode, and dynamic"
-      engine.enable_stage_verification: enable_stage_verification
-      engine.use_fsdp_inference: use_fsdp_inference
-      engine.disable_autocast: disable_autocast
-      pipeline.components.lora_path: lora_path
-      pipeline.components.lora_strength: lora_strength
-      pipeline.output_type: output_type
     kept:
+      - model_path
       - mode
+      - revision
+      - trust_remote_code
+      - engine.num_gpus
+      - engine.execution_backend
+      - engine.parallelism.tp_size
+      - engine.parallelism.sp_size
+      - engine.parallelism.hsdp_replicate_dim
+      - engine.parallelism.hsdp_shard_dim
+      - engine.parallelism.dist_timeout
+      - engine.offload.dit
+      - engine.offload.dit_layerwise
+      - engine.offload.text_encoder
+      - engine.offload.image_encoder
+      - engine.offload.vae
+      - engine.offload.pin_cpu_memory
+      - engine.compile.enabled
+      - engine.compile.backend
+      - engine.compile.fullgraph
+      - engine.compile.mode
+      - engine.compile.dynamic
+      - engine.compile.extras
+      - engine.enable_stage_verification
+      - engine.use_fsdp_inference
+      - engine.disable_autocast
+      - engine.attention.nvfp4_fa4
+      - pipeline.components.lora_path
+      - pipeline.components.lora_strength
+      - pipeline.output_type
       - engine.parallelism.master_port
       - engine.offload.lazy_module_load
       - engine.compile.text_encoder_enabled
diff --git a/docs/design/overview.md b/docs/design/overview.md
index 8a88475f8..a1d2b5af2 100644
--- a/docs/design/overview.md
+++ b/docs/design/overview.md
@@ -30,7 +30,7 @@ Minimal usage (from `examples/inference/basic/basic.py`):
 from fastvideo import VideoGenerator
 
 model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"  # or official_weights/<model_name>/
-generator = VideoGenerator.from_pretrained(model_id, num_gpus=1)
+generator = VideoGenerator.from_pretrained(model_id, {"engine": {"num_gpus": 1}})
 
 video = generator.generate({
     "prompt": "A vibrant city street at sunset.",
diff --git a/docs/design/server_contracts/dynamo.md b/docs/design/server_contracts/dynamo.md
index c163cab2e..5600b0fd4 100644
--- a/docs/design/server_contracts/dynamo.md
+++ b/docs/design/server_contracts/dynamo.md
@@ -32,7 +32,7 @@ from fastvideo.api import (
 
 | Surface | Availability | Notes |
 | --- | --- | --- |
-| `VideoGenerator.from_pretrained(model_path, **typed_kwargs)` | Today | `typed_kwargs` is a stable subset from `GeneratorConfig` — no flat legacy LTX-2 kwargs (guaranteed after PR 6) |
+| `VideoGenerator.from_pretrained(model_path, config)` | Today | `config` is a nested `GeneratorConfig` mapping without `model_path`; no flat keywords |
 | `VideoGenerator.generate(request: GenerationRequest) -> GenerationResult` | Today | Aggregated; Dynamo wraps in `asyncio.to_thread` under `asyncio.Lock` |
 | `VideoGenerator.generate_async(request) -> AsyncGenerator[VideoEvent, None]` | **PR 7.10** | Canonical execution substrate; sync wrapper reroutes through this |
 | `VideoGenerator.default_health_check_request() -> GenerationRequest` | **PR 7.10** | 256x256 / 8 frames / 1 step; lets Dynamo build its health payload without knowing any FastVideo internals |
@@ -225,7 +225,7 @@ async def init_video_generation(runtime, config, shutdown_endpoints):
     from fastvideo.api import config_to_dict
 
     server_args, dynamo_args = config.server_args, config.dynamo_args
-    generator = VideoGenerator.from_pretrained(**config.fastvideo_kwargs())
+    generator = VideoGenerator.from_config(build_generator_config(server_args))
 
     dump_config(dynamo_args.dump_config_to, config)
 
@@ -309,11 +309,11 @@ re-chase FastVideo drift:
 2. `ContinuationState.payload` is JSON-serializable or references
    opaque blob ids. Dynamo can round-trip it through RPC without
    special-casing torch tensors.
-3. `VideoGenerator.from_pretrained` accepts a typed `GeneratorConfig`.
-   Its only flat keywords are the convenience keywords in
-   `fastvideo.api.compat.FROM_PRETRAINED_KWARGS`; any other keyword
-   raises `TypeError` that points to `VideoGenerator.from_config(...)`,
-   which takes every setting at its typed config path.
+3. `VideoGenerator.from_pretrained(model_path, config)` takes a typed
+   `GeneratorConfig` or its nested mapping; any flat keyword raises
+   `TypeError` that points to the nested config.
+   `VideoGenerator.from_config(...)` takes the same settings with
+   `model_path` inside.
 4. `generate_async` (PR 7.10+) emits events in order
    `Progress* → Partial* → Final`; the final event always has exactly
    one occurrence per request.
diff --git a/docs/getting_started/installation/spark_pair.md b/docs/getting_started/installation/spark_pair.md
index 1d63aa1f1..d4d8b1c7a 100644
--- a/docs/getting_started/installation/spark_pair.md
+++ b/docs/getting_started/installation/spark_pair.md
@@ -17,7 +17,7 @@ xDiT vendor. Do not install xDiT for this path.
 
 | Goal | How | Use two Sparks? |
 |---|---|---|
-| Two independent videos at once | One process per box, `num_gpus=1` | Throughput only. Each clip still takes the 1-GPU time for that size. |
+| Two independent videos at once | One process per box, `engine.num_gpus: 1` | Throughput only. Each clip still takes the 1-GPU time for that size. |
 | One clip, faster | Ray + `sp_size=2` + parallel VAE | **Yes.** One 768×1344×124 recipe was 292 s vs 374 s on one GB10. |
 | One clip, longer | Same, more frames | **Yes.** 345 frames (~14.4 s at 24 fps) finished in 587 s at 768×1344. |
 
@@ -35,7 +35,7 @@ over ~21 GB/s RoCE.
   QSFP; do not download 100+ GB twice over Wi-Fi.
 - Ray in the FastVideo venv (`uv pip install ray` if it is not already there).
 
-Each Spark has **one** GPU. `num_gpus=2` therefore means two nodes, which is
+Each Spark has **one** GPU. `engine.num_gpus: 2` therefore means two nodes, which is
 why the executor must be Ray (`mp` only works inside one process tree).
 
 ## 1. Put IPv4 on the QSFP NICs
@@ -198,7 +198,7 @@ sm_100a VSA kernel is not on this chip, so denoise is slower than a GB200
 | Gloo `connectFullMesh` / `remote=[127.0.0.1]` | Two 1-GPU nodes must not use loopback as the Gloo store. Source `spark_pair_env.sh` so `GLOO_SOCKET_IFNAME` is the QSFP NIC on **each** box. FastVideo no longer copies that NIC name from the driver onto workers. |
 | Second `generate()` crashes `NoneType.parameters` | Sequential load used to drop the text encoder without reloading it. This branch reloads Qwen for later requests so `--warmup --repeats N` works. |
 | OOM / `earlyoom` prefers Python | Lazy module load must stay on (do not pass `--no-lazy-module-load` to `basic_fasth3.py` or set `engine.offload.lazy_module_load: false`). Peak GPU during 345-frame denoise is ~90 GiB/node. |
-| `num_gpus=2` on one Spark | Each Spark has one GPU. Use Ray across two nodes, or `num_gpus=1` on one box. |
+| `engine.num_gpus: 2` on one Spark | Each Spark has one GPU. Use Ray across two nodes, or `engine.num_gpus: 1` on one box. |
 
 ## What we are not claiming
 
diff --git a/docs/inference/architecture.md b/docs/inference/architecture.md
index e22913cda..84783952e 100644
--- a/docs/inference/architecture.md
+++ b/docs/inference/architecture.md
@@ -376,8 +376,8 @@ modules are skipped.
 
 ```python
 generator = VideoGenerator.from_pretrained(
-    model_path="Wan-AI/Wan2.1-T2V-14B-Diffusers",
-    num_gpus=1, tp_size=1, sp_size=1,
+    "Wan-AI/Wan2.1-T2V-14B-Diffusers",
+    {"engine": {"num_gpus": 1, "parallelism": {"tp_size": 1, "sp_size": 1}}},
 )
 result = generator.generate({
     "prompt": "A cat dancing",
@@ -414,7 +414,7 @@ registry, applies a JSON config if provided, and freezes it.
 ## End-to-End Inference Flow
 
 ```
-User: VideoGenerator.from_pretrained(model_path, **kwargs)
+User: VideoGenerator.from_pretrained(model_path, config)
   │
   ├─ resolve_inference_config() → PipelineConfig resolved via registry
   ├─ get_model_info() → ModelInfo(pipeline_cls, sampling_param_cls, ...)
diff --git a/docs/inference/configuration.md b/docs/inference/configuration.md
index 767bb7d99..1f4b2b6a6 100644
--- a/docs/inference/configuration.md
+++ b/docs/inference/configuration.md
@@ -8,7 +8,7 @@ FastVideo automatically distributes the generation process when multiple GPUs ar
 # Will use 4 GPUs in parallel for faster generation
 generator = VideoGenerator.from_pretrained(
     "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-    num_gpus=4,
+    {"engine": {"num_gpus": 4}},
 )
 ```
 
@@ -30,10 +30,10 @@ bring-up: [Pair two NVIDIA DGX Sparks](../getting_started/installation/spark_pai
 
 ## Customizing Generation
 
-`VideoGenerator.from_pretrained` accepts only common engine and offload
-keywords, such as `num_gpus` and `dit_cpu_offload`. The full list is
-`fastvideo.api.compat.FROM_PRETRAINED_KWARGS`. Pass every other startup
-setting to `VideoGenerator.from_config` at its config path, and pass
+`VideoGenerator.from_pretrained(model_path, config)` takes the startup
+settings as a nested mapping at their typed config paths, such as
+`{"engine": {"num_gpus": 2, "offload": {"dit": False}}}`; it is
+`VideoGenerator.from_config` with `model_path` added to the mapping. Pass
 generation settings to `VideoGenerator.generate` as a request:
 
 ```python
@@ -137,8 +137,8 @@ result.resolved_request.provenance("sampling.num_frames")
 # PathProvenance(..., value=81, source='fill_sampling_defaults[preset wan_t2v_1_3b]', explicit=False)
 ```
 
-`resolved_config.provenance_table()` lists every path. After startup, `resolved_config` is read-only; a later
-change is a recorded override (`resolved_config.with_override(source, values)`) that returns a new object.
+`resolved_config.provenance_table()` lists every path. Every value is decided before resolution ends, including the
+device offload policy and the checkpoint defaults; after that, `resolved_config` is read-only.
 
 ## Performance Optimization
 
diff --git a/docs/inference/inference_quick_start.md b/docs/inference/inference_quick_start.md
index 3224408f9..8e9ab03d2 100644
--- a/docs/inference/inference_quick_start.md
+++ b/docs/inference/inference_quick_start.md
@@ -38,7 +38,7 @@ def main():
     # Create a video generator with a pre-trained model
     generator = VideoGenerator.from_pretrained(
         "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-        num_gpus=1,  # Adjust based on your hardware
+        {"engine": {"num_gpus": 1}},  # Adjust based on your hardware
     )
 
     # Define a prompt for your video
@@ -82,7 +82,7 @@ from fastvideo import VideoGenerator
 def main():
     # Create the generator
     model_name = "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers"
-    generator = VideoGenerator.from_pretrained(model_name, num_gpus=1)
+    generator = VideoGenerator.from_pretrained(model_name, {"engine": {"num_gpus": 1}})
 
     # Generate video based on the image
     prompt = "A photograph coming to life with gentle movement"
@@ -109,12 +109,12 @@ Common issues and their solutions:
 If you encounter CUDA out of memory errors:
 
 - Reduce `num_frames` or video resolution
-- Enable FastVideo offloading options such as `dit_layerwise_offload=True`
-  (single GPU) or `use_fsdp_inference=True` (multi-GPU)
+- Enable FastVideo offloading options such as `engine.offload.dit_layerwise: true`
+  (single GPU) or `engine.use_fsdp_inference: true` (multi-GPU)
 - Try a smaller model or use distilled versions
-- Use `num_gpus` > 1 if multiple GPUs are available
-- Try enabling FSDP inference with `use_fsdp_inference=True` (may slow down generation)
-- Try enabling DiT layerwise offload with `dit_layerwise_offload=True` (now only a few models support this, but may introduce less overhead than FSDP)
+- Use `engine.num_gpus` > 1 if multiple GPUs are available
+- Try enabling FSDP inference with `engine.use_fsdp_inference: true` (may slow down generation)
+- Try enabling DiT layerwise offload with `engine.offload.dit_layerwise: true` (now only a few models support this, but may introduce less overhead than FSDP)
 
 ### Slow Generation
 
diff --git a/docs/inference/offloading.md b/docs/inference/offloading.md
index af4035f5d..f57785fab 100644
--- a/docs/inference/offloading.md
+++ b/docs/inference/offloading.md
@@ -208,15 +208,21 @@ from fastvideo import VideoGenerator
 
 generator = VideoGenerator.from_pretrained(
     "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-    num_gpus=1,
-    # Recommended for single GPU
-    dit_layerwise_offload=True,
-    # Enable if OOM happens
-    vae_cpu_offload=True,
-    image_encoder_cpu_offload=True,
-    text_encoder_cpu_offload=True,
-    # Speeds up CPU-GPU transfer
-    pin_cpu_memory=True,
+    {
+        "engine": {
+            "num_gpus": 1,
+            "offload": {
+                # Recommended for single GPU
+                "dit_layerwise": True,
+                # Enable if OOM happens
+                "vae": True,
+                "image_encoder": True,
+                "text_encoder": True,
+                # Speeds up CPU-GPU transfer
+                "pin_cpu_memory": True,
+            },
+        },
+    },
 )
 
 prompt = "A curious raccoon peers through a vibrant field of yellow sunflowers."
@@ -230,16 +236,22 @@ from fastvideo import VideoGenerator
 
 generator = VideoGenerator.from_pretrained(
     "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-    num_gpus=2,
-    # Recommended for multi-GPU
-    use_fsdp_inference=True,
-    dit_layerwise_offload=False,
-    dit_cpu_offload=False,
-    # Enable if OOM happens
-    vae_cpu_offload=True,
-    image_encoder_cpu_offload=True,
-    text_encoder_cpu_offload=True,
-    pin_cpu_memory=True,
+    {
+        "engine": {
+            "num_gpus": 2,
+            # Recommended for multi-GPU
+            "use_fsdp_inference": True,
+            "offload": {
+                "dit_layerwise": False,
+                "dit": False,
+                # Enable if OOM happens
+                "vae": True,
+                "image_encoder": True,
+                "text_encoder": True,
+                "pin_cpu_memory": True,
+            },
+        },
+    },
 )
 
 prompt = "A majestic lion strides across the golden savanna."
diff --git a/docs/inference/optimizations.md b/docs/inference/optimizations.md
index 0ae7309e0..91a1da8e4 100644
--- a/docs/inference/optimizations.md
+++ b/docs/inference/optimizations.md
@@ -166,22 +166,26 @@ Enable FP4 attention via the `--nvfp4_fa4` flag:
 python examples/inference/optimizations/fp4_attn_wan2_1_1_3b.py --nvfp4_fa4
 ```
 
-Or in Python via the `nvfp4_fa4` kwarg (sets env vars automatically):
+Or in Python via the `engine.attention.nvfp4_fa4` field (resolution sets the env vars):
 
 ```python
 from fastvideo import VideoGenerator
 gen = VideoGenerator.from_pretrained(
     "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-    nvfp4_fa4=True,
-    num_gpus=1,
-    use_fsdp_inference=False,  # FSDP is incompatible with FP4 pointer path
+    {
+        "engine": {
+            "attention": {"nvfp4_fa4": True},
+            "num_gpus": 1,
+            "use_fsdp_inference": False,  # FSDP is incompatible with FP4 pointer path
+        },
+    },
 )
 gen.generate(request={"prompt": "A raccoon in sunflowers", "output": {"save_video": True}})
 ```
 
 #### Known Limitations
 
-- `use_fsdp_inference=True` is incompatible with the FP4 path (FSDP shards invalidate tensor pointers)
+- `engine.use_fsdp_inference: true` is incompatible with the FP4 path (FSDP shards invalidate tensor pointers)
 - Per-call cosine similarity vs BF16: ~0.99 (slight quantization error accumulates over denoising steps)
 - Only supports `headdim >= 128`
 
@@ -354,7 +358,7 @@ end-to-end speedup. It is **off by default** and enabled per-run.
 ```python
 generator = VideoGenerator.from_pretrained(
     "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-    enable_torch_compile=True,
+    {"engine": {"compile": {"enabled": True}}},
 )
 ```
 
@@ -405,7 +409,7 @@ compile wins for the DiT.
 ### What to expect from generic compile
 
 The Wan result below measures the existing generic
-`enable_torch_compile=True` path. It is useful evidence that compile can help,
+`engine.compile.enabled: true` path. It is useful evidence that compile can help,
 but it is **not** a benchmark or numerical gate for the stricter regional
 fullgraph path above.
 
@@ -448,12 +452,12 @@ not asserted by any standing SSIM regression here — the SSIM tests in
 run with `enable_torch_compile` disabled. If you depend on compile
 output staying close to eager (or your previous compiled run), run an
 MS-SSIM gate on *your* config, especially when combining
-`enable_torch_compile=True` with other numerics-affecting flags
+`engine.compile.enabled: true` with other numerics-affecting flags
 (quantized attention backends, FP4, layerwise offload edge cases).
 
 ### Known interactions
 
-- **Layerwise CPU offload** (`dit_layerwise_offload=True`, the default):
+- **Layerwise CPU offload** (`engine.offload.dit_layerwise: true`, the default):
   the offload hook previously caused an implicit graph break once per
   transformer layer, fragmenting the compiled region. Addressed in
   hao-ai-lab/FastVideo#1365 — keep that fix to get a clean compiled
@@ -468,19 +472,17 @@ MS-SSIM gate on *your* config, especially when combining
   grad-enabled path remain outside it. Use the default inductor mode shown
   above unless your exact configuration has its own gate.
 
-Extra `torch.compile` options are passed through `torch_compile_kwargs`
-(a dict), accepted by `VideoGenerator.from_pretrained(...)`. In a config
-file or a CLI dotted override, set them at `engine.compile.backend`,
-`fullgraph`, `mode`, and `dynamic`, and put any other `torch.compile`
-kwargs in `engine.compile.extras` (for example
+Extra `torch.compile` options live at `engine.compile.backend`,
+`fullgraph`, `mode`, and `dynamic`; any other `torch.compile` kwargs go in
+`engine.compile.extras`. Set them in the nested config, in a config file,
+or as a CLI dotted override (for example
 `--generator.engine.compile.mode reduce-overhead`). Example (currently
 **not** recommended — see the CUDA-graphs caveat above):
 
 ```python
 VideoGenerator.from_pretrained(
     "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-    enable_torch_compile=True,
-    torch_compile_kwargs={"mode": "reduce-overhead"},  # may error today
+    {"engine": {"compile": {"enabled": True, "mode": "reduce-overhead"}}},  # may error today
 )
 ```
 
@@ -493,7 +495,7 @@ config; **discard the first generation** (graph build):
 import time
 from fastvideo import VideoGenerator
 
-gen = VideoGenerator.from_pretrained("your-model-id", enable_torch_compile=True)
+gen = VideoGenerator.from_pretrained("your-model-id", {"engine": {"compile": {"enabled": True}}})
 req = {"prompt": "Your prompt", "sampling": {"seed": 1024},
        "output": {"save_video": False}}
 gen.generate(req)                                            # warmup: graph build, discard
diff --git a/examples/inference/basic/README.md b/examples/inference/basic/README.md
index 2544fe48f..16f926d2b 100644
--- a/examples/inference/basic/README.md
+++ b/examples/inference/basic/README.md
@@ -177,7 +177,7 @@ from fastvideo import VideoGenerator
 def main():
     generator = VideoGenerator.from_pretrained(
         "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-        num_gpus=1,
+        {"engine": {"num_gpus": 1}},
     )
 
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
diff --git a/examples/inference/basic/basic.py b/examples/inference/basic/basic.py
index 428c38f17..2cae41493 100644
--- a/examples/inference/basic/basic.py
+++ b/examples/inference/basic/basic.py
@@ -11,13 +11,19 @@ def main():
     generator = VideoGenerator.from_pretrained(
         "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     # Generate videos with the same simple API, regardless of GPU count
diff --git a/examples/inference/basic/basic_cosmos2_5_i2w.py b/examples/inference/basic/basic_cosmos2_5_i2w.py
index 366f2b862..7b7768a06 100644
--- a/examples/inference/basic/basic_cosmos2_5_i2w.py
+++ b/examples/inference/basic/basic_cosmos2_5_i2w.py
@@ -8,12 +8,18 @@ def main():
 
     generator = VideoGenerator.from_pretrained(
         model_path,
-        num_gpus=1,
-        use_fsdp_inference=False,  # set True if GPU is out of memory
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set True if GPU is out of memory
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     # image2world example from official repo
diff --git a/examples/inference/basic/basic_cosmos2_5_t2w.py b/examples/inference/basic/basic_cosmos2_5_t2w.py
index 84e9b178f..aa522d42e 100644
--- a/examples/inference/basic/basic_cosmos2_5_t2w.py
+++ b/examples/inference/basic/basic_cosmos2_5_t2w.py
@@ -7,12 +7,18 @@ def main():
 
     generator = VideoGenerator.from_pretrained(
         model_path,
-        num_gpus=1,
-        use_fsdp_inference=False,  # set True if GPU is out of memory
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set True if GPU is out of memory
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     prompt = (
diff --git a/examples/inference/basic/basic_cosmos2_5_v2w.py b/examples/inference/basic/basic_cosmos2_5_v2w.py
index 45a689c3e..1cc21cd01 100644
--- a/examples/inference/basic/basic_cosmos2_5_v2w.py
+++ b/examples/inference/basic/basic_cosmos2_5_v2w.py
@@ -8,12 +8,18 @@ def main():
 
     generator = VideoGenerator.from_pretrained(
         model_path,
-        num_gpus=1,
-        use_fsdp_inference=False,  # set True if GPU is out of memory
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set True if GPU is out of memory
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     # video2world example from official repo
diff --git a/examples/inference/basic/basic_gamecraft.py b/examples/inference/basic/basic_gamecraft.py
index 2782827ea..4a442df1a 100644
--- a/examples/inference/basic/basic_gamecraft.py
+++ b/examples/inference/basic/basic_gamecraft.py
@@ -56,12 +56,18 @@ def main():
     # FastVideo will automatically download weights from HuggingFace
     generator = VideoGenerator.from_pretrained(
         MODEL_PATH,
-        num_gpus=1,
-        use_fsdp_inference=True,
-        dit_cpu_offload=True,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": True,
+                "offload": {
+                    "dit": True,
+                    "vae": True,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     # Video parameters
diff --git a/examples/inference/basic/basic_gen3c.py b/examples/inference/basic/basic_gen3c.py
index 05b1ea57b..ee444565d 100644
--- a/examples/inference/basic/basic_gen3c.py
+++ b/examples/inference/basic/basic_gen3c.py
@@ -60,12 +60,18 @@ def main():
 
     generator = VideoGenerator.from_pretrained(
         args.model_path,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": True,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     video = generator.generate({
diff --git a/examples/inference/basic/basic_hy15.py b/examples/inference/basic/basic_hy15.py
index eda138126..54ee55eb4 100644
--- a/examples/inference/basic/basic_hy15.py
+++ b/examples/inference/basic/basic_hy15.py
@@ -13,13 +13,19 @@ def main():
     generator = VideoGenerator.from_pretrained(
         "hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v",
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,
+                    "vae": True,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
diff --git a/examples/inference/basic/basic_hy15_1080p.py b/examples/inference/basic/basic_hy15_1080p.py
index 439da4a98..a326d9f2c 100644
--- a/examples/inference/basic/basic_hy15_1080p.py
+++ b/examples/inference/basic/basic_hy15_1080p.py
@@ -14,13 +14,19 @@ def main():
         "weizhou03/HunyuanVideo-1.5-Diffusers-1080p-2SR",  # 480p -> 720p -> 1080p
         # or "weizhou03/HunyuanVideo-1.5-Diffusers-1080p" # 720p -> 1080p
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,
+                    "vae": True,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
diff --git a/examples/inference/basic/basic_hyworld.py b/examples/inference/basic/basic_hyworld.py
index 9a99ed6f5..68e251142 100644
--- a/examples/inference/basic/basic_hyworld.py
+++ b/examples/inference/basic/basic_hyworld.py
@@ -35,13 +35,19 @@ def main():
     print("\nInitializing VideoGenerator for HYWorld...")
     generator = VideoGenerator.from_pretrained(
         "FastVideo/HY-WorldPlay-Bidirectional-Diffusers",
-        num_gpus=1,
-        use_fsdp_inference=True,
-        dit_cpu_offload=True,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
-        image_encoder_cpu_offload=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": True,
+                "offload": {
+                    "dit": True,
+                    "vae": True,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                    "image_encoder": True,
+                },
+            },
+        },
     )
 
     # Generate video
diff --git a/examples/inference/basic/basic_kandinsky5_i2v.py b/examples/inference/basic/basic_kandinsky5_i2v.py
index 86579913c..b64625e16 100644
--- a/examples/inference/basic/basic_kandinsky5_i2v.py
+++ b/examples/inference/basic/basic_kandinsky5_i2v.py
@@ -10,13 +10,19 @@ def main():
         "kandinskylab/Kandinsky-5.0-I2V-Pro-distilled-5s-Diffusers",
         # "kandinskylab/Kandinsky-5.0-I2V-Pro-sft-5s-Diffusers"
         # "kandinskylab/Kandinsky-5.0-I2V-Lite-5s-Diffusers"
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     prompt = ("A woman stands up and walks away")
diff --git a/examples/inference/basic/basic_kandinsky5_t2v.py b/examples/inference/basic/basic_kandinsky5_t2v.py
index a4dcc175a..b5d9481f7 100644
--- a/examples/inference/basic/basic_kandinsky5_t2v.py
+++ b/examples/inference/basic/basic_kandinsky5_t2v.py
@@ -9,13 +9,19 @@ def main():
         # "kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers"
         # "kandinskylab/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers"
         # "kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers"
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
diff --git a/examples/inference/basic/basic_lingbot_video.py b/examples/inference/basic/basic_lingbot_video.py
index a39fd0b4f..a57d81757 100644
--- a/examples/inference/basic/basic_lingbot_video.py
+++ b/examples/inference/basic/basic_lingbot_video.py
@@ -29,11 +29,17 @@ def main() -> None:
     args = parse_args()
     generator = VideoGenerator.from_pretrained(
         str(args.model_path),
-        num_gpus=1,
-        use_fsdp_inference=False,
-        text_encoder_cpu_offload=True,
-        vae_cpu_offload=False,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "text_encoder": True,
+                    "vae": False,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
     try:
         generator.generate({
diff --git a/examples/inference/basic/basic_lingbotworld_base_cam.py b/examples/inference/basic/basic_lingbotworld_base_cam.py
index 7f586ab79..766788ad9 100644
--- a/examples/inference/basic/basic_lingbotworld_base_cam.py
+++ b/examples/inference/basic/basic_lingbotworld_base_cam.py
@@ -13,14 +13,20 @@ def main():
     generator = VideoGenerator.from_pretrained(
         "FastVideo/LingBot-World-Base-Cam-Diffusers",
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,  # DiT need to be offloaded for MoE
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,  # DiT need to be offloaded for MoE
+                    "vae": False,
+                    "text_encoder": True,
+                    # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     num_frames = 81
diff --git a/examples/inference/basic/basic_ltx2.py b/examples/inference/basic/basic_ltx2.py
index b1da6b0ec..fd11cc59f 100644
--- a/examples/inference/basic/basic_ltx2.py
+++ b/examples/inference/basic/basic_ltx2.py
@@ -17,7 +17,11 @@ def main() -> None:
     # Uses FastVideo default sampling settings for LTX2 base.
     generator = VideoGenerator.from_pretrained(
         "Davids048/LTX2-Base-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
 
     output_path = "outputs_video/ltx2_basic/output_ltx2_base_t2v_1088_1920_1.1.mp4"
diff --git a/examples/inference/basic/basic_ltx2_distilled.py b/examples/inference/basic/basic_ltx2_distilled.py
index 817522b14..a6d2bf696 100644
--- a/examples/inference/basic/basic_ltx2_distilled.py
+++ b/examples/inference/basic/basic_ltx2_distilled.py
@@ -19,7 +19,11 @@ os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "FLASH_ATTN"
 def main() -> None:
     generator = VideoGenerator.from_pretrained(
         "FastVideo/LTX2-Distilled-Diffusers",
-        num_gpus=4,
+        {
+            "engine": {
+                "num_gpus": 4,
+            },
+        },
     )
 
     output_path = "outputs_video/ltx2_basic/output_ltx2_distilled_t2v.mp4"
diff --git a/examples/inference/basic/basic_lucy_edit.py b/examples/inference/basic/basic_lucy_edit.py
index 6329c4846..42bda0f4c 100644
--- a/examples/inference/basic/basic_lucy_edit.py
+++ b/examples/inference/basic/basic_lucy_edit.py
@@ -6,12 +6,18 @@ OUTPUT_PATH = "video_samples_lucy_edit"
 def main():
     generator = VideoGenerator.from_pretrained(
         "decart-ai/Lucy-Edit-Dev",
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=True,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": True,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     prompt = ("Change the apron and blouse to a classic clown costume: satin "
diff --git a/examples/inference/basic/basic_matrixgame2.py b/examples/inference/basic/basic_matrixgame2.py
index bab669d80..5343611d8 100644
--- a/examples/inference/basic/basic_matrixgame2.py
+++ b/examples/inference/basic/basic_matrixgame2.py
@@ -51,14 +51,20 @@ def main():
     generator = VideoGenerator.from_pretrained(
         config["model_path"],
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,  # DiT need to be offloaded for MoE
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,  # DiT need to be offloaded for MoE
+                    "vae": False,
+                    "text_encoder": True,
+                    # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     num_frames = 597
diff --git a/examples/inference/basic/basic_matrixgame2_streaming.py b/examples/inference/basic/basic_matrixgame2_streaming.py
index 454dafb29..c795c01b9 100644
--- a/examples/inference/basic/basic_matrixgame2_streaming.py
+++ b/examples/inference/basic/basic_matrixgame2_streaming.py
@@ -58,14 +58,20 @@ async def main():
     generator = StreamingVideoGenerator.from_pretrained(
         config["model_path"],
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,  # DiT need to be offloaded for MoE
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,  # DiT need to be offloaded for MoE
+                    "vae": False,
+                    "text_encoder": True,
+                    # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     max_blocks = 50
diff --git a/examples/inference/basic/basic_matrixgame3.py b/examples/inference/basic/basic_matrixgame3.py
index e3d8fa2f7..c5c8cdd0d 100644
--- a/examples/inference/basic/basic_matrixgame3.py
+++ b/examples/inference/basic/basic_matrixgame3.py
@@ -9,12 +9,18 @@ OUTPUT_PATH = "video_samples_matrixgame3"
 def main():
     generator = VideoGenerator.from_pretrained(
         MODEL_PATH,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     generator.generate({
diff --git a/examples/inference/basic/basic_ray.py b/examples/inference/basic/basic_ray.py
index 05f2a558f..a05f1a202 100644
--- a/examples/inference/basic/basic_ray.py
+++ b/examples/inference/basic/basic_ray.py
@@ -13,14 +13,20 @@ def main():
     generator = VideoGenerator.from_pretrained(
         "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
         # FastVideo will automatically handle distributed setup
-        num_gpus=2,
-        use_fsdp_inference=True,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
-        distributed_executor_backend="ray",
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 2,
+                "use_fsdp_inference": True,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+                    # "image_encoder": False,
+                },
+                "execution_backend": "ray",
+            },
+        },
     )
 
     # Generate videos with the same simple API, regardless of GPU count
diff --git a/examples/inference/basic/basic_self_forcing_causal.py b/examples/inference/basic/basic_self_forcing_causal.py
index 1ea839882..7bbe940c0 100644
--- a/examples/inference/basic/basic_self_forcing_causal.py
+++ b/examples/inference/basic/basic_self_forcing_causal.py
@@ -14,10 +14,16 @@ def main():
     generator = VideoGenerator.from_pretrained(
         model_name,
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        text_encoder_cpu_offload=False,
-        dit_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "text_encoder": False,
+                    "dit": False,
+                },
+            },
+        },
     )
 
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
diff --git a/examples/inference/basic/basic_stable_audio.py b/examples/inference/basic/basic_stable_audio.py
index 5142c49e9..2e31c0b09 100644
--- a/examples/inference/basic/basic_stable_audio.py
+++ b/examples/inference/basic/basic_stable_audio.py
@@ -58,7 +58,11 @@ PROMPT = "Lo-fi hip hop instrumental with vinyl crackle and gentle piano."
 def main() -> None:
     generator = VideoGenerator.from_pretrained(
         "FastVideo/stable-audio-open-1.0-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
     output_path = "outputs_audio/stable_audio_basic/output_stable_audio.wav"
     generator.generate({
diff --git a/examples/inference/basic/basic_stable_audio_a2a.py b/examples/inference/basic/basic_stable_audio_a2a.py
index fc2e0096c..c83b36fe7 100644
--- a/examples/inference/basic/basic_stable_audio_a2a.py
+++ b/examples/inference/basic/basic_stable_audio_a2a.py
@@ -60,7 +60,11 @@ INIT_AUDIO_STRENGTH = 0.6
 def main() -> None:
     generator = VideoGenerator.from_pretrained(
         "FastVideo/stable-audio-open-1.0-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
     generator.generate({
         "prompt": PROMPT,
diff --git a/examples/inference/basic/basic_stable_audio_inpaint.py b/examples/inference/basic/basic_stable_audio_inpaint.py
index 459192cd1..3f01fc916 100644
--- a/examples/inference/basic/basic_stable_audio_inpaint.py
+++ b/examples/inference/basic/basic_stable_audio_inpaint.py
@@ -65,7 +65,11 @@ def main() -> None:
                                 "m4a/flac) before running.")
     generator = VideoGenerator.from_pretrained(
         "FastVideo/stable-audio-open-1.0-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
     generator.generate({
         "prompt": PROMPT,
diff --git a/examples/inference/basic/basic_stable_audio_small.py b/examples/inference/basic/basic_stable_audio_small.py
index 94bbd97f8..dfce9a5d2 100644
--- a/examples/inference/basic/basic_stable_audio_small.py
+++ b/examples/inference/basic/basic_stable_audio_small.py
@@ -35,7 +35,11 @@ PROMPT = "Lo-fi hip hop instrumental with vinyl crackle and gentle piano."
 def main() -> None:
     generator = VideoGenerator.from_pretrained(
         "FastVideo/stable-audio-open-small-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
     output_path = "outputs_audio/stable_audio_small/output_stable_audio_small.wav"
     generator.generate({
diff --git a/examples/inference/basic/basic_turbodiffusion.py b/examples/inference/basic/basic_turbodiffusion.py
index 608ad91e4..9fbd8ccfe 100644
--- a/examples/inference/basic/basic_turbodiffusion.py
+++ b/examples/inference/basic/basic_turbodiffusion.py
@@ -14,11 +14,16 @@ def main() -> None:
     generator = VideoGenerator.from_pretrained(
         "loayrashid/TurboWan2.1-T2V-1.3B-Diffusers",
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-
-        # set to false if using RTX 4090
-        # pin_cpu_memory=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    # set to false if using RTX 4090
+                    # "pin_cpu_memory": False,
+                },
+            },
+        },
     )
 
     # Generate videos with the same simple API, regardless of GPU count
diff --git a/examples/inference/basic/basic_turbodiffusion_14b.py b/examples/inference/basic/basic_turbodiffusion_14b.py
index 0daaaf262..e29d6f9df 100644
--- a/examples/inference/basic/basic_turbodiffusion_14b.py
+++ b/examples/inference/basic/basic_turbodiffusion_14b.py
@@ -14,7 +14,11 @@ def main() -> None:
     generator = VideoGenerator.from_pretrained(
         "loayrashid/TurboWan2.1-T2V-14B-Diffusers",
         # 14B model needs more GPUs
-        num_gpus=2,
+        {
+            "engine": {
+                "num_gpus": 2,
+            },
+        },
     )
 
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
diff --git a/examples/inference/basic/basic_turbodiffusion_i2v.py b/examples/inference/basic/basic_turbodiffusion_i2v.py
index 0a874a614..4030e98d9 100644
--- a/examples/inference/basic/basic_turbodiffusion_i2v.py
+++ b/examples/inference/basic/basic_turbodiffusion_i2v.py
@@ -14,7 +14,11 @@ def main() -> None:
     # TurboDiffusion I2V: 1-4 step image-to-video generation
     generator = VideoGenerator.from_pretrained(
         MODEL_PATH,
-        num_gpus=2,
+        {
+            "engine": {
+                "num_gpus": 2,
+            },
+        },
     )
 
     # Example prompt and image for I2V
diff --git a/examples/inference/basic/basic_wan2_2.py b/examples/inference/basic/basic_wan2_2.py
index 26366700c..aabe03d7f 100644
--- a/examples/inference/basic/basic_wan2_2.py
+++ b/examples/inference/basic/basic_wan2_2.py
@@ -11,14 +11,20 @@ def main():
     generator = VideoGenerator.from_pretrained(
         "Wan-AI/Wan2.2-T2V-A14B-Diffusers",
         # FastVideo will automatically handle distributed setup
-        num_gpus=2,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory 
-        dit_cpu_offload=True,  # DiT need to be offloaded for MoE
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 2,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory 
+                "offload": {
+                    "dit": True,  # DiT need to be offloaded for MoE
+                    "vae": False,
+                    "text_encoder": True,
+                    # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     # Generate videos with the same simple API, regardless of GPU count
diff --git a/examples/inference/basic/basic_wan2_2_Fun.py b/examples/inference/basic/basic_wan2_2_Fun.py
index 9185e4766..c2d4fd847 100644
--- a/examples/inference/basic/basic_wan2_2_Fun.py
+++ b/examples/inference/basic/basic_wan2_2_Fun.py
@@ -15,14 +15,20 @@ def main():
         "IRMChen/Wan2.1-Fun-1.3B-Control-Diffusers",
         # "alibaba-pai/Wan2.2-Fun-A14B-Control",
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,  # DiT need to be offloaded for MoE
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,  # DiT need to be offloaded for MoE
+                    "vae": False,
+                    "text_encoder": True,
+                    # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     prompt = "一位年轻女性穿着一件粉色的连衣裙，裙子上有白色的装饰和粉色的纽扣。她的头发是紫色的，头上戴着一个红色的大蝴蝶结，显得非常可爱和精致。她还戴着一个红色的领结，整体造型充满了少女感和活力。她的表情温柔，双手轻轻交叉放在身前，姿态优雅。背景是简单的灰色，没有任何多余的装饰，使得人物更加突出。她的妆容清淡自然，突显了她的清新气质。整体画面给人一种甜美、梦幻的感觉，仿佛置身于童话世界中。"
diff --git a/examples/inference/basic/basic_wan2_2_i2v.py b/examples/inference/basic/basic_wan2_2_i2v.py
index fe7f653ad..39e9538b0 100644
--- a/examples/inference/basic/basic_wan2_2_i2v.py
+++ b/examples/inference/basic/basic_wan2_2_i2v.py
@@ -13,14 +13,20 @@ def main():
     generator = VideoGenerator.from_pretrained(
         "Wan-AI/Wan2.2-I2V-A14B-Diffusers",
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,  # DiT need to be offloaded for MoE
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
-        pin_cpu_memory=True,
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,  # DiT need to be offloaded for MoE
+                    "vae": False,
+                    "text_encoder": True,
+                    # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
+                    "pin_cpu_memory": True,
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     prompt = "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside."
diff --git a/examples/inference/basic/basic_wan2_2_ti2v.py b/examples/inference/basic/basic_wan2_2_ti2v.py
index 40b82eaad..02f459797 100644
--- a/examples/inference/basic/basic_wan2_2_ti2v.py
+++ b/examples/inference/basic/basic_wan2_2_ti2v.py
@@ -12,13 +12,19 @@ def main():
     generator = VideoGenerator.from_pretrained(
         model_name,
         # FastVideo will automatically handle distributed setup
-        num_gpus=1,
-        use_fsdp_inference=False,  # set to True if GPU is out of memory
-        dit_cpu_offload=True,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
-        # image_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,  # set to True if GPU is out of memory
+                "offload": {
+                    "dit": True,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+                    # "image_encoder": False,
+                },
+            },
+        },
     )
 
     # I2V is triggered just by passing in an image_path argument
diff --git a/examples/inference/eval/all_metrics_demo.py b/examples/inference/eval/all_metrics_demo.py
index d7c7a6c4b..62f4483bc 100644
--- a/examples/inference/eval/all_metrics_demo.py
+++ b/examples/inference/eval/all_metrics_demo.py
@@ -55,7 +55,11 @@ def generate_one_ltx2_video() -> str:
     # audio track is silence/noise — unusable for audio.* metrics).
     generator = VideoGenerator.from_pretrained(
         "Davids048/LTX2-Base-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
     generator.generate({
         "prompt": PROMPT,
diff --git a/examples/inference/eval/basic_ltx2_audio_eval.py b/examples/inference/eval/basic_ltx2_audio_eval.py
index ec9aacd0e..6bc454d8d 100644
--- a/examples/inference/eval/basic_ltx2_audio_eval.py
+++ b/examples/inference/eval/basic_ltx2_audio_eval.py
@@ -39,7 +39,11 @@ METRICS = [
 def main() -> None:
     generator = VideoGenerator.from_pretrained(
         "Davids048/LTX2-Base-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
 
     output_path = "outputs_video/ltx2_audio_eval/output.mp4"
diff --git a/examples/inference/eval/basic_ltx2_eval.py b/examples/inference/eval/basic_ltx2_eval.py
index 43cf58774..66c0c5beb 100644
--- a/examples/inference/eval/basic_ltx2_eval.py
+++ b/examples/inference/eval/basic_ltx2_eval.py
@@ -58,7 +58,11 @@ def main() -> None:
     # ----- generation (matches examples/inference/basic/basic_ltx2.py) -----
     generator = VideoGenerator.from_pretrained(
         "Davids048/LTX2-Base-Diffusers",
-        num_gpus=1,
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+        },
     )
 
     output_path = "outputs_video/ltx2_basic/output_ltx2_base_t2v_1088_1920_1.1.mp4"
diff --git a/examples/inference/eval/bench_physics_iq.py b/examples/inference/eval/bench_physics_iq.py
index 018c198b9..9eb5f4ea9 100644
--- a/examples/inference/eval/bench_physics_iq.py
+++ b/examples/inference/eval/bench_physics_iq.py
@@ -54,7 +54,14 @@ def _generate_videos(rows: list[dict], videos_dir: Path, model: str, num_gpus: i
 
     print(f"[gen] {len(todo)}/{len(rows)} scenarios to render with {model} "
           f"({num_frames}x{height}x{width})...")
-    gen = VideoGenerator.from_pretrained(model, num_gpus=num_gpus)
+    gen = VideoGenerator.from_pretrained(
+        model,
+        {
+            "engine": {
+                "num_gpus": num_gpus,
+            },
+        },
+    )
     try:
         for row, out_path in todo:
             gen.generate({
diff --git a/examples/inference/eval/bench_vbench.py b/examples/inference/eval/bench_vbench.py
index c87095cad..61a2898cf 100644
--- a/examples/inference/eval/bench_vbench.py
+++ b/examples/inference/eval/bench_vbench.py
@@ -52,7 +52,14 @@ def _generate_videos(prompts: list[str], videos_dir: Path, model: str, num_gpus:
 
     print(f"[gen] {len(todo)}/{len(prompts)} prompts to render with {model} "
           f"({num_frames}x{height}x{width})...")
-    gen = VideoGenerator.from_pretrained(model, num_gpus=num_gpus)
+    gen = VideoGenerator.from_pretrained(
+        model,
+        {
+            "engine": {
+                "num_gpus": num_gpus,
+            },
+        },
+    )
     try:
         for prompt, out_path in todo:
             gen.generate({
diff --git a/examples/inference/eval/eval_ltx2_vbench.py b/examples/inference/eval/eval_ltx2_vbench.py
index 0a1af5f76..6d7f43a75 100644
--- a/examples/inference/eval/eval_ltx2_vbench.py
+++ b/examples/inference/eval/eval_ltx2_vbench.py
@@ -97,7 +97,14 @@ def generate(args: argparse.Namespace) -> Path:
     out.parent.mkdir(parents=True, exist_ok=True)
 
     print(f"[gen] loading {args.model} ({args.num_gpus} GPU)...")
-    generator = VideoGenerator.from_pretrained(args.model, num_gpus=args.num_gpus)
+    generator = VideoGenerator.from_pretrained(
+        args.model,
+        {
+            "engine": {
+                "num_gpus": args.num_gpus,
+            },
+        },
+    )
     try:
         print(f"[gen] generating to {out}...")
         generator.generate({
diff --git a/examples/inference/gradio/local/gradio_local_demo_matrixgame2.py b/examples/inference/gradio/local/gradio_local_demo_matrixgame2.py
index f39c1b81b..6676a99b0 100644
--- a/examples/inference/gradio/local/gradio_local_demo_matrixgame2.py
+++ b/examples/inference/gradio/local/gradio_local_demo_matrixgame2.py
@@ -581,12 +581,18 @@ def main():
     setup_model_environment(model_path)
     generator = StreamingVideoGenerator.from_pretrained(
         model_path,
-        num_gpus=1,
-        use_fsdp_inference=True,
-        dit_cpu_offload=True,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": True,
+                "offload": {
+                    "dit": True,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,
+                },
+            },
+        },
     )
 
     generators = {model_path: generator}
diff --git a/examples/inference/optimizations/attention_example.py b/examples/inference/optimizations/attention_example.py
index ea2a23601..d7e466254 100644
--- a/examples/inference/optimizations/attention_example.py
+++ b/examples/inference/optimizations/attention_example.py
@@ -10,12 +10,18 @@ def main():
 
     start_time = time.perf_counter()
     gen = VideoGenerator.from_pretrained(
-        model_path="Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
-        num_gpus=1,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+        "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
+        {
+            "engine": {
+                "num_gpus": 1,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": True,
+                    "pin_cpu_memory": True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
+                },
+            },
+        },
     )
     load_time = time.perf_counter() - start_time
     print(f"Model loading time: {load_time:.2f} seconds")
diff --git a/examples/inference/optimizations/fp4_attn_wan2_1_1_3b.py b/examples/inference/optimizations/fp4_attn_wan2_1_1_3b.py
index 1221e27c1..a3292d563 100644
--- a/examples/inference/optimizations/fp4_attn_wan2_1_1_3b.py
+++ b/examples/inference/optimizations/fp4_attn_wan2_1_1_3b.py
@@ -38,14 +38,24 @@ def main():
 
     generator = VideoGenerator.from_pretrained(
         args.model,
-        num_gpus=args.num_gpus,
-        nvfp4_fa4=args.nvfp4_fa4,
-        use_fsdp_inference=not args.nvfp4_fa4,
-        dit_cpu_offload=False,
-        dit_layerwise_offload=False,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        enable_torch_compile=args.compile,
+        {
+            "engine": {
+                "num_gpus": args.num_gpus,
+                "attention": {
+                    "nvfp4_fa4": args.nvfp4_fa4,
+                },
+                "use_fsdp_inference": not args.nvfp4_fa4,
+                "offload": {
+                    "dit": False,
+                    "dit_layerwise": False,
+                    "vae": True,
+                    "text_encoder": True,
+                },
+                "compile": {
+                    "enabled": args.compile,
+                },
+            },
+        },
     )
 
     prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
diff --git a/examples/inference/optimizations/torch_compile_example.py b/examples/inference/optimizations/torch_compile_example.py
index f9c39ce03..a49634e4c 100644
--- a/examples/inference/optimizations/torch_compile_example.py
+++ b/examples/inference/optimizations/torch_compile_example.py
@@ -1,6 +1,6 @@
 """torch.compile A/B example for FastVideo.
 
-`enable_torch_compile=True` compiles the DiT submodules that declare
+`engine.compile.enabled: true` compiles the DiT submodules that declare
 `_compile_conditions` for a substantial end-to-end speedup (e.g.
 Wan2.1-T2V-1.3B on A100: ~-24% e2e). It is off by default.
 
@@ -35,14 +35,20 @@ def main() -> None:
     args = parser.parse_args()
 
     mode = "COMPILE" if args.compile else "BASELINE"
-    print(f"Mode: {mode}  (enable_torch_compile={args.compile})")
+    print(f"Mode: {mode}  (engine.compile.enabled={args.compile})")
 
     os.makedirs("video_samples", exist_ok=True)
 
     generator = VideoGenerator.from_pretrained(
         args.model,
-        num_gpus=args.num_gpus,
-        enable_torch_compile=args.compile,
+        {
+            "engine": {
+                "num_gpus": args.num_gpus,
+                "compile": {
+                    "enabled": args.compile,
+                },
+            },
+        },
     )
 
     def _run(tag: str) -> float:
diff --git a/fastvideo/api/checkpoint_defaults.py b/fastvideo/api/checkpoint_defaults.py
new file mode 100644
index 000000000..ada415fba
--- /dev/null
+++ b/fastvideo/api/checkpoint_defaults.py
@@ -0,0 +1,215 @@
+# SPDX-License-Identifier: Apache-2.0
+"""Resolution steps that fill typed fields from files that a checkpoint bundles.
+
+Distilled LTX-2 checkpoints carry ``fastvideo_refine_*`` defaults in ``model_index.json``, and distilled MiniMax-H3
+checkpoints carry their trained DMD schedule in ``fastvideo_inference.json``. The steps here read those files during
+resolution, so the frozen config already holds the checkpoint's values when the pipeline loads. Each field fills only
+while it is ``None``: a value from the input always wins.
+
+A local ``model_path`` is read from disk. A Hub id downloads only the files that the steps need: the manifest through
+``fastvideo.registry.maybe_download_model_index`` (the download that the test isolation blocks), and the schedule file
+or the component ``config.json`` files through ``huggingface_hub``. When the manifest download fails, the steps leave
+their fields unset; the pipeline's own download reports the error.
+"""
+from __future__ import annotations
+
+import json
+import os
+from typing import Any
+
+from fastvideo.api.resolution import ResolutionStep, ResolutionView
+from fastvideo.logger import init_logger
+from fastvideo.utils import _split_hf_repo_subfolder, maybe_download_model, verify_model_config_and_directory
+
+logger = init_logger(__name__)
+
+# Refine component paths, by the model_index.json key that supplies the checkpoint's default.
+LTX2_REFINE_PATH_KEYS = {
+    "pipeline.ltx2.refine.transformer_path": "fastvideo_refine_transformer_path",
+    "pipeline.ltx2.refine.lora_path": "fastvideo_refine_lora_path",
+    "pipeline.ltx2.refine.noise_path": "fastvideo_refine_noise_path",
+    "pipeline.ltx2.refine.audio_noise_path": "fastvideo_refine_audio_noise_path",
+}
+# Refine switches, by the model_index.json key that supplies the checkpoint's default and the value's type.
+LTX2_REFINE_SWITCH_KEYS = (
+    ("pipeline.ltx2.refine.num_inference_steps", "fastvideo_refine_num_inference_steps", int),
+    ("pipeline.ltx2.refine.guidance_scale", "fastvideo_refine_guidance_scale", float),
+    ("pipeline.ltx2.refine.add_noise", "fastvideo_refine_add_noise", bool),
+)
+# Directory names under which published LTX-2 checkpoints bundle the refine upsampler without declaring it.
+_UPSAMPLER_DIRECTORY_NAMES = ("spatial_upscaler", "spatial_upsampler")
+# The MiniMax-H3 schedule file; the pipeline validates its contents against the loaded schedulers.
+H3_SCHEDULE_FILENAME = "fastvideo_inference.json"
+
+
+def _local_manifest(model_path: str) -> dict[str, Any] | None:
+    """The manifest of a local checkpoint directory, or ``None`` when the directory has no manifest file."""
+    manifest_names = ("model_index.json", "modular_model_index.json")
+    if not any(os.path.isfile(os.path.join(model_path, name)) for name in manifest_names):
+        return None
+    return verify_model_config_and_directory(model_path, required_component_dirs=[])
+
+
+def _hub_manifest(model_path: str, revision: str | None) -> dict[str, Any] | None:
+    """The manifest of a Hub checkpoint, or ``None`` when its download fails.
+
+    The download goes through ``fastvideo.registry`` so that a test isolation which blocks registry downloads blocks
+    this one too; the steps then leave their fields unset.
+    """
+    import fastvideo.registry as registry
+
+    try:
+        return registry.maybe_download_model_index(model_path, revision=revision)
+    except Exception as error:
+        logger.debug("Skipping the checkpoint defaults of %s: the manifest is unavailable (%s)", model_path, error)
+        return None
+
+
+def _checkpoint_manifest(model_path: str, revision: str | None) -> dict[str, Any] | None:
+    """The checkpoint manifest of ``model_path``, or ``None`` when it cannot be read."""
+    if os.path.exists(model_path):
+        return _local_manifest(model_path)
+    return _hub_manifest(model_path, revision)
+
+
+def _resolve_refine_path(root: str, value: str | None) -> str | None:
+    """A refine component path; a relative value that exists inside the checkpoint root becomes that path."""
+    if value is None:
+        return None
+    if os.path.isabs(value):
+        return value
+    candidate = os.path.join(root, value)
+    if os.path.exists(candidate):
+        return candidate
+    return value
+
+
+def _resolve_refine_upsampler_path(root: str, model_index: dict[str, Any]) -> str | None:
+    """The refine upsampler directory of a checkpoint.
+
+    The ``model_index.json`` keys ``fastvideo_refine_upsampler_path`` and then ``spatial_upsampler`` are the documented
+    override and win when present. Otherwise the checkpoint root is probed: published LTX-2 distilled checkpoints
+    bundle the upsampler weights on disk (spelled ``spatial_upscaler``) without declaring them in ``model_index.json``.
+    """
+    path = _resolve_refine_path(root, model_index.get("fastvideo_refine_upsampler_path"))
+    if path is None and "spatial_upsampler" in model_index:
+        path = _resolve_refine_path(root, "spatial_upsampler")
+    if path is None:
+        for dirname in _UPSAMPLER_DIRECTORY_NAMES:
+            candidate = os.path.join(root, dirname)
+            if os.path.isdir(candidate):
+                return candidate
+    return path
+
+
+def _ltx2_checkpoint_root(model_path: str, revision: str | None, model_index: dict[str, Any]) -> str:
+    """The directory that relative refine paths of ``model_index`` resolve against.
+
+    A local ``model_path`` is that directory. For a Hub id, a partial snapshot with every component ``config.json``
+    and every relative refine path of the manifest is downloaded; its directory is the one that the pipeline's full
+    download fills later, so the resolved paths stay valid.
+    """
+    if os.path.exists(model_path):
+        return model_path
+    relative_values = [
+        value for key in (*LTX2_REFINE_PATH_KEYS.values(), "fastvideo_refine_upsampler_path")
+        for value in (model_index.get(key), ) if isinstance(value, str) and not os.path.isabs(value)
+    ]
+    return maybe_download_model(model_path, revision=revision, allow_patterns=["*/config.json", *relative_values])
+
+
+def ltx2_refine_checkpoint_step(defaults: Any) -> ResolutionStep:
+    """Build the step that fills the unset LTX-2 refine fields from the checkpoint's ``model_index.json``.
+
+    ``defaults`` is the model's ``PipelineConfig``; the step decides nothing for a model that is not LTX-2.
+    ``fastvideo_refine_enabled`` can only turn refine on. The upsampler falls back to a directory of the checkpoint.
+    """
+
+    def fill_ltx2_refine_from_checkpoint(view: ResolutionView) -> dict[str, Any]:
+        from fastvideo.pipelines.basic.ltx2.pipeline_configs import LTX2T2VConfig
+
+        if not isinstance(defaults, LTX2T2VConfig):
+            return {}
+        model_path, revision = view.get("model_path"), view.get("revision")
+        model_index = _checkpoint_manifest(model_path, revision)
+        if model_index is None:
+            return {}
+        root = _ltx2_checkpoint_root(model_path, revision, model_index)
+        values: dict[str, Any] = {}
+        if model_index.get("fastvideo_refine_enabled") is True and view.get("pipeline.ltx2.refine.enabled") is None:
+            values["pipeline.ltx2.refine.enabled"] = True
+        if view.get("pipeline.components.upsampler_weights") is None:
+            upsampler_path = _resolve_refine_upsampler_path(root, model_index)
+            if upsampler_path is not None:
+                values["pipeline.components.upsampler_weights"] = upsampler_path
+        for path, key in LTX2_REFINE_PATH_KEYS.items():
+            if view.get(path) is None:
+                component_path = _resolve_refine_path(root, model_index.get(key))
+                if component_path is not None:
+                    values[path] = component_path
+        for path, key, convert in LTX2_REFINE_SWITCH_KEYS:
+            if view.get(path) is None and model_index.get(key) is not None:
+                values[path] = convert(model_index[key])
+        return values
+
+    fill_ltx2_refine_from_checkpoint.__qualname__ = "fill_ltx2_refine_from_checkpoint"
+    return fill_ltx2_refine_from_checkpoint
+
+
+def _checkpoint_json(model_path: str, revision: str | None, filename: str) -> Any:
+    """The parsed JSON file ``filename`` of the checkpoint, or ``None`` when the checkpoint does not have it.
+
+    For a Hub id, the manifest download gates the file download (see :func:`_hub_manifest`).
+    """
+    if os.path.exists(model_path):
+        path = os.path.join(model_path, filename)
+    else:
+        if _hub_manifest(model_path, revision) is None:
+            return None
+        from huggingface_hub import hf_hub_download
+        from huggingface_hub.utils import EntryNotFoundError
+
+        repo_id, subfolder = _split_hf_repo_subfolder(model_path)
+        try:
+            path = hf_hub_download(repo_id=repo_id,
+                                   filename=f"{subfolder}/{filename}" if subfolder else filename,
+                                   revision=revision)
+        except EntryNotFoundError:
+            return None
+    if not os.path.isfile(path):
+        return None
+    with open(path, encoding="utf-8") as handle:
+        return json.load(handle)
+
+
+def dmd_schedule_checkpoint_step(defaults: Any) -> ResolutionStep:
+    """Build the step that fills an unset ``pipeline.dmd_denoising_steps`` from a MiniMax-H3 checkpoint's
+    ``fastvideo_inference.json``.
+
+    ``defaults`` is the model's ``PipelineConfig``; the step decides nothing for a model that is not MiniMax-H3. The
+    step copies the ``dmd_denoising_steps`` list as written; the pipeline validates the file against the loaded
+    schedulers and raises on a malformed or conflicting schedule.
+    """
+
+    def fill_dmd_schedule_from_checkpoint(view: ResolutionView) -> dict[str, Any]:
+        from fastvideo.configs.pipelines.minimax_h3 import MiniMaxH3PipelineConfig
+
+        if not isinstance(defaults, MiniMaxH3PipelineConfig) or view.get("pipeline.dmd_denoising_steps") is not None:
+            return {}
+        contract = _checkpoint_json(view.get("model_path"), view.get("revision"), H3_SCHEDULE_FILENAME)
+        steps = contract.get("dmd_denoising_steps") if isinstance(contract, dict) else None
+        if not isinstance(steps, list) or not steps:
+            return {}
+        return {"pipeline.dmd_denoising_steps": list(steps)}
+
+    fill_dmd_schedule_from_checkpoint.__qualname__ = "fill_dmd_schedule_from_checkpoint"
+    return fill_dmd_schedule_from_checkpoint
+
+
+__all__ = [
+    "H3_SCHEDULE_FILENAME",
+    "LTX2_REFINE_PATH_KEYS",
+    "LTX2_REFINE_SWITCH_KEYS",
+    "dmd_schedule_checkpoint_step",
+    "ltx2_refine_checkpoint_step",
+]
diff --git a/fastvideo/api/compat.py b/fastvideo/api/compat.py
index 6a29be034..1447a6771 100644
--- a/fastvideo/api/compat.py
+++ b/fastvideo/api/compat.py
@@ -1,11 +1,11 @@
 # SPDX-License-Identifier: Apache-2.0
 from __future__ import annotations
 
-from collections.abc import Iterator, Mapping
+from collections.abc import Mapping
 from copy import deepcopy
-from dataclasses import fields, is_dataclass
+from dataclasses import is_dataclass
 from pathlib import Path
-from typing import Any, get_args, get_type_hints
+from typing import Any
 
 from fastvideo.api.overrides import apply_overrides, normalize_overrides
 from fastvideo.api.parser import config_to_dict, load_raw_config, parse_config
@@ -16,7 +16,6 @@ from fastvideo.api.request_metadata import (
     reset_tracking_roots,
 )
 from fastvideo.api.schema import (
-    FLAT_NAME,
     ContinuationState,
     GenerationRequest,
     GeneratorConfig,
@@ -34,36 +33,6 @@ REQUEST_BATCH_EXTRA_PASSTHROUGH_FIELDS = (
     "vsa_dense_first_n_steps",
     "vsa_dense_layers",
 )
-# The VideoGenerator.from_pretrained keywords besides model_path, config, and log_queue. Every other setting goes
-# through VideoGenerator.from_config at its typed path.
-FROM_PRETRAINED_KWARGS = frozenset({
-    "num_gpus",
-    "revision",
-    "trust_remote_code",
-    "distributed_executor_backend",
-    "tp_size",
-    "sp_size",
-    "hsdp_replicate_dim",
-    "hsdp_shard_dim",
-    "dist_timeout",
-    "use_fsdp_inference",
-    "disable_autocast",
-    "enable_stage_verification",
-    "dit_cpu_offload",
-    "dit_layerwise_offload",
-    "text_encoder_cpu_offload",
-    "image_encoder_cpu_offload",
-    "vae_cpu_offload",
-    "pin_cpu_memory",
-    "enable_torch_compile",
-    "torch_compile_kwargs",
-    "lora_path",
-    "lora_strength",
-    "output_type",
-    "nvfp4_fa4",
-})
-# torch.compile kwargs that map to first-class CompileConfig fields.
-_COMPILE_TYPED_KEYS = ("backend", "fullgraph", "mode", "dynamic")
 
 
 def normalize_generator_config(config: GeneratorConfig | Mapping[str, Any], ) -> GeneratorConfig:
@@ -93,38 +62,6 @@ def load_generator_config_from_file(
     return parse_config(GeneratorConfig, raw)
 
 
-def from_pretrained_kwargs_to_config(
-    model_path: str,
-    kwargs: Mapping[str, Any],
-) -> GeneratorConfig:
-    """Build a ``GeneratorConfig`` from ``VideoGenerator.from_pretrained`` keyword arguments.
-
-    A keyword that a schema field declares as its ``from_pretrained`` keyword sets that field. ``torch_compile_kwargs``
-    is split across ``engine.compile``, and the keywords without a field are kept in ``pipeline.experimental``. A
-    keyword outside ``FROM_PRETRAINED_KWARGS`` raises ``TypeError``.
-    """
-    unsupported = sorted(set(kwargs) - FROM_PRETRAINED_KWARGS)
-    if unsupported:
-        raise TypeError(f"VideoGenerator.from_pretrained(...) does not accept {', '.join(unsupported)}. It accepts "
-                        f"only these keywords: {', '.join(sorted(FROM_PRETRAINED_KWARGS))}. Pass every other setting "
-                        "to VideoGenerator.from_config(...) at its config path.")
-
-    raw: dict[str, Any] = {"model_path": model_path}
-    for key, value in kwargs.items():
-        if key == "torch_compile_kwargs":
-            remaining: dict[str, Any] = (dict(deepcopy(value)) if isinstance(value, Mapping) else {})
-            for first_class in _COMPILE_TYPED_KEYS:
-                if first_class in remaining:
-                    _set_dotted_path(raw, ["engine", "compile", first_class], remaining.pop(first_class))
-            if remaining:
-                _set_dotted_path(raw, ["engine", "compile", "extras"], remaining)
-        elif key in _FROM_PRETRAINED_FIELDS:
-            _set_dotted_path(raw, _FROM_PRETRAINED_FIELDS[key].split("."), value)
-        else:
-            _set_dotted_path(raw, ["pipeline", "experimental", key], deepcopy(value))
-    return parse_config(GeneratorConfig, raw)
-
-
 def normalize_generation_request(request: GenerationRequest | Mapping[str, Any], ) -> GenerationRequest:
     normalized = (request if isinstance(request, GenerationRequest) else parse_config(GenerationRequest, request))
 
@@ -190,29 +127,6 @@ def _looks_like_run_or_serve_config(raw: Mapping[str, Any]) -> bool:
     return isinstance(raw.get("generator"), Mapping)
 
 
-def _schema_fields(config_type: type, prefix: str = "") -> Iterator[tuple[str, Any]]:
-    """Yield ``(dotted path, field)`` for every field under ``config_type`` that is not a nested config.
-
-    A field whose type is a dataclass, or an optional dataclass, is a nested config and is walked into.
-    """
-    type_hints = get_type_hints(config_type)
-    for config_field in fields(config_type):
-        dotted_path = f"{prefix}{config_field.name}"
-        annotation = type_hints[config_field.name]
-        nested = [arg for arg in (annotation, *get_args(annotation)) if isinstance(arg, type) and is_dataclass(arg)]
-        if nested:
-            yield from _schema_fields(nested[0], f"{dotted_path}.")
-        else:
-            yield dotted_path, config_field
-
-
-# ``from_pretrained`` keyword -> dotted path of the GeneratorConfig field that declares it.
-_FROM_PRETRAINED_FIELDS: dict[str, str] = {
-    config_field.metadata[FLAT_NAME]: dotted_path
-    for dotted_path, config_field in _schema_fields(GeneratorConfig) if FLAT_NAME in config_field.metadata
-}
-
-
 def request_to_batch_extra(request: GenerationRequest) -> dict[str, Any]:
     """Extract typed-request extensions consumed through ``ForwardBatch.extra``."""
     return {
@@ -405,11 +319,9 @@ def _validate_batched_input_length(
 
 
 __all__ = [
-    "FROM_PRETRAINED_KWARGS",
     "REQUEST_BATCH_EXTRA_PASSTHROUGH_FIELDS",
     "explicit_request_raw",
     "explicit_request_updates",
-    "from_pretrained_kwargs_to_config",
     "load_generator_config_from_file",
     "normalize_generation_request",
     "normalize_generator_config",
diff --git a/fastvideo/api/device_policy.py b/fastvideo/api/device_policy.py
index 9b55f3f60..98bd47755 100644
--- a/fastvideo/api/device_policy.py
+++ b/fastvideo/api/device_policy.py
@@ -1,22 +1,35 @@
 # SPDX-License-Identifier: Apache-2.0
-"""Offload decisions that depend on the device a worker binds, as overrides of a resolved config.
+"""Offload decisions that depend on the device class of the local process, as resolution steps.
 
-Resolution runs before any device is chosen, so it cannot tell whether host and device memory are one physical pool.
-A worker calls :func:`finalize_device_offload_policy` once after it binds its device and keeps the returned config.
-Each decision is a recorded override (``device_policy:<name>``) on a new config object; the input is unchanged.
+The steps run in the main process during resolution, so every worker starts from a config whose offload settings are
+final. They query the platform for ``LOCAL_DEVICE_ID`` (device 0 of the local process) and assume that every device of
+a node has the same memory class: a node mixes no unified-memory and discrete devices. Importing ``fastvideo``
+initializes the CUDA driver already, so the query adds no new initialization; when the platform cannot answer (for
+example ``torch.cuda`` is unavailable), the steps decide "not unified".
 
-:func:`offload_disabled_on_unified_memory` answers the same question without overriding, for a loader that chooses a
-target device for one component.
+``UNIFIED_MEMORY_OFFLOAD_PATHS`` names the offload settings that the unified-memory policy turns off, by the flag name
+that loaders and log messages use.
+
+``APPLY_DEVICE_POLICY`` is the switch of every step here. The test isolation
+(``fastvideo/tests/api/config_snapshot.py::isolated_environment``) sets it to ``False`` the same way it blocks
+downloads, so the golden snapshots do not depend on the machine that produced them; the steps then decide nothing and
+the offload settings keep their input values.
 """
 from __future__ import annotations
 
 from typing import Any
 
-from fastvideo.api.resolution import ResolvedGeneratorConfig
+from fastvideo.api.resolution import ResolutionStep, ResolutionView
+from fastvideo.api.schema import ExecutionMode
 from fastvideo.logger import init_logger
 
 logger = init_logger(__name__)
 
+# The device whose memory class decides the policy: device 0 of the local process (see the module docstring).
+LOCAL_DEVICE_ID = 0
+# Whether the device-policy steps decide anything; the test isolation turns it off (see the module docstring).
+APPLY_DEVICE_POLICY = True
+
 # Offload settings that trade device memory for host memory, by the flag name that loaders and log messages use. All
 # of them are a loss on a device whose host and device memory are the same physical pool.
 UNIFIED_MEMORY_OFFLOAD_PATHS = {
@@ -40,107 +53,91 @@ def _device_name(device_id: int) -> str:
         return current_platform.device_name
 
 
-def has_unified_memory(device_id: int) -> bool:
-    """Whether the bound device shares one memory pool with the host.
-
-    CUDA's probe reads runtime device properties and may initialize a CUDA context, so call it only in a process
-    that owns ``device_id``.
-    """
+def has_unified_memory(device_id: int = LOCAL_DEVICE_ID) -> bool:
+    """Whether ``device_id`` shares one memory pool with the host; ``False`` when the platform cannot answer."""
     from fastvideo.platforms import current_platform
 
-    return bool(current_platform.has_unified_memory(device_id))
-
-
-def offload_disabled_on_unified_memory(device_id: int, offload_flag: str | None = None) -> bool:
-    """Whether the unified-memory policy turns off ``offload_flag`` (any offload when ``None``) on ``device_id``."""
-    if not has_unified_memory(device_id):
+    try:
+        return bool(current_platform.has_unified_memory(device_id))
+    except Exception as error:
+        logger.debug("Treating device %d as discrete: the unified-memory query failed (%s)", device_id, error)
         return False
-    return offload_flag is None or offload_flag in UNIFIED_MEMORY_OFFLOAD_PATHS
 
 
-def disable_offload_on_unified_memory(resolved_config: ResolvedGeneratorConfig,
-                                      device_id: int,
-                                      *,
-                                      unified: bool | None = None) -> ResolvedGeneratorConfig:
-    """Turn off every enabled host offload when ``device_id`` has unified memory.
-
-    ``unified`` is the probe result when the caller already has it. The decision is the override
-    ``device_policy:unified_memory``.
-    """
-    if unified is None:
-        unified = has_unified_memory(device_id)
-    if not unified:
-        return resolved_config
-    enabled = [flag for flag, path in UNIFIED_MEMORY_OFFLOAD_PATHS.items() if _typed_value(resolved_config, path)]
+def apply_unified_memory_offload_policy(view: ResolutionView) -> dict[str, Any]:
+    """Every enabled host offload of ``UNIFIED_MEMORY_OFFLOAD_PATHS`` turns off when the local device has unified
+    memory: moving weights to the host duplicates them instead of freeing device memory."""
+    if not APPLY_DEVICE_POLICY or not has_unified_memory(LOCAL_DEVICE_ID):
+        return {}
+    enabled = [flag for flag, path in UNIFIED_MEMORY_OFFLOAD_PATHS.items() if view.get(path)]
     if not enabled:
-        return resolved_config
-    device_name = _device_name(device_id)
+        return {}
+    device_name = _device_name(LOCAL_DEVICE_ID)
     for flag in enabled:
         logger.info(
             "Disabling %s: %s has unified memory, so moving weights to the host duplicates them rather than "
             "freeing device memory.", flag, device_name)
-    return resolved_config.with_override("device_policy:unified_memory",
-                                         {UNIFIED_MEMORY_OFFLOAD_PATHS[flag]: False
-                                          for flag in enabled})
+    return {UNIFIED_MEMORY_OFFLOAD_PATHS[flag]: False for flag in enabled}
 
 
-def resolve_device_offload_conflicts(resolved_config: ResolvedGeneratorConfig) -> ResolvedGeneratorConfig:
-    """Turn off offload modes that cannot run together on this platform.
+def fill_lazy_module_load(view: ResolutionView) -> dict[str, Any]:
+    """An unset ``engine.offload.lazy_module_load`` becomes ``True`` on unified memory for inference and ``False``
+    otherwise."""
+    if not APPLY_DEVICE_POLICY or view.get("engine.offload.lazy_module_load") is not None:
+        return {}
+    training = view.get("mode") in (ExecutionMode.FINETUNING, ExecutionMode.DISTILLATION)
+    lazy_module_load = not training and has_unified_memory(LOCAL_DEVICE_ID)
+    if lazy_module_load:
+        logger.info(
+            "Enabling lazy_module_load: %s has unified memory, so encoder, DiT, and VAEs cannot stay resident "
+            "together. Set engine.offload.lazy_module_load to false to keep every component loaded.",
+            _device_name(LOCAL_DEVICE_ID),
+        )
+    return {"engine.offload.lazy_module_load": lazy_module_load}
 
-    On MPS, FSDP inference and layerwise offload turn off. With layerwise offload on, FSDP inference and DiT CPU
-    offload turn off.
-    """
+
+def apply_mps_offload_policy(view: ResolutionView) -> dict[str, Any]:
+    """On MPS, FSDP inference and layerwise offload turn off."""
+    if not APPLY_DEVICE_POLICY:
+        return {}
     from fastvideo.platforms import current_platform
 
-    if current_platform.is_mps():
-        resolved_config = resolved_config.with_override("device_policy:mps", {
-            "engine.use_fsdp_inference": False,
-            "engine.offload.dit_layerwise": False
-        })
-    if _typed_value(resolved_config, "engine.offload.dit_layerwise"):
-        if _typed_value(resolved_config, "engine.use_fsdp_inference"):
-            logger.warning("dit_layerwise_offload is enabled, automatically disabling use_fsdp_inference.")
-            resolved_config = resolved_config.with_override("device_policy:layerwise_offload",
-                                                            {"engine.use_fsdp_inference": False})
-        if _typed_value(resolved_config, "engine.offload.dit"):
-            logger.warning("dit_layerwise_offload is enabled, automatically disabling dit_cpu_offload.")
-            resolved_config = resolved_config.with_override("device_policy:layerwise_offload",
-                                                            {"engine.offload.dit": False})
-    return resolved_config
+    if not current_platform.is_mps():
+        return {}
+    return {"engine.use_fsdp_inference": False, "engine.offload.dit_layerwise": False}
 
 
-def finalize_device_offload_policy(resolved_config: ResolvedGeneratorConfig,
-                                   device_id: int = 0) -> ResolvedGeneratorConfig:
-    """Apply the device-local memory policy of ``device_id``, then resolve incompatible offload modes.
-
-    On unified memory every host offload turns off. An unset ``engine.offload.lazy_module_load`` becomes ``True`` on
-    unified memory for inference and ``False`` otherwise. Applying the policy to its own result changes nothing.
-    """
-    unified = has_unified_memory(device_id)
-    resolved_config = disable_offload_on_unified_memory(resolved_config, device_id, unified=unified)
-    if _typed_value(resolved_config, "engine.offload.lazy_module_load") is None:
-        lazy_module_load = unified and not resolved_config.training_mode
-        resolved_config = resolved_config.with_override("device_policy:lazy_module_load",
-                                                        {"engine.offload.lazy_module_load": lazy_module_load})
-        if lazy_module_load:
-            logger.info(
-                "Enabling lazy_module_load: %s has unified memory, so encoder, DiT, and VAEs cannot stay "
-                "resident together. Set engine.offload.lazy_module_load to false to keep every component loaded.",
-                _device_name(device_id),
-            )
-    return resolve_device_offload_conflicts(resolved_config)
+def apply_layerwise_offload_conflicts(view: ResolutionView) -> dict[str, Any]:
+    """With layerwise offload on, FSDP inference and DiT CPU offload turn off."""
+    if not APPLY_DEVICE_POLICY or not view.get("engine.offload.dit_layerwise"):
+        return {}
+    values: dict[str, Any] = {}
+    if view.get("engine.use_fsdp_inference"):
+        logger.warning("dit_layerwise_offload is enabled, automatically disabling use_fsdp_inference.")
+        values["engine.use_fsdp_inference"] = False
+    if view.get("engine.offload.dit"):
+        logger.warning("dit_layerwise_offload is enabled, automatically disabling dit_cpu_offload.")
+        values["engine.offload.dit"] = False
+    return values
 
 
-def _typed_value(resolved_config: ResolvedGeneratorConfig, path: str) -> Any:
-    """The resolved value of a dotted path."""
-    return resolved_config.provenance(path).value
-
+# The device-policy steps in the order that they run: the unified-memory policy first, so the conflict steps see the
+# offload settings that survive it.
+DEVICE_POLICY_STEPS: tuple[ResolutionStep, ...] = (
+    apply_unified_memory_offload_policy,
+    fill_lazy_module_load,
+    apply_mps_offload_policy,
+    apply_layerwise_offload_conflicts,
+)
 
 __all__ = [
+    "APPLY_DEVICE_POLICY",
+    "DEVICE_POLICY_STEPS",
+    "LOCAL_DEVICE_ID",
     "UNIFIED_MEMORY_OFFLOAD_PATHS",
-    "disable_offload_on_unified_memory",
-    "finalize_device_offload_policy",
+    "apply_layerwise_offload_conflicts",
+    "apply_mps_offload_policy",
+    "apply_unified_memory_offload_policy",
+    "fill_lazy_module_load",
     "has_unified_memory",
-    "offload_disabled_on_unified_memory",
-    "resolve_device_offload_conflicts",
 ]
diff --git a/fastvideo/api/inference_resolution.py b/fastvideo/api/inference_resolution.py
index d9cc44206..e7c83d00d 100644
--- a/fastvideo/api/inference_resolution.py
+++ b/fastvideo/api/inference_resolution.py
@@ -11,9 +11,13 @@ precedence over a later one: user input, then environment variables, then model
 1. Environment variables fill typed fields.
 2. Model defaults from the model's ``PipelineConfig`` fill the typed fields of ``PIPELINE_CONFIG_MIRRORS`` that are
    still unset.
-3. ``pipeline.preset_overrides.refine`` sets the LTX-2 refine fields.
+3. ``pipeline.preset_overrides.refine`` sets the LTX-2 refine fields, and the checkpoint's bundled files fill the
+   LTX-2 refine fields and the MiniMax-H3 DMD schedule that are still unset (``fastvideo.api.checkpoint_defaults``).
 4. Derived values replace placeholders and load the files that a path names.
-5. Validation steps raise on inconsistent values and decide nothing.
+5. The device policy settles the offload settings for the memory class of the local device
+   (``fastvideo.api.device_policy``).
+6. Validation steps raise on inconsistent values and decide nothing.
+7. ``fill_runtime_defaults`` gives every field that is still unset its runtime default.
 
 ``fastvideo.api.training_schema`` resolves the training and preprocessing roots with the same steps plus their own.
 """
@@ -27,6 +31,8 @@ from dataclasses import fields, is_dataclass
 from typing import Any
 
 import fastvideo.envs as envs
+from fastvideo.api.checkpoint_defaults import dmd_schedule_checkpoint_step, ltx2_refine_checkpoint_step
+from fastvideo.api.device_policy import DEVICE_POLICY_STEPS
 from fastvideo.api.parser import parse_config
 from fastvideo.api.resolution import (ResolutionStep, ResolutionView, ResolvedGeneratorConfig, resolve_generator_config,
                                       thaw)
@@ -302,6 +308,18 @@ def warn_deprecated_environment_variables(view: ResolutionView) -> dict[str, Any
     return {}
 
 
+def apply_nvfp4_fa4_env(view: ResolutionView) -> dict[str, Any]:
+    """``engine.attention.nvfp4_fa4`` exports the environment that the NVFP4 FlashAttention-4 path reads.
+
+    Sets ``FASTVIDEO_NVFP4_FA4=1`` and the ``CUTE_DSL_ENABLE_TVM_FFI`` default of the CuTe DSL kernels when the field
+    is true; decides nothing.
+    """
+    if view.get("engine.attention.nvfp4_fa4"):
+        envs.FASTVIDEO_NVFP4_FA4.set(True)
+        envs.setdefault_external("CUTE_DSL_ENABLE_TVM_FFI", "1")
+    return {}
+
+
 def torch_compile_kwargs(resolved_config: ResolvedGeneratorConfig) -> dict[str, Any]:
     """The keyword arguments for ``torch.compile`` that ``engine.compile`` describes.
 
@@ -317,9 +335,8 @@ def torch_compile_kwargs(resolved_config: ResolvedGeneratorConfig) -> dict[str,
     return kwargs
 
 
-# Values that runtime code uses for typed fields that no earlier step decided. ``pipeline.ltx2.refine.*`` and
-# ``engine.offload.lazy_module_load`` are not listed: ``None`` there means "decide later" (the LTX-2 checkpoint defaults
-# and the device policy).
+# Values that runtime code uses for typed fields that no earlier step decided. The LTX-2 refine switches are the
+# stage-2 defaults of the LTX-2 pipeline; the checkpoint's model_index.json fills them first when it declares them.
 RUNTIME_DEFAULTS: dict[str, Any] = {
     "engine.attention.vsa_sparsity": 0.0,
     "engine.attention.vsa_tile_size": 256,
@@ -335,6 +352,10 @@ RUNTIME_DEFAULTS: dict[str, Any] = {
     "pipeline.minimax_h3.video_decode_backend": "h3-vae",
     "pipeline.ltx2.legacy_native_noise_order": False,
     "pipeline.ltx2.use_distilled_sigmas": True,
+    "pipeline.ltx2.refine.enabled": False,
+    "pipeline.ltx2.refine.add_noise": True,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
 }
 
 
@@ -356,6 +377,7 @@ VALIDATION_STEPS: tuple[ResolutionStep, ...] = (
     validate_attention_backend,
     validate_vae_parallel_decode_strategy,
     warn_deprecated_environment_variables,
+    apply_nvfp4_fa4_env,
 )
 
 
@@ -368,9 +390,10 @@ def generator_resolution_steps(
 ) -> tuple[ResolutionStep, ...]:
     """The resolution steps of any generator root, in the order that they run.
 
-    ``before_placeholders`` runs after the refine copy and before ``derive_parallel_sizes``, for checks that need the
-    -1 placeholders; ``after`` runs last. ``validate_parallel_sizes`` checks the sizes before
-    ``derive_num_gpus_from_parallel_sizes`` raises ``num_gpus``.
+    ``before_placeholders`` runs after the checkpoint fills and before ``derive_parallel_sizes``, for checks that need
+    the -1 placeholders; ``after`` runs last. The device-policy steps run after every fill and derivation and before
+    the validations. ``validate_parallel_sizes`` checks the sizes before ``derive_num_gpus_from_parallel_sizes`` raises
+    ``num_gpus``.
     """
     if defaults is None:
         defaults = build_model_pipeline_config(config)
@@ -378,11 +401,14 @@ def generator_resolution_steps(
         *ENVIRONMENT_STEPS,
         pipeline_config_defaults_step(config, defaults),
         copy_refine_preset_overrides,
+        ltx2_refine_checkpoint_step(defaults),
+        dmd_schedule_checkpoint_step(defaults),
         *before_placeholders,
         derive_parallel_sizes,
         derive_vae_tiling_from_ltx2_tile_sizes,
         vae_tiling_default_step(defaults),
         load_moba_config,
+        *DEVICE_POLICY_STEPS,
         *VALIDATION_STEPS,
         validate_parallel_sizes,
         derive_num_gpus_from_parallel_sizes,
@@ -537,6 +563,7 @@ __all__ = [
     "ENVIRONMENT_STEPS",
     "PIPELINE_CONFIG_MIRRORS",
     "VALIDATION_STEPS",
+    "apply_nvfp4_fa4_env",
     "build_model_pipeline_config",
     "copy_refine_preset_overrides",
     "derive_num_gpus_from_parallel_sizes",
diff --git a/fastvideo/api/schema.py b/fastvideo/api/schema.py
index 64fab5b76..3d40df2c2 100644
--- a/fastvideo/api/schema.py
+++ b/fastvideo/api/schema.py
@@ -1,20 +1,10 @@
 # SPDX-License-Identifier: Apache-2.0
 from __future__ import annotations
 
-from dataclasses import MISSING, dataclass, field
+from dataclasses import dataclass, field
 from enum import Enum
 from typing import Any, Literal
 
-# Field metadata key that holds the ``VideoGenerator.from_pretrained`` keyword that sets a field.
-# ``fastvideo.api.compat.from_pretrained_kwargs_to_config`` maps each keyword of ``FROM_PRETRAINED_KWARGS`` to the
-# field that declares it.
-FLAT_NAME = "flat_name"
-
-
-def flat_field(flat_name: str, default: Any = MISSING, *, default_factory: Any = MISSING) -> Any:
-    """Declare a dataclass field that the ``VideoGenerator.from_pretrained`` keyword ``flat_name`` sets."""
-    return field(default=default, default_factory=default_factory, metadata={FLAT_NAME: flat_name})
-
 
 class ExecutionMode(str, Enum):
     """
@@ -69,23 +59,23 @@ class ServerConfig:
 
 @dataclass
 class ParallelismConfig:
-    tp_size: int = flat_field("tp_size", -1)
-    sp_size: int = flat_field("sp_size", -1)
-    hsdp_replicate_dim: int = flat_field("hsdp_replicate_dim", 1)
-    hsdp_shard_dim: int = flat_field("hsdp_shard_dim", -1)
-    dist_timeout: int | None = flat_field("dist_timeout", None)
+    tp_size: int = -1
+    sp_size: int = -1
+    hsdp_replicate_dim: int = 1
+    hsdp_shard_dim: int = -1
+    dist_timeout: int | None = None
     master_port: int | None = None
     """Port of the rendezvous that the executor opens for its workers. ``None`` picks an open port."""
 
 
 @dataclass
 class OffloadConfig:
-    dit: bool = flat_field("dit_cpu_offload", True)
-    dit_layerwise: bool = flat_field("dit_layerwise_offload", True)
-    text_encoder: bool = flat_field("text_encoder_cpu_offload", True)
-    image_encoder: bool = flat_field("image_encoder_cpu_offload", True)
-    vae: bool = flat_field("vae_cpu_offload", True)
-    pin_cpu_memory: bool = flat_field("pin_cpu_memory", True)
+    dit: bool = True
+    dit_layerwise: bool = True
+    text_encoder: bool = True
+    image_encoder: bool = True
+    vae: bool = True
+    pin_cpu_memory: bool = True
     # Not a CPU offload: loads each heavy component on first use and frees it
     # after the last stage that needs it, so peak memory is the largest
     # overlapping set rather than the sum. Grouped here because it is the same
@@ -111,7 +101,7 @@ class CompileConfig:
     leaving it empty inherits the master kwargs.
     """
 
-    enabled: bool = flat_field("enable_torch_compile", False)
+    enabled: bool = False
     backend: str | None = None
     fullgraph: bool | None = None
     mode: str | None = None
@@ -144,6 +134,9 @@ class AttentionConfig:
     """Path to a JSON config for V-MoBA attention."""
     moba_config: dict[str, Any] | None = None
     """V-MoBA attention settings. Resolution loads them from ``moba_config_path`` when that path is set."""
+    nvfp4_fa4: bool = False
+    """FlashAttention-4 with Q and K quantized to NVFP4. Resolution exports ``FASTVIDEO_NVFP4_FA4=1`` and the
+    ``CUTE_DSL_ENABLE_TVM_FFI`` default that the CuTe DSL kernels need when this is true."""
 
 
 Precision = Literal["fp32", "fp16", "bf16"]
@@ -169,16 +162,16 @@ class QuantizationConfig:
 
 @dataclass
 class EngineConfig:
-    num_gpus: int = flat_field("num_gpus", 1)
-    execution_backend: Literal["mp", "ray"] = flat_field("distributed_executor_backend", "mp")
+    num_gpus: int = 1
+    execution_backend: Literal["mp", "ray"] = "mp"
     parallelism: ParallelismConfig = field(default_factory=ParallelismConfig)
     offload: OffloadConfig = field(default_factory=OffloadConfig)
     compile: CompileConfig = field(default_factory=CompileConfig)
     attention: AttentionConfig = field(default_factory=AttentionConfig)
     precision: PrecisionConfig = field(default_factory=PrecisionConfig)
-    enable_stage_verification: bool = flat_field("enable_stage_verification", True)
-    use_fsdp_inference: bool = flat_field("use_fsdp_inference", False)
-    disable_autocast: bool = flat_field("disable_autocast", False)
+    enable_stage_verification: bool = True
+    use_fsdp_inference: bool = False
+    disable_autocast: bool = False
     quantization: QuantizationConfig | None = None
 
 
@@ -191,9 +184,9 @@ class ComponentConfig:
     transformer_2_weights: str | None = None
     vae_weights: str | None = None
     upsampler_weights: str | None = None
-    lora_path: str | None = flat_field("lora_path", None)
+    lora_path: str | None = None
     lora_nickname: str = "default"
-    lora_strength: float = flat_field("lora_strength", 1.0)
+    lora_strength: float = 1.0
     lora_target_modules: list[str] | None = None
     """Module name substrings that restrict LoRA injection, such as ``["q_proj", "v_proj"]``. ``None`` adapts the
     default modules."""
@@ -205,10 +198,11 @@ class ComponentConfig:
 class LTX2RefineOptions:
     """Stage-2 refine settings. ``pipeline.components.upsampler_weights`` holds the refine upsampler.
 
-    Resolution copies ``pipeline.preset_overrides.refine`` into the fields of the same name. When the pipeline loads,
-    the ``fastvideo_refine_*`` defaults of the checkpoint's ``model_index.json`` fill each field that is still ``None``
-    (``fastvideo_refine_enabled`` can only turn refine on); ``enabled``, ``add_noise``, ``guidance_scale``, and
-    ``num_inference_steps`` that are still ``None`` then become ``False``, ``True``, 1.0, and 3.
+    Resolution copies ``pipeline.preset_overrides.refine`` into the fields of the same name; then the step
+    ``fill_ltx2_refine_from_checkpoint`` fills each field that is still ``None`` from the ``fastvideo_refine_*``
+    defaults of the checkpoint's ``model_index.json`` (``fastvideo_refine_enabled`` can only turn refine on); and
+    ``fill_runtime_defaults`` gives ``enabled``, ``add_noise``, ``guidance_scale``, and ``num_inference_steps`` that
+    are still ``None`` the values ``False``, ``True``, 1.0, and 3.
     """
 
     enabled: bool | None = None
@@ -305,7 +299,7 @@ class PipelineSelection:
     """Timesteps of a few-step distilled (DMD) sampler. ``None`` keeps the model's default."""
     boundary_ratio: float | None = None
     """Mixture-of-experts switch point of a two-transformer model. ``None`` keeps the model's default."""
-    output_type: str = flat_field("output_type", "pil")
+    output_type: str = "pil"
     """Output of the decoding stage: ``pil`` for decoded frames, ``latent`` to skip the VAE decode."""
     dit: dict[str, Any] = field(default_factory=dict)
     """Overrides for fields of the model's DiT config, such as ``prefix``."""
@@ -323,8 +317,8 @@ class GeneratorConfig:
     model_path: str
     mode: ExecutionMode = ExecutionMode.INFERENCE
     """What the run does: inference, preprocessing, finetuning, or distillation."""
-    revision: str | None = flat_field("revision", None)
-    trust_remote_code: bool = flat_field("trust_remote_code", False)
+    revision: str | None = None
+    trust_remote_code: bool = False
     engine: EngineConfig = field(default_factory=EngineConfig)
     pipeline: PipelineSelection = field(default_factory=PipelineSelection)
 
diff --git a/fastvideo/api/training_schema.py b/fastvideo/api/training_schema.py
index 229a077dd..172caeda2 100644
--- a/fastvideo/api/training_schema.py
+++ b/fastvideo/api/training_schema.py
@@ -226,27 +226,6 @@ class PreprocessRunConfig(GeneratorConfig):
     preprocess: PreprocessConfig = field(default_factory=PreprocessConfig)
 
 
-def resolve_training_offload_conflicts(view: ResolutionView) -> dict[str, Any]:
-    """Settle offload modes that cannot run together in training, before any device is bound.
-
-    On MPS, FSDP inference and layerwise offload turn off. With layerwise offload on, FSDP inference and DiT CPU
-    offload turn off.
-    """
-    from fastvideo.platforms import current_platform
-
-    values: dict[str, Any] = {}
-    if current_platform.is_mps():
-        values.update({"engine.use_fsdp_inference": False, "engine.offload.dit_layerwise": False})
-    if values.get("engine.offload.dit_layerwise", view.get("engine.offload.dit_layerwise")):
-        if view.get("engine.use_fsdp_inference"):
-            logger.warning("dit_layerwise_offload is enabled, automatically disabling use_fsdp_inference.")
-            values["engine.use_fsdp_inference"] = False
-        if view.get("engine.offload.dit"):
-            logger.warning("dit_layerwise_offload is enabled, automatically disabling dit_cpu_offload.")
-            values["engine.offload.dit"] = False
-    return values
-
-
 def keep_training_dit_on_device(view: ResolutionView) -> dict[str, Any]:
     """A finetuning or distillation run keeps the DiT on the device, so ``engine.offload.dit`` turns off."""
     training = view.get("mode") in (ExecutionMode.FINETUNING, ExecutionMode.DISTILLATION)
@@ -297,13 +276,12 @@ def validate_preprocess_options(view: ResolutionView) -> dict[str, Any]:
 def training_resolution_steps(config: GeneratorConfig, defaults: Any = None) -> tuple[ResolutionStep, ...]:
     """The resolution steps of a ``TrainingRunConfig``, in the order that they run.
 
-    The offload conflicts and the parallel-size check run on the placeholders, before ``derive_parallel_sizes``
-    replaces them.
+    The parallel-size check runs on the placeholders, before ``derive_parallel_sizes`` replaces them. The offload
+    conflicts are settled by the device-policy steps of the generator list.
     """
     return generator_resolution_steps(config,
                                       defaults,
-                                      before_placeholders=(resolve_training_offload_conflicts,
-                                                           validate_training_parallel_sizes),
+                                      before_placeholders=(validate_training_parallel_sizes, ),
                                       after=(derive_lora_alpha_from_rank, keep_training_dit_on_device))
 
 
@@ -391,7 +369,6 @@ __all__ = [
     "preprocess_resolution_steps",
     "resolve_preprocess_config",
     "resolve_training_config",
-    "resolve_training_offload_conflicts",
     "training_resolution_steps",
     "validate_preprocess_options",
     "validate_training_parallel_sizes",
diff --git a/fastvideo/attention/backends/flash_attn.py b/fastvideo/attention/backends/flash_attn.py
index 5ff725a40..5f6f2dd85 100644
--- a/fastvideo/attention/backends/flash_attn.py
+++ b/fastvideo/attention/backends/flash_attn.py
@@ -36,7 +36,7 @@ logger.info("Worker %s Using FlashAttention-%s backend",
             local_main_process_only=False)
 
 # FP4 FA4 support: quantize Q/K to NVFP4 E2M1 for block-scaled MMA on Blackwell.
-# Requires: flash-attention-fp4, flashinfer, cutlass-dsl. Enable via nvfp4_fa4=True kwarg.
+# Requires: flash-attention-fp4, flashinfer, cutlass-dsl. Enable via ``engine.attention.nvfp4_fa4``.
 # The FP4 path uses a dedicated custom_op wrapper (flash_attn_fp4_func) so that
 # torch.compile treats the CuTeDSL kernel as an opaque boundary.
 try:
diff --git a/fastvideo/configs/pipelines/base.py b/fastvideo/configs/pipelines/base.py
index 7f20a8b36..184f4c423 100644
--- a/fastvideo/configs/pipelines/base.py
+++ b/fastvideo/configs/pipelines/base.py
@@ -90,8 +90,8 @@ class PipelineConfig:
     def __setattr__(self, name: str, value: Any) -> None:
         if self.__dict__.get("_frozen") and name in self.__dataclass_fields__:
             raise AttributeError(f"{type(self).__name__}.{name} was decided by config resolution and is read-only; "
-                                 f"to change pipeline_config.{name}, override its typed path with "
-                                 "resolved_config.with_override(source, {path: value}) and use the returned config")
+                                 f"set the typed path of pipeline_config.{name} in the input config, or decide it in a "
+                                 "resolution step")
         super().__setattr__(name, value)
 
     def freeze(self) -> None:
diff --git a/fastvideo/dataset/__init__.py b/fastvideo/dataset/__init__.py
index 30f36bab0..36881e54f 100644
--- a/fastvideo/dataset/__init__.py
+++ b/fastvideo/dataset/__init__.py
@@ -9,9 +9,9 @@ from fastvideo.dataset.transform import (CenterCropResizeVideo, Normalize255, Te
 from fastvideo.dataset.validation_dataset import ValidationDataset
 
 
-def getdataset(preprocess_config) -> VideoCaptionMergedDataset:
+def getdataset(preprocess_config, model_path: str) -> VideoCaptionMergedDataset:
     """Build the video-caption dataset of ``preprocess_config``, the ``preprocess`` section of a resolved
-    ``PreprocessRunConfig``."""
+    ``PreprocessRunConfig``. ``model_path`` is the local checkpoint directory that holds the tokenizer."""
     temporal_sample = (TemporalRandomCrop(preprocess_config.num_frames)
                        if preprocess_config.do_temporal_sample else None)  # 16 x
     norm_fun = Lambda(lambda x: 2.0 * x - 1.0)
@@ -32,15 +32,19 @@ def getdataset(preprocess_config) -> VideoCaptionMergedDataset:
     ])
     return VideoCaptionMergedDataset(data_merge_path=preprocess_config.data_merge_path,
                                      preprocess_config=preprocess_config,
+                                     model_path=model_path,
                                      transform=transform,
                                      temporal_sample=temporal_sample,
                                      transform_topcrop=transform_topcrop,
                                      seed=preprocess_config.seed)
 
 
-def gettextdataset(preprocess_config) -> TextDataset:
+def gettextdataset(preprocess_config, model_path: str) -> TextDataset:
+    """Build the text dataset of ``preprocess_config``; ``model_path`` is the local checkpoint directory that holds
+    the tokenizer."""
     return TextDataset(data_merge_path=preprocess_config.data_merge_path,
                        preprocess_config=preprocess_config,
+                       model_path=model_path,
                        seed=preprocess_config.seed)
 
 
diff --git a/fastvideo/dataset/preprocessing_datasets.py b/fastvideo/dataset/preprocessing_datasets.py
index 8d7cf9c6c..71060c243 100644
--- a/fastvideo/dataset/preprocessing_datasets.py
+++ b/fastvideo/dataset/preprocessing_datasets.py
@@ -387,6 +387,7 @@ class VideoCaptionMergedDataset(torch.utils.data.IterableDataset, torch.distribu
     def __init__(self,
                  data_merge_path: str,
                  preprocess_config,
+                 model_path: str,
                  transform,
                  temporal_sample,
                  transform_topcrop,
@@ -397,8 +398,8 @@ class VideoCaptionMergedDataset(torch.utils.data.IterableDataset, torch.distribu
         self.temporal_sample = temporal_sample
         self.seed = seed
 
-        # Initialize tokenizer
-        tokenizer_path = os.path.join(preprocess_config.model_path, "tokenizer")
+        # Initialize tokenizer from the local checkpoint directory
+        tokenizer_path = os.path.join(model_path, "tokenizer")
         tokenizer = None
         if os.path.exists(tokenizer_path):
             try:
@@ -565,13 +566,13 @@ class TextDataset(torch.utils.data.IterableDataset, torch.distributed.checkpoint
     This dataset processes text data through text encoding stages only.
     """
 
-    def __init__(self, data_merge_path: str, preprocess_config, start_idx: int = 0, seed: int = 42):
+    def __init__(self, data_merge_path: str, preprocess_config, model_path: str, start_idx: int = 0, seed: int = 42):
         self.data_merge_path = data_merge_path
         self.start_idx = start_idx
         self.seed = seed
 
-        # Initialize tokenizer
-        tokenizer_path = os.path.join(preprocess_config.model_path, "tokenizer")
+        # Initialize tokenizer from the local checkpoint directory
+        tokenizer_path = os.path.join(model_path, "tokenizer")
         tokenizer = AutoTokenizer.from_pretrained(tokenizer_path, cache_dir=preprocess_config.cache_dir)
 
         # Initialize text encoding stage
diff --git a/fastvideo/entrypoints/streaming/server.py b/fastvideo/entrypoints/streaming/server.py
index cabecf614..911314713 100644
--- a/fastvideo/entrypoints/streaming/server.py
+++ b/fastvideo/entrypoints/streaming/server.py
@@ -189,7 +189,7 @@ def run_server(serve_config: ServeConfig, *, generator: _GeneratorProto | None =
     if generator is None:
         from fastvideo import VideoGenerator  # lazy to avoid boot cost
 
-        generator = VideoGenerator.from_pretrained(config=serve_config.generator)
+        generator = VideoGenerator.from_config(serve_config.generator)
     app = build_app(serve_config, generator)
     uvicorn.run(
         app,
diff --git a/fastvideo/entrypoints/streaming/worker.py b/fastvideo/entrypoints/streaming/worker.py
index d90ddb2a3..bbd96a8ad 100644
--- a/fastvideo/entrypoints/streaming/worker.py
+++ b/fastvideo/entrypoints/streaming/worker.py
@@ -56,7 +56,7 @@ def worker_main(
     try:
         from fastvideo import VideoGenerator
 
-        generator = VideoGenerator.from_pretrained(config=generator_config)
+        generator = VideoGenerator.from_config(generator_config)
         if warmup_config.enabled:
             _warmup_worker(generator, warmup_config)
         result_queue.put({"kind": "ready", "worker_id": worker_id})
diff --git a/fastvideo/entrypoints/video_generator.py b/fastvideo/entrypoints/video_generator.py
index 283be9ec9..eb50199da 100644
--- a/fastvideo/entrypoints/video_generator.py
+++ b/fastvideo/entrypoints/video_generator.py
@@ -29,7 +29,6 @@ import fastvideo.envs as envs
 from fastvideo.api.compat import (
     REQUEST_BATCH_EXTRA_PASSTHROUGH_FIELDS,
     expand_request_prompt_batch,
-    from_pretrained_kwargs_to_config,
     load_generator_config_from_file,
     normalize_generation_request,
     normalize_generator_config,
@@ -150,49 +149,41 @@ class VideoGenerator:
     @classmethod
     def from_pretrained(
         cls,
-        model_path: str | GeneratorConfig | Mapping[str, Any] | None = None,
-        **kwargs,
+        model_path: str,
+        config: GeneratorConfig | Mapping[str, Any] | None = None,
+        *,
+        log_queue=None,
+        **flat_keywords,
     ) -> "VideoGenerator":
         """
         Create a video generator from a pretrained model.
 
+        ``from_pretrained(model_path, config)`` is ``from_config({"model_path": model_path, **config})``.
+
         Args:
             model_path: Path or identifier for the pretrained model
-            **kwargs: The common engine and offload keywords in
-                ``fastvideo.api.compat.FROM_PRETRAINED_KWARGS``, such as
-                ``num_gpus`` and ``dit_cpu_offload``. Pass any other setting
-                through ``VideoGenerator.from_config(...)``.
+            config: The settings besides ``model_path``, as a nested mapping such as
+                ``{"engine": {"num_gpus": 2, "offload": {"dit": False}}}`` or a ``GeneratorConfig``. A
+                ``model_path`` inside it must equal ``model_path``.
+            log_queue: Optional multiprocessing.Queue to forward worker logs to
 
         Returns:
             The created video generator
         """
-        log_queue = kwargs.pop("log_queue", None)
-        if kwargs.pop("nvfp4_fa4", False):
-            import os
-            os.environ["FASTVIDEO_NVFP4_FA4"] = "1"
-            envs.setdefault_external("CUTE_DSL_ENABLE_TVM_FFI", "1")
-        typed_config = kwargs.pop("config", None)
-        if typed_config is not None:
-            if model_path is not None:
-                raise TypeError("Pass either model_path or config to from_pretrained, not both")
-            if kwargs:
-                unexpected = ", ".join(sorted(kwargs))
-                raise TypeError(f"Unexpected keyword arguments with config: {unexpected}")
-            return cls.from_config(typed_config, log_queue=log_queue)
-
-        if isinstance(model_path, GeneratorConfig | Mapping):
-            if kwargs:
-                unexpected = ", ".join(sorted(kwargs))
-                raise TypeError(f"Unexpected keyword arguments with typed config: {unexpected}")
-            return cls.from_config(model_path, log_queue=log_queue)
-
-        if model_path is None:
-            raise TypeError("model_path or config is required")
-
-        return cls.from_config(
-            from_pretrained_kwargs_to_config(model_path, kwargs),
-            log_queue=log_queue,
-        )
+        if flat_keywords:
+            unexpected = ", ".join(sorted(flat_keywords))
+            raise TypeError(f"VideoGenerator.from_pretrained(...) does not accept {unexpected}. Pass settings as a "
+                            "nested config at their typed paths, for example "
+                            "from_pretrained(model_path, {'engine': {'num_gpus': 2, 'offload': {'dit': False}}}).")
+        if config is None:
+            return cls.from_config({"model_path": model_path}, log_queue=log_queue)
+        if isinstance(config, GeneratorConfig):
+            if config.model_path != model_path:
+                raise ValueError(f"config.model_path {config.model_path!r} differs from model_path {model_path!r}")
+            return cls.from_config(config, log_queue=log_queue)
+        if config.get("model_path", model_path) != model_path:
+            raise ValueError(f"config['model_path'] {config['model_path']!r} differs from model_path {model_path!r}")
+        return cls.from_config({**config, "model_path": model_path}, log_queue=log_queue)
 
     @classmethod
     def from_config(
diff --git a/fastvideo/models/loader/component_loader.py b/fastvideo/models/loader/component_loader.py
index 906f0af4e..1e5e9beb1 100644
--- a/fastvideo/models/loader/component_loader.py
+++ b/fastvideo/models/loader/component_loader.py
@@ -19,7 +19,7 @@ from torch.distributed import init_device_mesh
 from transformers import AutoImageProcessor, AutoProcessor, AutoTokenizer
 from transformers.utils import SAFE_WEIGHTS_INDEX_NAME
 
-from fastvideo.api.device_policy import UNIFIED_MEMORY_OFFLOAD_PATHS, offload_disabled_on_unified_memory
+from fastvideo.api.device_policy import UNIFIED_MEMORY_OFFLOAD_PATHS
 from fastvideo.api.inference_resolution import torch_compile_kwargs
 from fastvideo.api.resolution import ResolvedGeneratorConfig
 from fastvideo.attention.selector import (
@@ -358,27 +358,12 @@ class TextEncoderLoader(ComponentLoader):
             offload_flag: str = "text_encoder_cpu_offload",
     ):
         runtime_device = get_local_torch_device()
-        device_id = runtime_device.index if runtime_device.index is not None else 0
         if cpu_offload is None:
-            # offload_flag names the device-policy switch of this component; its value is the
-            # engine.offload field at the same path (text_encoder_cpu_offload -> engine.offload.text_encoder).
+            # offload_flag names the device-policy switch of this component; its value is the engine.offload field
+            # at the same path (text_encoder_cpu_offload -> engine.offload.text_encoder), which resolution already
+            # settled for the memory class of this device.
             offload_field = UNIFIED_MEMORY_OFFLOAD_PATHS[offload_flag].rsplit(".", 1)[1]
-            requested_cpu_offload = getattr(resolved_config.engine.offload, offload_field)
-        else:
-            requested_cpu_offload = cpu_offload
-        # The resolved config already carries the worker's offload policy, so only ask whether the policy covers
-        # this component.
-        disable_cpu_offload = offload_disabled_on_unified_memory(device_id, offload_flag)
-
-        if requested_cpu_offload and disable_cpu_offload:
-            # Direct loader callers can choose a CPU target before the worker
-            # applies its device-local policy. Reset both the request and the
-            # target so the model is never constructed on the host first.
-            logger.info("Disabling %s on unified-memory device %d", offload_flag, device_id)
-            cpu_offload = False
-            target_device = runtime_device
-        else:
-            cpu_offload = requested_cpu_offload
+            cpu_offload = getattr(resolved_config.engine.offload, offload_field)
         use_cpu_offload = (cpu_offload and len(getattr(model_config, "_fsdp_shard_conditions", [])) > 0)
 
         from fastvideo.platforms import current_platform
@@ -1050,11 +1035,14 @@ class TransformerLoader(ComponentLoader):
     def load(self,
              model_path: str,
              resolved_config: ResolvedGeneratorConfig,
-             loading_teacher_critic_model: bool = False):
+             loading_teacher_critic_model: bool = False,
+             override_transformer_cls_name: str | None = None):
         """Load the transformer based on the model path, and inference args.
 
         ``loading_teacher_critic_model`` marks a DMD teacher (real_score) or critic (fake_score) transformer, which
-        loads its checkpoint weights in full precision with dense attention.
+        loads its checkpoint weights in full precision with dense attention. ``override_transformer_cls_name`` is the
+        model class to build for this load; it takes precedence over
+        ``pipeline.components.override_transformer_cls_name``.
         """
         config = get_diffusers_config(model=model_path)
         hf_config = deepcopy(config)
@@ -1065,7 +1053,8 @@ class TransformerLoader(ComponentLoader):
                              "Only diffusers format is supported.")
 
         logger.info("transformer cls_name: %s", cls_name)
-        override_transformer_cls_name = resolved_config.pipeline.components.override_transformer_cls_name
+        if override_transformer_cls_name is None:
+            override_transformer_cls_name = resolved_config.pipeline.components.override_transformer_cls_name
         if override_transformer_cls_name is not None:
             cls_name = override_transformer_cls_name
             logger.info("Overriding transformer cls_name to %s", cls_name)
@@ -1392,6 +1381,7 @@ class PipelineComponentLoader:
         transformers_or_diffusers: str,
         resolved_config: ResolvedGeneratorConfig,
         loading_teacher_critic_model: bool = False,
+        override_transformer_cls_name: str | None = None,
     ):
         """
         Load a pipeline module.
@@ -1403,6 +1393,9 @@ class PipelineComponentLoader:
             resolved_config: The resolved runtime config
             loading_teacher_critic_model: Whether a transformer is a DMD teacher or critic; passed to
                 ``TransformerLoader.load`` and ignored by the other loaders
+            override_transformer_cls_name: The model class to build for a transformer, over
+                ``pipeline.components.override_transformer_cls_name``; passed to ``TransformerLoader.load`` and
+                ignored by the other loaders
 
         Returns:
             The loaded module
@@ -1438,5 +1431,6 @@ class PipelineComponentLoader:
             if isinstance(loader, TransformerLoader):
                 return loader.load(component_model_path,
                                    resolved_config,
-                                   loading_teacher_critic_model=loading_teacher_critic_model)
+                                   loading_teacher_critic_model=loading_teacher_critic_model,
+                                   override_transformer_cls_name=override_transformer_cls_name)
             return loader.load(component_model_path, resolved_config)
diff --git a/fastvideo/models/pinned_offload.py b/fastvideo/models/pinned_offload.py
index 08c45802a..faf56dd14 100644
--- a/fastvideo/models/pinned_offload.py
+++ b/fastvideo/models/pinned_offload.py
@@ -63,7 +63,7 @@ def load(module: nn.Module, device: torch.device, pin: bool = True) -> nn.Module
         return module.to(device)
     missing = [(name, t) for name, t in _tensors(module) if t.data.device != device]
     if not missing:
-        # Already resident, which is what ``vae_cpu_offload=False`` leaves. Taking
+        # Already resident, which is what ``engine.offload.vae: false`` leaves. Taking
         # host copies here would pull the whole module back over PCIe once and keep
         # a pinned mirror of it for the life of the process, for a module that never
         # leaves the device.
diff --git a/fastvideo/pipelines/basic/ltx2/ltx2_pipeline.py b/fastvideo/pipelines/basic/ltx2/ltx2_pipeline.py
index 75014e674..82d75888e 100644
--- a/fastvideo/pipelines/basic/ltx2/ltx2_pipeline.py
+++ b/fastvideo/pipelines/basic/ltx2/ltx2_pipeline.py
@@ -18,88 +18,6 @@ from fastvideo.pipelines.stages import (DecodingStage, InputValidationStage, LTX
 
 logger = init_logger(__name__)
 
-# Values of the stage-2 refine settings that neither the input nor the checkpoint's model_index.json decided.
-_REFINE_DEFAULTS: dict[str, Any] = {
-    "pipeline.ltx2.refine.enabled": False,
-    "pipeline.ltx2.refine.add_noise": True,
-    "pipeline.ltx2.refine.guidance_scale": 1.0,
-    "pipeline.ltx2.refine.num_inference_steps": 3,
-}
-# Refine component paths, by the model_index.json key that supplies the checkpoint's default.
-_REFINE_PATH_KEYS = {
-    "pipeline.ltx2.refine.transformer_path": "fastvideo_refine_transformer_path",
-    "pipeline.ltx2.refine.lora_path": "fastvideo_refine_lora_path",
-    "pipeline.ltx2.refine.noise_path": "fastvideo_refine_noise_path",
-    "pipeline.ltx2.refine.audio_noise_path": "fastvideo_refine_audio_noise_path",
-}
-
-
-def _resolve_refine_path(model_path: str, value: str | None) -> str | None:
-    """Resolve a refine component path, preferring paths inside the local
-    model snapshot when the value is relative."""
-    if value is None:
-        return None
-    if os.path.isabs(value):
-        return value
-    candidate = os.path.join(model_path, value)
-    if os.path.exists(candidate):
-        return candidate
-    return value
-
-
-def _resolve_refine_upsampler_path(model_path: str, model_index: dict[str, Any]) -> str | None:
-    """Resolve the refine upsampler directory for a local model snapshot.
-
-    model_index.json keys ("fastvideo_refine_upsampler_path", then
-    "spatial_upsampler") are the documented override and win when present.
-    Otherwise probe the snapshot root: published LTX-2 distilled checkpoints
-    bundle the upsampler weights on disk (spelled "spatial_upscaler")
-    without declaring them in model_index.json.
-    """
-    path = _resolve_refine_path(model_path, model_index.get("fastvideo_refine_upsampler_path"))
-    if path is None and "spatial_upsampler" in model_index:
-        path = _resolve_refine_path(model_path, "spatial_upsampler")
-    if path is None:
-        for dirname in ("spatial_upscaler", "spatial_upsampler"):
-            candidate = os.path.join(model_path, dirname)
-            if os.path.isdir(candidate):
-                return candidate
-    return path
-
-
-def _checkpoint_refine_values(resolved_config: ResolvedGeneratorConfig, model_path: str,
-                              model_index: dict[str, Any]) -> dict[str, Any]:
-    """The refine settings that the checkpoint's ``model_index.json`` and the refine defaults change.
-
-    Distilled checkpoints bundle ``fastvideo_refine_*`` defaults so the pipeline can configure itself. Each one fills
-    its setting only while the setting is ``None``, so a value from the input always wins; ``fastvideo_refine_enabled``
-    can only turn refine on. The upsampler falls back to a directory in the snapshot. The four switches that are still
-    ``None`` afterwards take ``_REFINE_DEFAULTS``. The result holds only the paths whose value changes.
-    """
-
-    def current(path: str) -> Any:
-        return resolved_config.provenance(path).value
-
-    values: dict[str, Any] = {}
-    if model_index.get("fastvideo_refine_enabled") is True and current("pipeline.ltx2.refine.enabled") is None:
-        values["pipeline.ltx2.refine.enabled"] = True
-    if current("pipeline.components.upsampler_weights") is None:
-        values["pipeline.components.upsampler_weights"] = _resolve_refine_upsampler_path(model_path, model_index)
-    for path, key in _REFINE_PATH_KEYS.items():
-        if current(path) is None:
-            values[path] = _resolve_refine_path(model_path, model_index.get(key))
-    for path, key, convert in (
-        ("pipeline.ltx2.refine.num_inference_steps", "fastvideo_refine_num_inference_steps", int),
-        ("pipeline.ltx2.refine.guidance_scale", "fastvideo_refine_guidance_scale", float),
-        ("pipeline.ltx2.refine.add_noise", "fastvideo_refine_add_noise", bool),
-    ):
-        if current(path) is None and model_index.get(key) is not None:
-            values[path] = convert(model_index[key])
-    for path, default in _REFINE_DEFAULTS.items():
-        if values.get(path, current(path)) is None:
-            values[path] = default
-    return {path: value for path, value in values.items() if value != current(path)}
-
 
 class LTX2Pipeline(LoRAPipeline):
 
@@ -238,13 +156,6 @@ class LTX2Pipeline(LoRAPipeline):
         model_index = self._load_config(self.model_path)
         logger.info("Loading pipeline modules from config: %s", model_index)
 
-        # Apply the refine defaults bundled in model_index.json, then the remaining refine defaults. The pipeline owns
-        # its config; later stages read the rebound one.
-        refine_values = _checkpoint_refine_values(resolved_config, self.model_path, model_index)
-        if refine_values:
-            resolved_config = resolved_config.with_override("checkpoint:model_index.json", refine_values)
-            self.resolved_config = resolved_config
-
         model_index.pop("_class_name")
         model_index.pop("_diffusers_version")
         model_index.pop("workload_type", None)
diff --git a/fastvideo/pipelines/basic/minimax_h3/minimax_h3_pipeline.py b/fastvideo/pipelines/basic/minimax_h3/minimax_h3_pipeline.py
index 8a3f5da90..071ccdf2d 100644
--- a/fastvideo/pipelines/basic/minimax_h3/minimax_h3_pipeline.py
+++ b/fastvideo/pipelines/basic/minimax_h3/minimax_h3_pipeline.py
@@ -160,10 +160,15 @@ class MiniMaxH3BasePipeline(LoRAPipeline, ComposedPipelineBase):
             shift = getattr(self.get_module(module_name), "shift", None)
             if shift is None or not math.isfinite(float(shift)) or float(shift) <= 0:
                 raise ValueError(f"MiniMax-H3 {modality} scheduler must expose a positive finite shift, got {shift}.")
-        self._load_checkpoint_schedule(resolved_config)
+        self._validate_checkpoint_schedule(resolved_config)
 
-    def _load_checkpoint_schedule(self, resolved_config: ResolvedGeneratorConfig) -> None:
-        """A distilled export's schedule is explicit; never silently use a uniform grid."""
+    def _validate_checkpoint_schedule(self, resolved_config: ResolvedGeneratorConfig) -> None:
+        """Check the checkpoint's ``fastvideo_inference.json`` against the loaded schedulers and the resolved schedule.
+
+        Resolution fills ``pipeline.dmd_denoising_steps`` from that file (``fill_dmd_schedule_from_checkpoint``); a
+        distilled export's schedule is explicit, so a config that disagrees with the file, or that has no schedule
+        although the file declares one, raises rather than silently using a uniform grid.
+        """
         path = Path(self.model_path) / "fastvideo_inference.json"
         if not path.is_file():
             return
@@ -190,10 +195,12 @@ class MiniMaxH3BasePipeline(LoRAPipeline, ComposedPipelineBase):
                     or declared <= 0 or float(self.get_module(name).shift) != float(declared)):
                 raise ValueError(f"FastH3 checkpoint {key}={declared!r} disagrees with {name}/scheduler_config.json.")
         configured_steps = resolved_config.pipeline.dmd_denoising_steps
-        if configured_steps is not None and list(configured_steps) != steps:
+        if configured_steps is None:
+            raise ValueError("The checkpoint's fastvideo_inference.json declares a DMD schedule but "
+                             "pipeline.dmd_denoising_steps is unset; resolve the config with the checkpoint's "
+                             "model_path so that fill_dmd_schedule_from_checkpoint fills it.")
+        if list(configured_steps) != steps:
             raise ValueError("Explicit DMD schedule disagrees with the checkpoint's trained DMD rungs.")
-        self.resolved_config = resolved_config.with_override("checkpoint:fastvideo_inference.json",
-                                                             {"pipeline.dmd_denoising_steps": list(steps)})
         logger.info("FastH3 checkpoint schedule: %d transformer forwards, DMD rungs=%s, video/audio shifts=%s/%s",
                     len(steps), steps,
                     self.get_module("scheduler").shift,
@@ -412,7 +419,7 @@ class MiniMaxH3BasePipeline(LoRAPipeline, ComposedPipelineBase):
             self._add_denoise_stages(ref2va=ref2va)
 
     def forward(self, batch: ForwardBatch, resolved_config: ResolvedGeneratorConfig) -> ForwardBatch:
-        resolved_config = self._post_init_before_forward(resolved_config)
+        self._post_init_before_forward()
 
         # Sequential encode-then-release is the H3-only fallback. Lazy and the
         # fully-resident discrete-GPU path both keep a complete stage list and
diff --git a/fastvideo/pipelines/basic/stable_audio/stages/latent_preparation.py b/fastvideo/pipelines/basic/stable_audio/stages/latent_preparation.py
index febaa07f8..609a00b2e 100644
--- a/fastvideo/pipelines/basic/stable_audio/stages/latent_preparation.py
+++ b/fastvideo/pipelines/basic/stable_audio/stages/latent_preparation.py
@@ -94,7 +94,7 @@ class StableAudioLatentPreparationStage(PipelineStage):
         have to.
         """
         assert self.vae is not None, "VAE required for init_audio / inpaint_audio encoding"
-        # VAE may be CPU-parked under `vae_cpu_offload=True`.
+        # VAE may be CPU-parked under `engine.offload.vae: true`.
         self.vae = self.vae.to(device)
         if isinstance(audio, str | os.PathLike):
             audio = _decode_audio_file(audio, target_sr=self.sample_rate)
diff --git a/fastvideo/pipelines/composed_pipeline_base.py b/fastvideo/pipelines/composed_pipeline_base.py
index bc7cc132d..7bb3967f1 100644
--- a/fastvideo/pipelines/composed_pipeline_base.py
+++ b/fastvideo/pipelines/composed_pipeline_base.py
@@ -13,11 +13,10 @@ from typing import Any, cast
 
 import torch
 
-from fastvideo.api.device_policy import finalize_device_offload_policy
 from fastvideo.api.inference_resolution import torch_compile_kwargs
 from fastvideo.api.resolution import ResolvedGeneratorConfig, thaw
 from fastvideo.distributed import (
-    get_local_torch_device,
+    get_local_torch_device,  # noqa: F401  # the MiniMax-H3 pipeline reads the device through this module
     get_world_group,
     maybe_init_distributed_environment_and_model_parallel,
 )
@@ -155,16 +154,6 @@ class ComposedPipelineBase(ABC):
         maybe_init_distributed_environment_and_model_parallel(resolved_config.engine.parallelism.tp_size,
                                                               resolved_config.engine.parallelism.sp_size)
 
-        # VideoGenerator applies this in each Worker before building the
-        # pipeline. Keep direct from_pretrained/build_pipeline callers aligned,
-        # but only after distributed setup has selected this process's device.
-        # On a config that the worker already decided, the policy changes nothing.
-        if resolved_config.inference_mode:
-            local_device = get_local_torch_device()
-            device_id = local_device.index if local_device.index is not None else 0
-            resolved_config = finalize_device_offload_policy(resolved_config, device_id)
-            self.resolved_config = resolved_config
-
         # Torch profiler. Enabled and configured through env vars:
         # FASTVIDEO_TORCH_PROFILER_DIR=/path/to/save/trace
         trace_dir = envs.FASTVIDEO_TORCH_PROFILER_DIR.get()
@@ -727,17 +716,10 @@ class ComposedPipelineBase(ABC):
                          stage_name)
             self._install_lazy_release_hooks()
 
-    def _post_init_before_forward(self, resolved_config: ResolvedGeneratorConfig) -> ResolvedGeneratorConfig:
-        """Run ``post_init`` before the first forward, and return the config that the stages read.
-
-        ``post_init`` can rebind ``self.resolved_config`` to an override of it, such as a schedule from the
-        checkpoint. A caller that passed the pipeline's own config then runs with the rebound one.
-        """
-        if self.post_init_called:
-            return resolved_config
-        passed_own_config = resolved_config is self.resolved_config
-        self.post_init()
-        return self.resolved_config if passed_own_config else resolved_config
+    def _post_init_before_forward(self) -> None:
+        """Run ``post_init`` once, before the first forward."""
+        if not self.post_init_called:
+            self.post_init()
 
     # TODO(will): don't hardcode no_grad
     @torch.no_grad()
@@ -755,7 +737,7 @@ class ComposedPipelineBase(ABC):
         Returns:
             ForwardBatch: The batch with the generated video or image.
         """
-        resolved_config = self._post_init_before_forward(resolved_config)
+        self._post_init_before_forward()
 
         # Execute each stage
         logger.info("Running pipeline stages: %s", self._stage_name_mapping.keys())
diff --git a/fastvideo/pipelines/preprocess/matrixgame2/matrixgame2_preprocess_pipeline_ode_trajectory.py b/fastvideo/pipelines/preprocess/matrixgame2/matrixgame2_preprocess_pipeline_ode_trajectory.py
index a5ebeaf1f..7ecc729dc 100644
--- a/fastvideo/pipelines/preprocess/matrixgame2/matrixgame2_preprocess_pipeline_ode_trajectory.py
+++ b/fastvideo/pipelines/preprocess/matrixgame2/matrixgame2_preprocess_pipeline_ode_trajectory.py
@@ -364,7 +364,7 @@ class PreprocessPipeline_MatrixGame2_ODE_Trajectory(BasePreprocessPipeline):
         os.makedirs(self.combined_parquet_dir, exist_ok=True)
 
         # Loading dataset
-        train_dataset = getdataset(preprocess_config)
+        train_dataset = getdataset(preprocess_config, self.model_path)
 
         self.preprocess_dataloader = DataLoader(
             train_dataset,
diff --git a/fastvideo/pipelines/preprocess/preprocess_pipeline_base.py b/fastvideo/pipelines/preprocess/preprocess_pipeline_base.py
index fcefb8f48..90366dfe5 100644
--- a/fastvideo/pipelines/preprocess/preprocess_pipeline_base.py
+++ b/fastvideo/pipelines/preprocess/preprocess_pipeline_base.py
@@ -251,7 +251,7 @@ class BasePreprocessPipeline(ComposedPipelineBase):
                     start_idx += table.num_rows
 
         # Loading dataset
-        train_dataset = getdataset(preprocess_config)
+        train_dataset = getdataset(preprocess_config, self.model_path)
 
         train_dataloader = DataLoader(
             train_dataset,
diff --git a/fastvideo/pipelines/preprocess/preprocess_pipeline_ode_trajectory.py b/fastvideo/pipelines/preprocess/preprocess_pipeline_ode_trajectory.py
index 23cb12059..c0c029415 100644
--- a/fastvideo/pipelines/preprocess/preprocess_pipeline_ode_trajectory.py
+++ b/fastvideo/pipelines/preprocess/preprocess_pipeline_ode_trajectory.py
@@ -259,7 +259,7 @@ class PreprocessPipeline_ODE_Trajectory(BasePreprocessPipeline):
         os.makedirs(self.combined_parquet_dir, exist_ok=True)
 
         # Loading dataset
-        train_dataset = gettextdataset(preprocess_config)
+        train_dataset = gettextdataset(preprocess_config, self.model_path)
 
         self.preprocess_dataloader = DataLoader(
             train_dataset,
diff --git a/fastvideo/pipelines/preprocess/preprocess_pipeline_text.py b/fastvideo/pipelines/preprocess/preprocess_pipeline_text.py
index 73b701e21..0f94b7807 100644
--- a/fastvideo/pipelines/preprocess/preprocess_pipeline_text.py
+++ b/fastvideo/pipelines/preprocess/preprocess_pipeline_text.py
@@ -152,7 +152,7 @@ class PreprocessPipeline_Text(BasePreprocessPipeline):
         os.makedirs(self.combined_parquet_dir, exist_ok=True)
 
         # Loading text dataset
-        train_dataset = gettextdataset(preprocess_config)
+        train_dataset = gettextdataset(preprocess_config, self.model_path)
 
         self.preprocess_dataloader = DataLoader(
             train_dataset,
diff --git a/fastvideo/pipelines/preprocess/v1_preprocess.py b/fastvideo/pipelines/preprocess/v1_preprocess.py
index b44a96c3c..5947ab121 100644
--- a/fastvideo/pipelines/preprocess/v1_preprocess.py
+++ b/fastvideo/pipelines/preprocess/v1_preprocess.py
@@ -12,22 +12,16 @@ from fastvideo.pipelines.preprocess.preprocess_pipeline_text import (PreprocessP
 from fastvideo.pipelines.preprocess.matrixgame2.matrixgame2_preprocess_pipeline import (PreprocessPipeline_MatrixGame2)
 from fastvideo.pipelines.preprocess.matrixgame2.matrixgame2_preprocess_pipeline_ode_trajectory import (
     PreprocessPipeline_MatrixGame2_ODE_Trajectory)
-from fastvideo.utils import maybe_download_model
 
 logger = init_logger(__name__)
 
 
 def main(resolved_config: ResolvedGeneratorConfig) -> None:
-    """Download the model and run the pipeline of ``preprocess.preprocess_task`` on one GPU.
+    """Run the pipeline of ``preprocess.preprocess_task`` on one GPU.
 
-    The local checkpoint directory becomes ``model_path`` and ``preprocess.model_path``, which the pipelines and the
-    dataset tokenizer read.
+    The pipeline downloads the checkpoint of ``model_path`` and keeps the local directory as its ``model_path``, which
+    the dataset tokenizer reads too.
     """
-    model_path = maybe_download_model(resolved_config.model_path)
-    resolved_config = resolved_config.with_override("v1_preprocess.main", {
-        "model_path": model_path,
-        "preprocess.model_path": model_path,
-    })
     maybe_init_distributed_environment_and_model_parallel(1, 1)
     num_gpus = int(os.environ["WORLD_SIZE"])
     assert num_gpus == 1, "Only support 1 GPU"
@@ -61,8 +55,8 @@ def main(resolved_config: ResolvedGeneratorConfig) -> None:
 
     logger.info("Preprocess task: %s using %s", preprocess_task, PreprocessPipeline.__name__)
 
-    pipeline = PreprocessPipeline(model_path, resolved_config)
-    pipeline.forward(batch=None, resolved_config=pipeline.resolved_config)
+    pipeline = PreprocessPipeline(resolved_config.model_path, resolved_config)
+    pipeline.forward(batch=None, resolved_config=resolved_config)
 
 
 if __name__ == "__main__":
diff --git a/fastvideo/pipelines/stages/kandinsky5.py b/fastvideo/pipelines/stages/kandinsky5.py
index c126e2fb7..6065f1ca7 100644
--- a/fastvideo/pipelines/stages/kandinsky5.py
+++ b/fastvideo/pipelines/stages/kandinsky5.py
@@ -248,7 +248,7 @@ class Kandinsky5DenoisingStage(PipelineStage):
         transformer ``ValidationCallback`` reuses from training (whose
         ``engine.precision.dit`` reflects the fp32 master-weight
         load dtype, not the actual bf16 compute dtype) and multi-GPU
-        ``use_fsdp_inference=True`` runs.
+        ``engine.use_fsdp_inference: true`` runs.
 
         For that FSDP case, read the policy itself
         (``set_mixed_precision_policy`` records it right before
diff --git a/fastvideo/tests/api/config_snapshot.py b/fastvideo/tests/api/config_snapshot.py
index 3f9b450e5..92e25e848 100644
--- a/fastvideo/tests/api/config_snapshot.py
+++ b/fastvideo/tests/api/config_snapshot.py
@@ -9,10 +9,8 @@ resolution decisions; a request case records the ``SamplingParam`` and the reque
 - ``yaml``: every repository config file with a ``generator`` section, through ``load_generator_config_from_file`` and
   ``resolve_inference_config``; its ``request`` or ``default_request`` through the ``fastvideo generate`` and
   ``fastvideo serve`` loaders and ``request_to_sampling_param``.
-- ``kwargs``: ``VideoGenerator.from_pretrained`` keywords, through ``from_pretrained_kwargs_to_config`` and the same
-  resolution.
-- ``config``: typed ``GeneratorConfig`` mappings, as ``VideoGenerator.from_config`` receives them, through the same
-  resolution.
+- ``config``: typed ``GeneratorConfig`` mappings, as ``VideoGenerator.from_config`` and
+  ``VideoGenerator.from_pretrained`` receive them, through the same resolution.
 - ``environment``: environment variables that resolution folds into typed fields.
 - ``request``: typed ``GenerationRequest`` values, through ``request_to_sampling_param``.
 
@@ -187,13 +185,17 @@ def snapshot_request(request: Any, model_path: str) -> dict[str, Any]:
 
 @contextlib.contextmanager
 def isolated_environment(env_values: dict[str, Any] | None = None) -> Iterator[None]:
-    """Unset every registered FastVideo environment variable, set ``env_values``, and block model-index downloads.
+    """Unset every registered FastVideo environment variable, set ``env_values``, block model-index downloads, and
+    turn the device policy off.
 
     The registry's ``override`` context managers restore the previous values on exit. Downloads are blocked by
-    replacing ``fastvideo.registry.maybe_download_model_index``, the only network call on the configuration path.
+    replacing ``fastvideo.registry.maybe_download_model_index``, the only network call on the configuration path. The
+    device policy steps are turned off (``device_policy.APPLY_DEVICE_POLICY``) so that a snapshot does not depend on
+    the machine that produced it.
     """
     import fastvideo.envs as envs
     import fastvideo.registry as registry
+    from fastvideo.api import device_policy
 
     def refuse_download(model_path: str, *args: Any, **kwargs: Any) -> dict[str, Any]:
         raise OfflineResolutionError(f"resolving {model_path!r} needs a model_index.json download")
@@ -205,6 +207,9 @@ def isolated_environment(env_values: dict[str, Any] | None = None) -> Iterator[N
         original = registry.maybe_download_model_index
         registry.maybe_download_model_index = refuse_download
         stack.callback(setattr, registry, "maybe_download_model_index", original)
+        apply_policy = device_policy.APPLY_DEVICE_POLICY
+        device_policy.APPLY_DEVICE_POLICY = False
+        stack.callback(setattr, device_policy, "APPLY_DEVICE_POLICY", apply_policy)
         yield
 
 
@@ -249,16 +254,6 @@ def _yaml_request(path: Path) -> Any:
     return build_serve_config(namespace).default_request
 
 
-def _kwargs_case(model_path: str, kwargs: dict[str, Any]) -> Callable[[], dict[str, Any]]:
-
-    def build() -> dict[str, Any]:
-        from fastvideo.api.compat import from_pretrained_kwargs_to_config
-
-        return snapshot_resolved_generator_config(from_pretrained_kwargs_to_config(model_path, kwargs))
-
-    return build
-
-
 def _config_case(raw: dict[str, Any]) -> Callable[[], dict[str, Any]]:
 
     def build() -> dict[str, Any]:
@@ -318,37 +313,46 @@ def collect_cases() -> list[SnapshotCase]:
         SnapshotCase("yaml",
                      path.relative_to(REPO_ROOT).as_posix(), _yaml_case(path)) for path in _repository_config_files()
     ]
-    # One case per kind of branch in from_pretrained_kwargs_to_config: keywords of typed fields and compile sub-keys.
-    kwargs_cases = {
-        "typed_offload_and_parallelism": (WAN_T2V, {
-            "num_gpus": 2,
-            "sp_size": 2,
-            "dit_cpu_offload": False,
-            "vae_cpu_offload": False,
-        }),
-        "torch_compile_kwargs_typed_and_extra": (WAN_T2V, {
-            "enable_torch_compile": True,
-            "torch_compile_kwargs": {
-                "backend": "inductor",
-                "mode": "max-autotune",
-                "fullgraph": True,
-                "options": {
-                    "triton.cudagraphs": False
-                },
-            },
-        }),
-        "disable_autocast": (WAN_T2V, {
-            "disable_autocast": True
-        }),
-    }
-    cases += [
-        SnapshotCase("kwargs", name, _kwargs_case(model, kwargs)) for name, (model, kwargs) in kwargs_cases.items()
-    ]
-    # Typed configs for the settings that only from_config accepts: typed fields, a model-only PipelineConfig
-    # attribute and a key that code reads by name in pipeline.experimental, LTX-2 refine and VAE tile fields, and a
-    # pipeline config JSON path.
+    # Typed configs: engine, offload, parallelism, and compile fields, a model-only PipelineConfig attribute and a key
+    # that code reads by name in pipeline.experimental, LTX-2 refine and VAE tile fields, and a pipeline config JSON
+    # path.
     pipeline_json = str(REPO_ROOT / "fastvideo/configs/fasthunyuan_t2v.json")
     config_cases = {
+        "typed_offload_and_parallelism": {
+            "model_path": WAN_T2V,
+            "engine": {
+                "num_gpus": 2,
+                "parallelism": {
+                    "sp_size": 2
+                },
+                "offload": {
+                    "dit": False,
+                    "vae": False
+                },
+            },
+        },
+        "torch_compile_kwargs_typed_and_extra": {
+            "model_path": WAN_T2V,
+            "engine": {
+                "compile": {
+                    "enabled": True,
+                    "backend": "inductor",
+                    "mode": "max-autotune",
+                    "fullgraph": True,
+                    "extras": {
+                        "options": {
+                            "triton.cudagraphs": False
+                        }
+                    },
+                }
+            },
+        },
+        "disable_autocast": {
+            "model_path": WAN_T2V,
+            "engine": {
+                "disable_autocast": True
+            },
+        },
         "attention_precision_and_flow_shift": {
             "model_path": WAN_T2V,
             "engine": {
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/attention_precision_and_flow_shift.json b/fastvideo/tests/api/config_snapshot_goldens/config/attention_precision_and_flow_shift.json
index 0034f1ea4..869069cbe 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/attention_precision_and_flow_shift.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/attention_precision_and_flow_shift.json
@@ -318,6 +318,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -333,6 +337,7 @@
     "backend": "TORCH_SDPA",
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.5,
     "vsa_tile_size": 256
    },
@@ -421,14 +426,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/boundary_ratio.json b/fastvideo/tests/api/config_snapshot_goldens/config/boundary_ratio.json
index 0c1271ba0..a961ee6f0 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/boundary_ratio.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/boundary_ratio.json
@@ -332,6 +332,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -347,6 +351,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -440,14 +445,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/kwargs/disable_autocast.json b/fastvideo/tests/api/config_snapshot_goldens/config/disable_autocast.json
similarity index 97%
rename from fastvideo/tests/api/config_snapshot_goldens/kwargs/disable_autocast.json
rename to fastvideo/tests/api/config_snapshot_goldens/config/disable_autocast.json
index 3024fd03e..f2b877cd1 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/kwargs/disable_autocast.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/disable_autocast.json
@@ -321,6 +321,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +340,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -424,14 +429,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/experimental_keys.json b/fastvideo/tests/api/config_snapshot_goldens/config/experimental_keys.json
index 397922720..ef49fb4df 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/experimental_keys.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/experimental_keys.json
@@ -321,6 +321,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +340,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -431,14 +436,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_disabled.json b/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_disabled.json
index a7e147fd4..62f5c05aa 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_disabled.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_disabled.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": "",
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_path.json b/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_path.json
index 69c59c336..0f22bc579 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_path.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_refine_lora_path.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": "/checkpoints/refine_lora.safetensors",
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_vae_tile_sizes.json b/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_vae_tile_sizes.json
index 2fa548055..69cc9c2a3 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_vae_tile_sizes.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/ltx2_vae_tile_sizes.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/master_port_refine_enabled_boundary_ratio.json b/fastvideo/tests/api/config_snapshot_goldens/config/master_port_refine_enabled_boundary_ratio.json
index 0507580ac..019154b48 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/master_port_refine_enabled_boundary_ratio.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/master_port_refine_enabled_boundary_ratio.json
@@ -321,6 +321,9 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +339,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -424,14 +428,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
      "enabled": true,
-     "guidance_scale": null,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/pipeline_config_json_path.json b/fastvideo/tests/api/config_snapshot_goldens/config/pipeline_config_json_path.json
index 109b8f0d6..5afd20451 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/pipeline_config_json_path.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/pipeline_config_json_path.json
@@ -349,6 +349,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -364,6 +368,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -453,14 +458,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/kwargs/torch_compile_kwargs_typed_and_extra.json b/fastvideo/tests/api/config_snapshot_goldens/config/torch_compile_kwargs_typed_and_extra.json
similarity index 97%
rename from fastvideo/tests/api/config_snapshot_goldens/kwargs/torch_compile_kwargs_typed_and_extra.json
rename to fastvideo/tests/api/config_snapshot_goldens/config/torch_compile_kwargs_typed_and_extra.json
index d6317c572..40cea3034 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/kwargs/torch_compile_kwargs_typed_and_extra.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/torch_compile_kwargs_typed_and_extra.json
@@ -321,6 +321,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +340,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -428,14 +433,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/kwargs/typed_offload_and_parallelism.json b/fastvideo/tests/api/config_snapshot_goldens/config/typed_offload_and_parallelism.json
similarity index 97%
rename from fastvideo/tests/api/config_snapshot_goldens/kwargs/typed_offload_and_parallelism.json
rename to fastvideo/tests/api/config_snapshot_goldens/config/typed_offload_and_parallelism.json
index 0c4bc50fe..327f9f1ed 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/kwargs/typed_offload_and_parallelism.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/typed_offload_and_parallelism.json
@@ -320,6 +320,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -335,6 +339,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -423,14 +428,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/config/vae_tiling_typed.json b/fastvideo/tests/api/config_snapshot_goldens/config/vae_tiling_typed.json
index 504f1514f..54605cc41 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/config/vae_tiling_typed.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/config/vae_tiling_typed.json
@@ -294,6 +294,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -309,6 +313,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -397,14 +402,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/environment/attention_backend.json b/fastvideo/tests/api/config_snapshot_goldens/environment/attention_backend.json
index 023c6b062..6374444b7 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/environment/attention_backend.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/environment/attention_backend.json
@@ -327,6 +327,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -342,6 +346,7 @@
     "backend": "TORCH_SDPA",
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -430,14 +435,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/environment/explicit_argument_wins_over_attention_backend.json b/fastvideo/tests/api/config_snapshot_goldens/environment/explicit_argument_wins_over_attention_backend.json
index 0961e7c10..1e5f23349 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/environment/explicit_argument_wins_over_attention_backend.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/environment/explicit_argument_wins_over_attention_backend.json
@@ -321,6 +321,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +340,7 @@
     "backend": "FLASH_ATTN",
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -424,14 +429,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/environment/inference_torch_compile.json b/fastvideo/tests/api/config_snapshot_goldens/environment/inference_torch_compile.json
index ec9a588a6..4ce2ead10 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/environment/inference_torch_compile.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/environment/inference_torch_compile.json
@@ -326,6 +326,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -341,6 +345,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -429,14 +434,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/environment/vae_parallel.json b/fastvideo/tests/api/config_snapshot_goldens/environment/vae_parallel.json
index 5c93b8327..a17087131 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/environment/vae_parallel.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/environment/vae_parallel.json
@@ -323,6 +323,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.video_decode_backend": "h3-vae",
@@ -336,6 +340,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -424,14 +429,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Cam-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Cam-Diffusers.json
index 9c45d73cf..dffb6f5a8 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Cam-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Cam-Diffusers.json
@@ -388,6 +388,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -403,6 +407,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -491,14 +496,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Diffusers.json
index c02918a05..6660f0bcc 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__DreamX-World-5B-Diffusers.json
@@ -436,6 +436,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -451,6 +455,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -544,14 +549,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastHunyuan-diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastHunyuan-diffusers.json
index b02828cac..aed9a49d0 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastHunyuan-diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastHunyuan-diffusers.json
@@ -349,6 +349,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -364,6 +368,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -453,14 +458,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-FastH3-8-Step-V2.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-FastH3-8-Step-V2.json
index a2febd6ea..ed78ef9ba 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-FastH3-8-Step-V2.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-FastH3-8-Step-V2.json
@@ -429,6 +429,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -444,6 +448,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -532,14 +537,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-Minimax-FastH3-Preview-v0.2.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-Minimax-FastH3-Preview-v0.2.json
index 43561d37a..9b083fdac 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-Minimax-FastH3-Preview-v0.2.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastVideo-Minimax-FastH3-Preview-v0.2.json
@@ -429,6 +429,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -444,6 +448,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -532,14 +537,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-1.3B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-1.3B-Diffusers.json
index c1903eaa9..493688f30 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-1.3B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-1.3B-Diffusers.json
@@ -330,6 +330,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -345,6 +349,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -437,14 +442,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-14B-480P-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-14B-480P-Diffusers.json
index ca5b98e9b..fd838b585 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-14B-480P-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.1-T2V-14B-480P-Diffusers.json
@@ -330,6 +330,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -345,6 +349,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -437,14 +442,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-Diffusers.json
index 3a0449d16..af80dba75 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-Diffusers.json
@@ -331,6 +331,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -346,6 +350,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -438,14 +443,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-FullAttn-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-FullAttn-Diffusers.json
index ea5a95ce4..012eda106 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-FullAttn-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__FastWan2.2-TI2V-5B-FullAttn-Diffusers.json
@@ -331,6 +331,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -346,6 +350,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -438,14 +443,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__GEN3C-Cosmos-7B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__GEN3C-Cosmos-7B-Diffusers.json
index 2091e2a58..0a669ad86 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__GEN3C-Cosmos-7B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__GEN3C-Cosmos-7B-Diffusers.json
@@ -352,6 +352,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -367,6 +371,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -455,14 +460,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HY-WorldPlay-Bidirectional-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HY-WorldPlay-Bidirectional-Diffusers.json
index 16f95f503..4184182c9 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HY-WorldPlay-Bidirectional-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HY-WorldPlay-Bidirectional-Diffusers.json
@@ -406,6 +406,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -421,6 +425,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -510,14 +515,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HunyuanGameCraft-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HunyuanGameCraft-Diffusers.json
index c0b142562..b87c98eb4 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HunyuanGameCraft-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__HunyuanGameCraft-Diffusers.json
@@ -359,6 +359,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -374,6 +378,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -463,14 +468,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX-2.3-Distilled-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX-2.3-Distilled-Diffusers.json
index e5c451cf2..f4e9473d0 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX-2.3-Distilled-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX-2.3-Distilled-Diffusers.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Diffusers.json
index 045ac0f16..49dc1242e 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Diffusers.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Distilled-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Distilled-Diffusers.json
index 542e8b142..ed65b43e6 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Distilled-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-Distilled-Diffusers.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-base.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-base.json
index 467ea4046..ceff7624c 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-base.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2-base.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Diffusers.json
index 65aa2531d..2b446a479 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Diffusers.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Distilled-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Distilled-Diffusers.json
index 7f137d333..7a0e1dce4 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Distilled-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-Distilled-Diffusers.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-base.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-base.json
index 646d47dbd..2480240c0 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-base.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LTX2.3-base.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-Dense-1.3B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-Dense-1.3B-Diffusers.json
index 881abde1a..e51e5d3e1 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-Dense-1.3B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-Dense-1.3B-Diffusers.json
@@ -328,6 +328,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -343,6 +347,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -431,14 +436,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-MoE-30B-A3B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-MoE-30B-A3B-Diffusers.json
index 959eaa915..bf6fbfede 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-MoE-30B-A3B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-Video-MoE-30B-A3B-Diffusers.json
@@ -328,6 +328,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -343,6 +347,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -431,14 +436,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-World-Base-Cam-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-World-Base-Cam-Diffusers.json
index 3c6cf14e5..611cf9a1f 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-World-Base-Cam-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LingBot-World-Base-Cam-Diffusers.json
@@ -352,6 +352,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -367,6 +371,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -455,14 +460,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-I2V-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-I2V-Diffusers.json
index edd469360..871d41159 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-I2V-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-I2V-Diffusers.json
@@ -320,6 +320,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -335,6 +339,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -423,14 +428,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-T2V-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-T2V-Diffusers.json
index fc705e946..566f4af18 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-T2V-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-T2V-Diffusers.json
@@ -320,6 +320,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -335,6 +339,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -423,14 +428,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-VC-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-VC-Diffusers.json
index aaa0c9b8f..422b13519 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-VC-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__LongCat-Video-VC-Diffusers.json
@@ -320,6 +320,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -335,6 +339,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -423,14 +428,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__MMAudio-large-44k-v2-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__MMAudio-large-44k-v2-Diffusers.json
index 1d05b442f..bd6153dc6 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__MMAudio-large-44k-v2-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__MMAudio-large-44k-v2-Diffusers.json
@@ -348,6 +348,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -363,6 +367,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -451,14 +456,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Diffusers.json
index 2ae3d53ac..85fec65cf 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Diffusers.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Distilled-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Distilled-Diffusers.json
index c5dbffcd5..4dfbd2343 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Distilled-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-Base-Distilled-Diffusers.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Diffusers.json
index 8e465cae2..4f7c18811 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Diffusers.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Distilled-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Distilled-Diffusers.json
index 8c01801e8..ea3c04958 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Distilled-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-GTA-Distilled-Diffusers.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Diffusers.json
index e08371157..21ca3ffe4 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Diffusers.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Distilled-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Distilled-Diffusers.json
index 2470cdf5b..7be07eb3d 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Distilled-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-2.0-TempleRun-Distilled-Diffusers.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-3.0-Base-Distilled-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-3.0-Base-Distilled-Diffusers.json
index e84a971c9..46f85ff19 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-3.0-Base-Distilled-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Matrix-Game-3.0-Base-Distilled-Diffusers.json
@@ -374,6 +374,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -389,6 +393,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -477,14 +482,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__SFWan2.2-I2V-A14B-Preview-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__SFWan2.2-I2V-A14B-Preview-Diffusers.json
index d51f0b9af..fda2025e1 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__SFWan2.2-I2V-A14B-Preview-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__SFWan2.2-I2V-A14B-Preview-Diffusers.json
@@ -341,6 +341,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -356,6 +360,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -453,14 +458,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Wan2.1-VSA-T2V-14B-720P-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Wan2.1-VSA-T2V-14B-720P-Diffusers.json
index f58847010..f69f39243 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Wan2.1-VSA-T2V-14B-720P-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__Wan2.1-VSA-T2V-14B-720P-Diffusers.json
@@ -321,6 +321,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +340,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -424,14 +429,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-1.0-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-1.0-Diffusers.json
index 0fa19ee71..040a27692 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-1.0-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-1.0-Diffusers.json
@@ -176,6 +176,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -191,6 +195,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -277,14 +282,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-small-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-small-Diffusers.json
index f6cb88cb1..a6a88b747 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-small-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/FastVideo__stable-audio-open-small-Diffusers.json
@@ -176,6 +176,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -191,6 +195,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -277,14 +282,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/IRMChen__Wan2.1-Fun-1.3B-Control-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/IRMChen__Wan2.1-Fun-1.3B-Control-Diffusers.json
index 066c69951..5ab398873 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/IRMChen__Wan2.1-Fun-1.3B-Control-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/IRMChen__Wan2.1-Fun-1.3B-Control-Diffusers.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -370,6 +374,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/KyleShao__Cosmos-Predict2.5-2B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/KyleShao__Cosmos-Predict2.5-2B-Diffusers.json
index 10f29036f..97bd7380c 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/KyleShao__Cosmos-Predict2.5-2B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/KyleShao__Cosmos-Predict2.5-2B-Diffusers.json
@@ -317,6 +317,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -332,6 +336,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -420,14 +425,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.3.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.3.json
index 1d44b0348..205d580ac 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.3.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.3.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.json
index 5a15b4c6d..bcfb8ed90 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Lightricks__LTX-2.json
@@ -300,6 +300,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -315,6 +319,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -403,14 +408,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/MiniMaxAI__MiniMax-H3.json b/fastvideo/tests/api/config_snapshot_goldens/registry/MiniMaxAI__MiniMax-H3.json
index ba0d99d61..12036c38b 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/MiniMaxAI__MiniMax-H3.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/MiniMaxAI__MiniMax-H3.json
@@ -429,6 +429,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -444,6 +448,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -532,14 +537,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Tongyi-MAI__Z-Image-Turbo.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Tongyi-MAI__Z-Image-Turbo.json
index 6b064fa6b..3562b819f 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Tongyi-MAI__Z-Image-Turbo.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Tongyi-MAI__Z-Image-Turbo.json
@@ -281,6 +281,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -296,6 +300,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -384,14 +389,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-480P-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-480P-Diffusers.json
index 6a7bb64fa..93dec675d 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-480P-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-480P-Diffusers.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -370,6 +374,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-720P-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-720P-Diffusers.json
index 22cddd381..c0df23ccd 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-720P-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-I2V-14B-720P-Diffusers.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -370,6 +374,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-1.3B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-1.3B-Diffusers.json
index 208dc635c..7ec546182 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-1.3B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-1.3B-Diffusers.json
@@ -321,6 +321,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +340,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -424,14 +429,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-14B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-14B-Diffusers.json
index 01ebf35ce..deab0d45f 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-14B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.1-T2V-14B-Diffusers.json
@@ -321,6 +321,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -336,6 +340,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -424,14 +429,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-I2V-A14B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-I2V-A14B-Diffusers.json
index 966fac4db..cc844423a 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-I2V-A14B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-I2V-A14B-Diffusers.json
@@ -356,6 +356,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -371,6 +375,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -459,14 +464,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-T2V-A14B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-T2V-A14B-Diffusers.json
index 64315414d..85dd28973 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-T2V-A14B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-T2V-A14B-Diffusers.json
@@ -333,6 +333,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -348,6 +352,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -441,14 +446,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-TI2V-5B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-TI2V-5B-Diffusers.json
index 80321a01a..465969dbc 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-TI2V-5B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/Wan-AI__Wan2.2-TI2V-5B-Diffusers.json
@@ -322,6 +322,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -337,6 +341,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -425,14 +430,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.1-dev.json b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.1-dev.json
index 906166db6..86a9f5bdb 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.1-dev.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.1-dev.json
@@ -341,6 +341,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -356,6 +360,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -445,14 +450,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-dev.json b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-dev.json
index 6c1b4d49f..9d40afc9a 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-dev.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-dev.json
@@ -249,6 +249,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -264,6 +268,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -352,14 +357,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-4B.json b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-4B.json
index a589de4d0..6a76c2faf 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-4B.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-4B.json
@@ -286,6 +286,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -301,6 +305,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -389,14 +394,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-9B.json b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-9B.json
index c6480c185..d5cbe5678 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-9B.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/black-forest-labs__FLUX.2-klein-9B.json
@@ -286,6 +286,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -301,6 +305,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -389,14 +394,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-1.1-Dev.json b/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-1.1-Dev.json
index 982a44096..3ffc26329 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-1.1-Dev.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-1.1-Dev.json
@@ -386,6 +386,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -401,6 +405,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -489,14 +494,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-Dev.json b/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-Dev.json
index 5512b8d66..6be7b3131 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-Dev.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/decart-ai__Lucy-Edit-Dev.json
@@ -386,6 +386,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -401,6 +405,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -489,14 +494,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_i2v_step_distilled.json b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_i2v_step_distilled.json
index 403a8016d..c56c41ffd 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_i2v_step_distilled.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_i2v_step_distilled.json
@@ -358,6 +358,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -373,6 +377,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -462,14 +467,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_t2v.json b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_t2v.json
index b9335f0b4..bbbd67877 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_t2v.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-480p_t2v.json
@@ -358,6 +358,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -373,6 +377,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -462,14 +467,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_i2v_distilled.json b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_i2v_distilled.json
index 8f4e5e998..aa1421801 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_i2v_distilled.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_i2v_distilled.json
@@ -358,6 +358,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -373,6 +377,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -462,14 +467,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_t2v.json b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_t2v.json
index 8cdc905d1..319f4e025 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_t2v.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo-1.5-Diffusers-720p_t2v.json
@@ -358,6 +358,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -373,6 +377,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -462,14 +467,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo.json b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo.json
index 6252832a5..b89f5dc24 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/hunyuanvideo-community__HunyuanVideo.json
@@ -349,6 +349,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -364,6 +368,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -453,14 +458,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Lite-5s-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Lite-5s-Diffusers.json
index 24e59d4e5..7fb27721f 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Lite-5s-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Lite-5s-Diffusers.json
@@ -354,6 +354,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -369,6 +373,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-distilled-5s-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-distilled-5s-Diffusers.json
index 7a745ceee..69d5ae039 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-distilled-5s-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-distilled-5s-Diffusers.json
@@ -354,6 +354,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -369,6 +373,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-sft-5s-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-sft-5s-Diffusers.json
index 7d5abb656..1ff540278 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-sft-5s-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-I2V-Pro-sft-5s-Diffusers.json
@@ -354,6 +354,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -369,6 +373,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers.json
index 63b65a3dd..94c7c87c9 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers.json
@@ -354,6 +354,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -369,6 +373,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers.json
index 526910329..22ad48950 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers.json
@@ -354,6 +354,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -369,6 +373,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers.json
index fa39de173..de085a957 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers.json
@@ -354,6 +354,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -369,6 +373,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers.json
index a002e881b..ba5e2dd9f 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/kandinskylab__Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers.json
@@ -354,6 +354,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -369,6 +373,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-1.3B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-1.3B-Diffusers.json
index 70680d01a..71f57bbcb 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-1.3B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-1.3B-Diffusers.json
@@ -320,6 +320,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -335,6 +339,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -423,14 +428,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-14B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-14B-Diffusers.json
index 29dce7714..bcd9138de 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-14B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.1-T2V-14B-Diffusers.json
@@ -320,6 +320,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -335,6 +339,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -423,14 +428,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.2-I2V-A14B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.2-I2V-A14B-Diffusers.json
index 961666ad5..2b719bd82 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.2-I2V-A14B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/loayrashid__TurboWan2.2-I2V-A14B-Diffusers.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -370,6 +374,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_bidirectional_zelda.json b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_bidirectional_zelda.json
index 88b4c8302..b52fabf0a 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_bidirectional_zelda.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_bidirectional_zelda.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_causal_zelda.json b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_causal_zelda.json
index e5bf63cf3..f7c95eaa2 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_causal_zelda.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_causal_zelda.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_longtuning_distilled_zelda.json b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_longtuning_distilled_zelda.json
index 7bf39331c..1e515289a 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_longtuning_distilled_zelda.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_longtuning_distilled_zelda.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda.json b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda.json
index 312d82193..83a4b929c 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda_1k_steps.json b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda_1k_steps.json
index 637e6e81a..05b1886b3 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda_1k_steps.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/mignonjia__mg_sf_distilled_zelda_1k_steps.json
@@ -415,6 +415,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -430,6 +434,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -522,14 +527,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2-2B-Video2World.json b/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2-2B-Video2World.json
index 3ac3dc945..929869c18 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2-2B-Video2World.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2-2B-Video2World.json
@@ -324,6 +324,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -339,6 +343,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -427,14 +432,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2.5-14B.json b/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2.5-14B.json
index 9d23f6898..1fc254a83 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2.5-14B.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/nvidia__Cosmos-Predict2.5-14B.json
@@ -317,6 +317,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -332,6 +336,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -420,14 +425,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/rand0nmr__SFWan2.2-T2V-A14B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/rand0nmr__SFWan2.2-T2V-A14B-Diffusers.json
index 94e567d11..161db9c7f 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/rand0nmr__SFWan2.2-T2V-A14B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/rand0nmr__SFWan2.2-T2V-A14B-Diffusers.json
@@ -341,6 +341,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -356,6 +360,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -453,14 +458,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/robbyant__lingbot-world-v2-14b-causal-fast.json b/fastvideo/tests/api/config_snapshot_goldens/registry/robbyant__lingbot-world-v2-14b-causal-fast.json
index 809676afe..46498e45a 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/robbyant__lingbot-world-v2-14b-causal-fast.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/robbyant__lingbot-world-v2-14b-causal-fast.json
@@ -331,6 +331,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -346,6 +350,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -434,14 +439,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/stabilityai__stable-diffusion-3.5-medium.json b/fastvideo/tests/api/config_snapshot_goldens/registry/stabilityai__stable-diffusion-3.5-medium.json
index e0e410858..056ad8573 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/stabilityai__stable-diffusion-3.5-medium.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/stabilityai__stable-diffusion-3.5-medium.json
@@ -424,6 +424,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -439,6 +443,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -529,14 +534,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p-2SR.json b/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p-2SR.json
index 8e405d214..d916c6e97 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p-2SR.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p-2SR.json
@@ -379,6 +379,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -394,6 +398,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -483,14 +488,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p.json b/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p.json
index b2d7b807e..3a4094931 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__HunyuanVideo-1.5-Diffusers-1080p.json
@@ -379,6 +379,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -394,6 +398,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -483,14 +488,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__Wan2.1-Fun-1.3B-InP-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__Wan2.1-Fun-1.3B-InP-Diffusers.json
index 5edc39991..be88f6bff 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__Wan2.1-Fun-1.3B-InP-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/weizhou03__Wan2.1-Fun-1.3B-InP-Diffusers.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -370,6 +374,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -458,14 +463,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/wlsaidhi__SFWan2.1-T2V-1.3B-Diffusers.json b/fastvideo/tests/api/config_snapshot_goldens/registry/wlsaidhi__SFWan2.1-T2V-1.3B-Diffusers.json
index adbc5c742..bc63b1bf6 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/wlsaidhi__SFWan2.1-T2V-1.3B-Diffusers.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/wlsaidhi__SFWan2.1-T2V-1.3B-Diffusers.json
@@ -332,6 +332,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -347,6 +351,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -440,14 +445,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/registry/zai-org__GLM-Image.json b/fastvideo/tests/api/config_snapshot_goldens/registry/zai-org__GLM-Image.json
index 33806d453..3463821c3 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/registry/zai-org__GLM-Image.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/registry/zai-org__GLM-Image.json
@@ -310,6 +310,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -325,6 +329,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -413,14 +418,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/apps__dreamverse__serve_configs__streaming_demo.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/apps__dreamverse__serve_configs__streaming_demo.yaml.json
index 50d8ec181..ffcc68dcf 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/apps__dreamverse__serve_configs__streaming_demo.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/apps__dreamverse__serve_configs__streaming_demo.yaml.json
@@ -332,6 +332,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1024x1536.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1024x1536.yaml.json
index d234fc488..c414cf164 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1024x1536.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1024x1536.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1280x832.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1280x832.yaml.json
index 14687404c..6cf9e820b 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1280x832.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_1280x832.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_512x768.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_512x768.yaml.json
index 26b44f2fd..6b452ac62 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_512x768.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_512x768.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_768x1280.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_768x1280.yaml.json
index 3e9a96c74..1aa0cfff6 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_768x1280.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_5s2_768x1280.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1024x1536.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1024x1536.yaml.json
index e488c0900..a29edc88a 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1024x1536.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1024x1536.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1280x832.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1280x832.yaml.json
index f95532959..35dce8891 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1280x832.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_1280x832.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_512x768.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_512x768.yaml.json
index bbeee04bd..3bdf1e62e 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_512x768.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_512x768.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_768x1280.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_768x1280.yaml.json
index c33d20319..438db02c0 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_768x1280.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__i2v_8s3_768x1280.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1024x1536.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1024x1536.yaml.json
index c2fe17b64..a2421e7ab 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1024x1536.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1024x1536.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1280x832.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1280x832.yaml.json
index 4dfbd800a..79ebe7d9b 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1280x832.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_1280x832.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_512x768.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_512x768.yaml.json
index 2436c2b2d..ab6a29ad5 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_512x768.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_512x768.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_768x1280.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_768x1280.yaml.json
index 0826a2c9c..3e099b4fc 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_768x1280.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_5s2_768x1280.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1024x1536.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1024x1536.yaml.json
index d73d1384d..b326307d0 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1024x1536.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1024x1536.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1280x832.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1280x832.yaml.json
index 8f66b0e9b..0c1f6145b 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1280x832.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_1280x832.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_512x768.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_512x768.yaml.json
index b9f2fccd1..412fc02bf 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_512x768.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_512x768.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_768x1280.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_768x1280.yaml.json
index 365c199ce..18f1ff7bb 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_768x1280.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__inference__ltx2_3__t2v_8s3_768x1280.yaml.json
@@ -334,6 +334,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3.yaml.json
index 13446a56b..e0bcba996 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3.yaml.json
@@ -427,6 +427,10 @@
     "engine.compile.audio_vae_enabled": false,
     "engine.compile.text_encoder_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_encode": false,
@@ -440,6 +444,7 @@
     "backend": "VIDEO_SPARSE_ATTN_H3",
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.9,
     "vsa_tile_size": 64
    },
@@ -528,14 +533,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_8step.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_8step.yaml.json
index ee9de467c..8aa74e152 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_8step.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_8step.yaml.json
@@ -427,6 +427,10 @@
     "engine.compile.audio_vae_enabled": false,
     "engine.compile.text_encoder_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_encode": false,
@@ -440,6 +444,7 @@
     "backend": "VIDEO_SPARSE_ATTN_H3",
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.8,
     "vsa_tile_size": 64
    },
@@ -528,14 +533,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_lora.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_lora.yaml.json
index 31797eadb..dc4b42289 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_lora.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fasth3_lora.yaml.json
@@ -429,6 +429,10 @@
     "engine.compile.audio_vae_enabled": false,
     "engine.compile.text_encoder_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_encode": false,
@@ -442,6 +446,7 @@
     "backend": "FLASH_ATTN",
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -530,14 +535,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fastwan21_1_3b.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fastwan21_1_3b.yaml.json
index fbab8de3b..fca1fb729 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fastwan21_1_3b.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_fastwan21_1_3b.yaml.json
@@ -333,6 +333,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -348,6 +352,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.8,
     "vsa_tile_size": 256
    },
@@ -440,14 +445,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan21_i2v_14b.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan21_i2v_14b.yaml.json
index ee854032f..677d029cb 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan21_i2v_14b.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan21_i2v_14b.yaml.json
@@ -362,6 +362,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -376,6 +380,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -464,14 +469,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_t2v_a14b.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_t2v_a14b.yaml.json
index d69de2a97..5b9e0ddc7 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_t2v_a14b.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_t2v_a14b.yaml.json
@@ -345,6 +345,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -360,6 +364,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -453,14 +458,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_ti2v_5b.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_ti2v_5b.yaml.json
index 8e3bd0e1c..ae324b2ec 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_ti2v_5b.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__openai_wan22_ti2v_5b.yaml.json
@@ -333,6 +333,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -348,6 +352,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -436,14 +441,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__streaming_demo.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__streaming_demo.yaml.json
index 50d8ec181..ffcc68dcf 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__streaming_demo.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/examples__serving__streaming_demo.yaml.json
@@ -332,6 +332,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_fasthunyuan.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_fasthunyuan.yaml.json
index 1db667365..d7a95be4f 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_fasthunyuan.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_fasthunyuan.yaml.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -370,6 +374,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -459,14 +464,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_flux2_klein.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_flux2_klein.yaml.json
index 1d4f9f46f..02e9c04d8 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_flux2_klein.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_flux2_klein.yaml.json
@@ -297,6 +297,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -311,6 +315,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -399,14 +404,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_hunyuan.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_hunyuan.yaml.json
index 83fae4dd2..89dbe1d70 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_hunyuan.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_hunyuan.yaml.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -370,6 +374,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -459,14 +464,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat.yaml.json
index 5b7759b51..2a379d447 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat.yaml.json
@@ -327,6 +327,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -342,6 +346,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -430,14 +435,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_distill.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_distill.yaml.json
index 5e0e31a72..e037ff0da 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_distill.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_distill.yaml.json
@@ -327,6 +327,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -342,6 +346,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -430,14 +435,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_i2v.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_i2v.yaml.json
index b92b7033a..48a585a33 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_i2v.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_i2v.yaml.json
@@ -327,6 +327,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -341,6 +345,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -429,14 +434,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_refine_fromvideo.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_refine_fromvideo.yaml.json
index c9829f3ff..58f2618db 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_refine_fromvideo.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_refine_fromvideo.yaml.json
@@ -336,6 +336,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -351,6 +355,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -447,14 +452,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_vc.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_vc.yaml.json
index 4c86455e4..c66037170 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_vc.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_longcat_vc.yaml.json
@@ -327,6 +327,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -342,6 +346,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -430,14 +435,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan.yaml.json
index 4c29997fc..9e680c3f8 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan.yaml.json
@@ -328,6 +328,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -343,6 +347,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -431,14 +436,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_1.3B_VMoba.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_1.3B_VMoba.yaml.json
index 0b1c1bbdf..ec8622dc4 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_1.3B_VMoba.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_1.3B_VMoba.yaml.json
@@ -355,6 +355,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -392,6 +396,7 @@
      "temporal_topk": 3
     },
     "moba_config_path": "fastvideo/configs/backend/vmoba/wan_1.3B_77_480_832.json",
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -480,14 +485,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA.yaml.json
index dc2b1d906..e7b302bba 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA.yaml.json
@@ -327,6 +327,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -342,6 +346,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.9,
     "vsa_tile_size": 256
    },
@@ -430,14 +435,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_480P.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_480P.yaml.json
index 8b3b30303..9d7bcbcf8 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_480P.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_480P.yaml.json
@@ -333,6 +333,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -348,6 +352,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.9,
     "vsa_tile_size": 256
    },
@@ -440,14 +445,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_720P.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_720P.yaml.json
index 4ca024395..b9d13e5ce 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_720P.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_14B_720P.yaml.json
@@ -333,6 +333,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -348,6 +352,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.9,
     "vsa_tile_size": 256
    },
@@ -440,14 +445,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_1_3B.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_1_3B.yaml.json
index 6606d5dfa..6edbb77a5 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_1_3B.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_1_3B.yaml.json
@@ -333,6 +333,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -348,6 +352,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.8,
     "vsa_tile_size": 256
    },
@@ -440,14 +445,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_5B_720P.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_5B_720P.yaml.json
index 68a5e8e1b..13974826e 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_5B_720P.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_VSA_DMD_5B_720P.yaml.json
@@ -335,6 +335,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -350,6 +354,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -442,14 +447,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_i2v.yaml.json b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_i2v.yaml.json
index b835a35f4..97c5a1a32 100644
--- a/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_i2v.yaml.json
+++ b/fastvideo/tests/api/config_snapshot_goldens/yaml/scripts__inference__inference_wan_i2v.yaml.json
@@ -362,6 +362,10 @@
     "engine.compile.text_encoder_enabled": false,
     "engine.compile.vae_enabled": false,
     "pipeline.ltx2.legacy_native_noise_order": false,
+    "pipeline.ltx2.refine.add_noise": true,
+    "pipeline.ltx2.refine.enabled": false,
+    "pipeline.ltx2.refine.guidance_scale": 1.0,
+    "pipeline.ltx2.refine.num_inference_steps": 3,
     "pipeline.ltx2.use_distilled_sigmas": true,
     "pipeline.minimax_h3.taeh3_chunk_size": 5,
     "pipeline.minimax_h3.vae_parallel_decode": false,
@@ -376,6 +380,7 @@
     "backend": null,
     "moba_config": {},
     "moba_config_path": null,
+    "nvfp4_fa4": false,
     "vsa_sparsity": 0.0,
     "vsa_tile_size": 256
    },
@@ -464,14 +469,14 @@
     "initial_latent_path": null,
     "legacy_native_noise_order": false,
     "refine": {
-     "add_noise": null,
+     "add_noise": true,
      "audio_noise_path": null,
-     "enabled": null,
-     "guidance_scale": null,
+     "enabled": false,
+     "guidance_scale": 1.0,
      "image_crf": null,
      "lora_path": null,
      "noise_path": null,
-     "num_inference_steps": null,
+     "num_inference_steps": 3,
      "transformer_path": null,
      "video_position_offset_sec": null
     },
diff --git a/fastvideo/tests/api/test_compat_translation.py b/fastvideo/tests/api/test_compat_translation.py
index 5eafffb38..4e66cbe06 100644
--- a/fastvideo/tests/api/test_compat_translation.py
+++ b/fastvideo/tests/api/test_compat_translation.py
@@ -1,52 +1,16 @@
 # SPDX-License-Identifier: Apache-2.0
-"""Tests for the ``fastvideo.api.compat`` keyword and request helpers, and
-for how resolution carries the typed CompileConfig and
-PipelineSelection.vae_tiling surfaces promoted in PR 6.
+"""Tests for the ``fastvideo.api.compat`` request helpers, and for how resolution carries the typed CompileConfig
+and PipelineSelection.vae_tiling surfaces.
 """
 from __future__ import annotations
 
-import pytest
-
-from fastvideo.api.compat import (
-    FROM_PRETRAINED_KWARGS,
-    _FROM_PRETRAINED_FIELDS,
-    from_pretrained_kwargs_to_config,
-    request_to_sampling_param,
-)
+from fastvideo.api.compat import request_to_sampling_param
 from fastvideo.api.inference_resolution import resolve_inference_config, torch_compile_kwargs
 from fastvideo.api.parser import parse_config
 from fastvideo.api.schema import CompileConfig, GenerationRequest, GeneratorConfig
 from fastvideo.api.sampling_param import SamplingParam
 
 
-class TestFromPretrainedKwargsTranslation:
-    """The ``from_pretrained`` keyword ``torch_compile_kwargs={...}`` gets
-    split across the four first-class :class:`CompileConfig` fields and
-    anything unknown falls into ``extras``. Keywords outside the
-    ``from_pretrained`` set are rejected."""
-
-    def test_empty_kwargs_produces_empty_extras(self) -> None:
-        config = from_pretrained_kwargs_to_config(
-            "/models/ltx2",
-            {"torch_compile_kwargs": {}},
-        )
-        compile_config = config.engine.compile
-        assert compile_config.extras == {}
-        assert compile_config.backend is None
-
-    def test_other_keyword_points_to_from_config(self) -> None:
-        with pytest.raises(TypeError, match=r"does not accept ltx2_vae_tiling\. It accepts only these keywords: "
-                           r"(.|\n)*VideoGenerator\.from_config"):
-            from_pretrained_kwargs_to_config("/models/ltx2", {"ltx2_vae_tiling": True})
-
-    def test_keyword_fields_are_the_from_pretrained_keywords(self) -> None:
-        """Every keyword with a schema field sets one field; ``torch_compile_kwargs`` and ``nvfp4_fa4`` have none."""
-        assert set(_FROM_PRETRAINED_FIELDS) == FROM_PRETRAINED_KWARGS - {"torch_compile_kwargs", "nvfp4_fa4"}
-        assert len(set(_FROM_PRETRAINED_FIELDS.values())) == len(_FROM_PRETRAINED_FIELDS)
-        config = from_pretrained_kwargs_to_config("/models/wan", {"dit_cpu_offload": False, "sp_size": 2})
-        assert config.engine.offload.dit is False and config.engine.parallelism.sp_size == 2
-
-
 class TestCompileConfigRoundTrip:
     """typed CompileConfig -> ``torch_compile_kwargs(resolved_config)``
     reconstruction drops ``None`` typed fields and merges ``extras``."""
diff --git a/fastvideo/tests/api/test_inference_resolution_steps.py b/fastvideo/tests/api/test_inference_resolution_steps.py
index a3e108a0e..b7f6a7893 100644
--- a/fastvideo/tests/api/test_inference_resolution_steps.py
+++ b/fastvideo/tests/api/test_inference_resolution_steps.py
@@ -110,16 +110,23 @@ def test_environment_takes_precedence_over_model_defaults():
         "fill_vae_parallel_from_env",
         "fill_pipeline_config_defaults[WanT2V480PConfig]",
         "copy_refine_preset_overrides",
+        "fill_ltx2_refine_from_checkpoint",
+        "fill_dmd_schedule_from_checkpoint",
         "derive_parallel_sizes",
         "derive_vae_tiling_from_ltx2_tile_sizes",
         "fill_vae_tiling_default[WanT2V480PConfig]",
         "load_moba_config",
+        "apply_unified_memory_offload_policy",
+        "fill_lazy_module_load",
+        "apply_mps_offload_policy",
+        "apply_layerwise_offload_conflicts",
         "validate_unsupported_fields",
         "validate_experimental_keys",
         "validate_lora_strength",
         "validate_attention_backend",
         "validate_vae_parallel_decode_strategy",
         "warn_deprecated_environment_variables",
+        "apply_nvfp4_fa4_env",
         "validate_parallel_sizes",
         "derive_num_gpus_from_parallel_sizes",
         "fill_runtime_defaults",
diff --git a/fastvideo/tests/api/test_ltx2_gpu_pool_translation.py b/fastvideo/tests/api/test_ltx2_gpu_pool_translation.py
index 15007acd0..20ea7ee53 100644
--- a/fastvideo/tests/api/test_ltx2_gpu_pool_translation.py
+++ b/fastvideo/tests/api/test_ltx2_gpu_pool_translation.py
@@ -9,7 +9,7 @@ from __future__ import annotations
 
 import pytest
 
-from fastvideo.api.compat import from_pretrained_kwargs_to_config
+from fastvideo.api.compat import normalize_generator_config
 from fastvideo.api.inference_resolution import resolve_inference_config, torch_compile_kwargs
 from fastvideo.tests.api.config_snapshot import isolated_environment
 
@@ -144,17 +144,21 @@ class TestCompileExtrasPreserved:
     round-trip through ``CompileConfig.extras``."""
 
     def test_extras_preserved(self) -> None:
-        kwargs = {
-            "enable_torch_compile": True,
-            "torch_compile_kwargs": {
-                "backend": "inductor",
-                "options": {
-                    "triton.cudagraphs": False
-                },
-                "disable": False,
+        config = normalize_generator_config({
+            "model_path": "FastVideo/LTX2-Distilled-Diffusers",
+            "engine": {
+                "compile": {
+                    "enabled": True,
+                    "backend": "inductor",
+                    "extras": {
+                        "options": {
+                            "triton.cudagraphs": False
+                        },
+                        "disable": False,
+                    },
+                }
             },
-        }
-        config = from_pretrained_kwargs_to_config("FastVideo/LTX2-Distilled-Diffusers", kwargs)
+        })
         assert config.engine.compile.backend == "inductor"
         assert config.engine.compile.extras == {
             "options": {
diff --git a/fastvideo/tests/api/test_parser.py b/fastvideo/tests/api/test_parser.py
index 854df3743..be34ae502 100644
--- a/fastvideo/tests/api/test_parser.py
+++ b/fastvideo/tests/api/test_parser.py
@@ -140,6 +140,7 @@ def test_load_run_config_supports_yaml_roundtrip(tmp_path) -> None:
                     "vsa_tile_size": None,
                     "moba_config_path": None,
                     "moba_config": None,
+                    "nvfp4_fa4": False,
                 },
                 "precision": {
                     "dit": None,
diff --git a/fastvideo/tests/api/test_resolved_runtime_config.py b/fastvideo/tests/api/test_resolved_runtime_config.py
index bc5fe59a8..68d0438cf 100644
--- a/fastvideo/tests/api/test_resolved_runtime_config.py
+++ b/fastvideo/tests/api/test_resolved_runtime_config.py
@@ -6,6 +6,7 @@ import json
 import pickle
 from contextlib import nullcontext
 from types import SimpleNamespace
+from unittest.mock import patch
 
 import pytest
 import torch
@@ -20,8 +21,6 @@ from fastvideo.api.training_schema import (PreprocessRunConfig, TrainingRunConfi
 from fastvideo.tests.api.config_snapshot import isolated_environment
 
 WAN_T2V = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
-LTX2 = "FastVideo/LTX2-Distilled-Diffusers"
-FASTH3 = "FastVideo/FastVideo-FastH3-8-Step-V2"
 
 
 def _resolve(raw, env_values=None):
@@ -29,6 +28,12 @@ def _resolve(raw, env_values=None):
         return resolve_inference_config(raw)
 
 
+def _resolve_with_device_policy(raw):
+    """Resolve inside the isolation with the device-policy steps on, which the isolation turns off like downloads."""
+    with isolated_environment(), patch.object(device_policy, "APPLY_DEVICE_POLICY", True):
+        return resolve_inference_config(raw)
+
+
 def test_resolution_builds_and_freezes_the_pipeline_config_once(monkeypatch):
     from fastvideo.configs.pipelines.base import PipelineConfig
 
@@ -100,46 +105,56 @@ def test_override_of_a_typed_home_leaves_the_pipeline_config_unchanged():
     assert overridden.provenance("pipeline.dmd_denoising_steps").source == "checkpoint:test"
 
 
-def test_unified_memory_policy_returns_recorded_overrides_once(monkeypatch):
-    resolved = _resolve({"model_path": WAN_T2V, "engine": {"offload": {"dit_layerwise": False}}})
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: device_id == 1)
+def test_unified_memory_policy_is_decided_during_resolution(monkeypatch):
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: True)
     monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
     monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
 
-    decided = device_policy.finalize_device_offload_policy(resolved, 1)
-    again = device_policy.finalize_device_offload_policy(decided, 1)
+    resolved = _resolve_with_device_policy({"model_path": WAN_T2V, "engine": {"offload": {"dit_layerwise": False}}})
 
-    assert [source for source, _ in decided.override_log] == [
-        "device_policy:unified_memory",
-        "device_policy:lazy_module_load",
+    device_decisions = [(source, values) for source, values in resolved.decisions
+                        if source in ("apply_unified_memory_offload_policy", "fill_lazy_module_load")]
+    assert device_decisions == [
+        ("apply_unified_memory_offload_policy", {
+            "engine.offload.dit": False,
+            "engine.offload.text_encoder": False,
+            "engine.offload.image_encoder": False,
+            "engine.offload.vae": False,
+        }),
+        ("fill_lazy_module_load", {
+            "engine.offload.lazy_module_load": True
+        }),
     ]
-    assert decided.override_log[0][1] == {
+    assert resolved.engine.offload.lazy_module_load is True and resolved.engine.offload.dit is False
+    assert resolved.override_log == ()
+    assert resolved.provenance("engine.offload.dit").raw_value is True
+
+
+def test_discrete_device_leaves_offload_requests_and_turns_lazy_module_load_off(monkeypatch):
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: False)
+    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
+
+    resolved = _resolve_with_device_policy({"model_path": WAN_T2V, "engine": {"offload": {"dit_layerwise": False}}})
+
+    assert resolved.engine.offload.dit is True and resolved.engine.offload.text_encoder is True
+    assert resolved.engine.offload.lazy_module_load is False
+    assert resolved.provenance("engine.offload.lazy_module_load").source == "fill_lazy_module_load"
+
+
+def test_layerwise_offload_turns_off_conflicting_modes(monkeypatch):
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: False)
+    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
+
+    resolved = _resolve_with_device_policy({"model_path": WAN_T2V, "engine": {"use_fsdp_inference": True}})
+
+    assert [values for source, values in resolved.decisions if source == "apply_layerwise_offload_conflicts"] == [{
+        "engine.use_fsdp_inference": False,
         "engine.offload.dit": False,
-        "engine.offload.text_encoder": False,
-        "engine.offload.image_encoder": False,
-        "engine.offload.vae": False,
-    }
-    assert decided.engine.offload.lazy_module_load is True and decided.engine.offload.dit is False
-    assert again.override_log == decided.override_log
-    assert resolved.override_log == () and resolved.engine.offload.dit is True
-    assert device_policy.offload_disabled_on_unified_memory(1, "text_encoder_cpu_offload")
-    assert not device_policy.offload_disabled_on_unified_memory(0, "text_encoder_cpu_offload")
-    assert device_policy.finalize_device_offload_policy(resolved, 0).engine.offload.lazy_module_load is False
-
-
-def test_layerwise_offload_turns_off_conflicting_modes():
-    resolved = _resolve({"model_path": WAN_T2V, "engine": {"use_fsdp_inference": True}})
-
-    decided = device_policy.resolve_device_offload_conflicts(resolved)
-
-    assert [values for _, values in decided.override_log] == [{
-        "engine.use_fsdp_inference": False
-    }, {
-        "engine.offload.dit": False
     }]
+    assert resolved.engine.use_fsdp_inference is False and resolved.engine.offload.dit is False
 
 
-def test_direct_pipeline_keeps_the_policy_result_of_a_resolved_config(monkeypatch):
+def test_direct_pipeline_keeps_the_resolved_config(monkeypatch):
     import fastvideo.pipelines.composed_pipeline_base as composed_pipeline_base
     from fastvideo.pipelines.composed_pipeline_base import ComposedPipelineBase
 
@@ -159,14 +174,14 @@ def test_direct_pipeline_keeps_the_policy_result_of_a_resolved_config(monkeypatc
     monkeypatch.setattr(composed_pipeline_base, "get_world_group", lambda: SimpleNamespace(local_rank=2))
     monkeypatch.setattr(composed_pipeline_base, "get_or_create_profiler", lambda trace_dir: profiler)
     monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: True)
+    monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
     monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
-    resolved = _resolve({"model_path": WAN_T2V})
+    resolved = _resolve_with_device_policy({"model_path": WAN_T2V})
 
     pipeline = _Pipeline("unused", resolved, required_config_modules=[])
 
-    assert pipeline.resolved_config is pipeline.loaded_with
-    assert pipeline.resolved_config.engine.offload.lazy_module_load is True
-    assert resolved.engine.offload.lazy_module_load is None
+    assert pipeline.resolved_config is resolved and pipeline.loaded_with is resolved
+    assert resolved.engine.offload.lazy_module_load is True
 
 
 def test_pipeline_records_component_paths_and_shares_its_component_state(monkeypatch, tmp_path):
@@ -255,40 +270,41 @@ def test_training_resolution_keeps_the_dit_on_the_device():
     assert built["resolved_config"] is resolved
 
 
-def test_ltx2_checkpoint_refine_defaults_rebind_the_pipeline_config(tmp_path):
-    from fastvideo.pipelines.basic.ltx2.ltx2_pipeline import LTX2Pipeline
+def test_ltx2_checkpoint_refine_defaults_are_resolved_from_a_local_checkpoint(tmp_path):
+    (tmp_path / "transformer").mkdir()
+    (tmp_path / "model_index.json").write_text(
+        json.dumps({
+            "_class_name": "LTX2Pipeline",
+            "_diffusers_version": "0",
+            "transformer": ["diffusers", "Model"],
+            "fastvideo_refine_lora_path": "FastVideo/LTX2-Distilled-LoRA",
+            "fastvideo_refine_num_inference_steps": 2,
+        }))
 
-    resolved = _resolve({"model_path": LTX2})
-    pipeline = object.__new__(LTX2Pipeline)
-    pipeline.model_path = str(tmp_path)
-    pipeline.resolved_config = resolved
-    pipeline._required_config_modules = list(LTX2Pipeline._required_config_modules)
-    model_index = {name: ["diffusers", "Model"] for name in pipeline._required_config_modules}
-    pipeline._load_config = lambda model_path: {
-        "_class_name": "LTX2Pipeline",
-        "_diffusers_version": "0",
-        "fastvideo_refine_lora_path": "FastVideo/LTX2-Distilled-LoRA",
-        "fastvideo_refine_num_inference_steps": 2,
-        **model_index,
-    }
+    from fastvideo.pipelines.basic.ltx2.pipeline_configs import LTX2T2VConfig
 
-    pipeline.load_modules(resolved, {name: object() for name in model_index})
+    resolved = _resolve({
+        "model_path": str(tmp_path),
+        "pipeline": {
+            "experimental": {
+                "pipeline_config": LTX2T2VConfig()
+            }
+        }
+    })
 
-    rebound = pipeline.resolved_config
-    assert rebound is not resolved
-    assert rebound.override_log == (("checkpoint:model_index.json", {
+    refine_decisions = [values for source, values in resolved.decisions if source == "fill_ltx2_refine_from_checkpoint"]
+    assert refine_decisions == [{
         "pipeline.ltx2.refine.lora_path": "FastVideo/LTX2-Distilled-LoRA",
         "pipeline.ltx2.refine.num_inference_steps": 2,
-        "pipeline.ltx2.refine.enabled": False,
-        "pipeline.ltx2.refine.add_noise": True,
-        "pipeline.ltx2.refine.guidance_scale": 1.0,
-    }), )
-    assert rebound.pipeline.ltx2.refine.lora_path == "FastVideo/LTX2-Distilled-LoRA"
-    assert rebound.pipeline.ltx2.refine.num_inference_steps == 2
-    assert resolved.pipeline.ltx2.refine.num_inference_steps is None
+    }]
+    refine = resolved.pipeline.ltx2.refine
+    assert (refine.lora_path, refine.num_inference_steps) == ("FastVideo/LTX2-Distilled-LoRA", 2)
+    assert (refine.enabled, refine.add_noise, refine.guidance_scale) == (False, True, 1.0)
+    assert resolved.provenance("pipeline.ltx2.refine.enabled").source == "fill_runtime_defaults"
 
 
-def test_minimax_h3_checkpoint_schedule_rebinds_and_reaches_the_first_forward(tmp_path, monkeypatch):
+def test_minimax_h3_checkpoint_schedule_is_resolved_and_reaches_the_first_forward(tmp_path, monkeypatch):
+    from fastvideo.configs.pipelines.minimax_h3 import MiniMaxH3PipelineConfig
     from fastvideo.models.schedulers.scheduling_minimax_h3 import MiniMaxH3Scheduler
     from fastvideo.pipelines.basic.minimax_h3.minimax_h3_pipeline import MiniMaxH3ModularPipeline
     from fastvideo.pipelines.composed_pipeline_base import ComposedPipelineBase
@@ -301,7 +317,24 @@ def test_minimax_h3_checkpoint_schedule_rebinds_and_reaches_the_first_forward(tm
             "num_inference_steps": 9,
             "transformer_forwards": 8,
         }))
-    resolved = _resolve({"model_path": FASTH3})
+    (tmp_path / "transformer").mkdir()
+    (tmp_path / "model_index.json").write_text(
+        json.dumps({
+            "_class_name": "MiniMaxH3ModularPipeline",
+            "_diffusers_version": "0",
+            "transformer": ["diffusers", "Model"],
+        }))
+    resolved = _resolve({
+        "model_path": str(tmp_path),
+        "pipeline": {
+            "experimental": {
+                "pipeline_config": MiniMaxH3PipelineConfig()
+            }
+        }
+    })
+    assert resolved.pipeline.dmd_denoising_steps == tuple(steps)
+    assert resolved.provenance("pipeline.dmd_denoising_steps").source == "fill_dmd_schedule_from_checkpoint"
+
     pipeline = object.__new__(MiniMaxH3ModularPipeline)
     pipeline.model_path = str(tmp_path)
     pipeline.resolved_config = resolved
@@ -309,7 +342,7 @@ def test_minimax_h3_checkpoint_schedule_rebinds_and_reaches_the_first_forward(tm
     pipeline.post_init_called = False
     seen = []
     monkeypatch.setattr(ComposedPipelineBase, "post_init",
-                        lambda self: (setattr(self, "post_init_called", True), self._load_checkpoint_schedule(
+                        lambda self: (setattr(self, "post_init_called", True), self._validate_checkpoint_schedule(
                             self.resolved_config)))
     monkeypatch.setattr(MiniMaxH3ModularPipeline, "_defer_denoise_modules", lambda self, args: False)
     monkeypatch.setattr(ComposedPipelineBase, "_stages", [], raising=False)
@@ -317,12 +350,9 @@ def test_minimax_h3_checkpoint_schedule_rebinds_and_reaches_the_first_forward(tm
     monkeypatch.setattr(ComposedPipelineBase, "stages",
                         property(lambda self: [lambda batch, args: seen.append(args) or batch]))
 
-    pipeline.forward(SimpleNamespace(), pipeline.resolved_config)
+    pipeline.forward(SimpleNamespace(), resolved)
 
-    assert seen == [pipeline.resolved_config] and pipeline.resolved_config is not resolved
-    assert pipeline.resolved_config.pipeline.dmd_denoising_steps == tuple(steps)
-    assert pipeline.resolved_config.provenance("pipeline.dmd_denoising_steps").source == (
-        "checkpoint:fastvideo_inference.json")
+    assert seen == [resolved] and pipeline.resolved_config is resolved
 
 
 def test_training_root_uses_command_line_defaults_and_typed_values(tmp_path):
diff --git a/fastvideo/tests/contract/test_env_policy.py b/fastvideo/tests/contract/test_env_policy.py
index c84eb44f2..f66e79eba 100644
--- a/fastvideo/tests/contract/test_env_policy.py
+++ b/fastvideo/tests/contract/test_env_policy.py
@@ -153,7 +153,6 @@ KNOWN_VIOLATIONS: dict[str, int] = {
     'fastvideo/distributed/device_communicators/cpu_communicator.py: read VLLM_DIST_IDENT': 1,
     'fastvideo/entrypoints/cli/utils.py: whole-environ': 1,
     'fastvideo/entrypoints/openai/api_server.py: write FASTVIDEO_STAGE_LOGGING': 1,
-    'fastvideo/entrypoints/video_generator.py: write FASTVIDEO_NVFP4_FA4': 1,
     'fastvideo/mlx_runtime/memory.py: write <dynamic>': 1,
     'fastvideo/performance/hf_store.py: read HF_REPO_ID': 1,
     'fastvideo/performance/hf_store.py: read PERFORMANCE_TRACKING_SYNC_REUSE_TTL_SECONDS': 1,
diff --git a/fastvideo/tests/entrypoints/test_video_generator.py b/fastvideo/tests/entrypoints/test_video_generator.py
index 192a4bc50..a4570451d 100644
--- a/fastvideo/tests/entrypoints/test_video_generator.py
+++ b/fastvideo/tests/entrypoints/test_video_generator.py
@@ -631,7 +631,7 @@ def test_from_file_loads_generator_from_run_config(tmp_path, monkeypatch):
     assert captured["resolved_config"].engine.num_gpus == 3
 
 
-def test_from_pretrained_convenience_kwargs_do_not_warn(monkeypatch):
+def test_from_pretrained_nested_config_does_not_warn(monkeypatch):
     captured = _patch_from_resolved_config(monkeypatch)
     _skip_model_definition(monkeypatch)
 
@@ -639,12 +639,18 @@ def test_from_pretrained_convenience_kwargs_do_not_warn(monkeypatch):
         warnings.simplefilter("always")
         generator = VideoGenerator.from_pretrained(
             "test-model",
-            num_gpus=4,
-            use_fsdp_inference=False,
-            text_encoder_cpu_offload=True,
-            pin_cpu_memory=True,
-            dit_cpu_offload=False,
-            vae_cpu_offload=False,
+            {
+                "engine": {
+                    "num_gpus": 4,
+                    "use_fsdp_inference": False,
+                    "offload": {
+                        "text_encoder": True,
+                        "pin_cpu_memory": True,
+                        "dit": False,
+                        "vae": False,
+                    },
+                },
+            },
         )
 
     assert not caught
@@ -661,11 +667,11 @@ def test_from_pretrained_convenience_kwargs_do_not_warn(monkeypatch):
     assert generator.config.engine.num_gpus == 4
 
 
-def test_from_pretrained_rejects_other_kwargs_and_points_to_from_config(monkeypatch):
+def test_from_pretrained_rejects_flat_keywords_and_points_to_a_nested_config(monkeypatch):
     captured = _patch_from_resolved_config(monkeypatch)
     _skip_model_definition(monkeypatch)
 
-    with pytest.raises(TypeError, match=r"does not accept workload_type\.(.|\n)*VideoGenerator\.from_config"):
+    with pytest.raises(TypeError, match=r"does not accept num_gpus, workload_type\.(.|\n)*nested config"):
         VideoGenerator.from_pretrained(
             "test-model",
             num_gpus=4,
@@ -675,6 +681,16 @@ def test_from_pretrained_rejects_other_kwargs_and_points_to_from_config(monkeypa
     assert "resolved_config" not in captured
 
 
+def test_from_pretrained_rejects_a_config_with_another_model_path(monkeypatch):
+    captured = _patch_from_resolved_config(monkeypatch)
+    _skip_model_definition(monkeypatch)
+
+    with pytest.raises(ValueError, match="differs from model_path"):
+        VideoGenerator.from_pretrained("test-model", {"model_path": "other-model"})
+
+    assert "resolved_config" not in captured
+
+
 def test_generate_uses_typed_request_path(monkeypatch):
     generator = _new_runtime_video_generator()
     _patch_sampling_param_from_pretrained(monkeypatch)
diff --git a/fastvideo/tests/loader/test_text_encoder_unified_memory_offload.py b/fastvideo/tests/loader/test_text_encoder_unified_memory_offload.py
index a96a2c275..47966a7b6 100644
--- a/fastvideo/tests/loader/test_text_encoder_unified_memory_offload.py
+++ b/fastvideo/tests/loader/test_text_encoder_unified_memory_offload.py
@@ -1,14 +1,15 @@
 # SPDX-License-Identifier: Apache-2.0
-"""Regression tests for encoder placement on unified memory."""
+"""Regression tests for encoder placement: the loader reads the offload decision that resolution made."""
 from __future__ import annotations
 
 from types import SimpleNamespace
-from unittest.mock import Mock
+from unittest.mock import Mock, patch
 
 import pytest
 import torch
 import torch.nn as nn
 
+from fastvideo.api import device_policy
 from fastvideo.api.inference_resolution import resolve_inference_config
 from fastvideo.models.loader.component_loader import ImageEncoderLoader, TextEncoderLoader
 from fastvideo.tests.api.config_snapshot import isolated_environment
@@ -31,58 +32,57 @@ def _model_config():
     return SimpleNamespace(architectures=["PassthroughEncoder"], _fsdp_shard_conditions=[], quant_config=None)
 
 
-def _resolved_config(**offload):
-    """A resolved inference config for a registered model with the given ``engine.offload`` values."""
-    with isolated_environment():
+def _resolved_config(monkeypatch, *, unified: bool, **offload):
+    """A resolved inference config for a registered model, resolved on a unified or discrete device."""
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: unified)
+    monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
+    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
+    with isolated_environment(), patch.object(device_policy, "APPLY_DEVICE_POLICY", True):
         return resolve_inference_config({"model_path": WAN_T2V, "engine": {"offload": offload}})
 
 
-@pytest.mark.parametrize(
-    ("cpu_offload", "requested_target"),
-    [
-        (None, torch.device("cuda:5")),
-        (None, torch.device("cpu")),
-        (True, torch.device("cpu")),
-    ],
-)
-def test_unified_memory_uses_worker_device_before_model_construction(monkeypatch, tmp_path, cpu_offload,
-                                                                     requested_target) -> None:
-    probe = Mock(return_value=True)
+@pytest.fixture
+def passthrough_registry(monkeypatch):
+    monkeypatch.setattr(
+        "fastvideo.models.loader.component_loader.ModelRegistry.resolve_model_cls",
+        lambda architectures: (_PassthroughEncoder, None),
+    )
+
+
+@pytest.mark.parametrize("requested_target", [torch.device("cuda:5"), torch.device("cpu")])
+def test_unified_memory_decision_keeps_the_encoder_on_the_worker_device(monkeypatch, tmp_path, passthrough_registry,
+                                                                        requested_target) -> None:
+    resolved_config = _resolved_config(monkeypatch, unified=True, text_encoder=True)
+    assert resolved_config.engine.offload.text_encoder is False
+    probe = Mock(side_effect=AssertionError("device probe ran in the loader"))
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", probe)
     monkeypatch.setattr("fastvideo.models.loader.component_loader.get_local_torch_device",
                         lambda: torch.device("cuda:5"))
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", probe)
-    monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
-    monkeypatch.setattr(
-        "fastvideo.models.loader.component_loader.ModelRegistry.resolve_model_cls",
-        lambda architectures: (_PassthroughEncoder, None),
-    )
-    resolved_config = _resolved_config(text_encoder=True)
 
-    model = TextEncoderLoader().load_model(
-        str(tmp_path),
-        _model_config(),
-        requested_target,
-        resolved_config,
-        cpu_offload=cpu_offload,
-    )
+    model = TextEncoderLoader().load_model(str(tmp_path), _model_config(), requested_target, resolved_config)
 
     assert isinstance(model, _PassthroughEncoder)
-    assert _PassthroughEncoder.loaded_device == torch.device("cuda:5")
-    # The loader only queries the policy; the worker records the offload decisions on the config.
-    assert resolved_config.engine.offload.text_encoder is True
+    # cpu_offload is off, so the loader keeps the target that the caller chose.
+    assert _PassthroughEncoder.loaded_device == requested_target
     assert resolved_config.override_log == ()
-    probe.assert_called_once_with(5)
+    probe.assert_not_called()
 
 
-def test_discrete_memory_preserves_explicit_cpu_target(monkeypatch, tmp_path) -> None:
+def test_discrete_memory_offloads_the_encoder_to_the_host(monkeypatch, tmp_path, passthrough_registry) -> None:
+    resolved_config = _resolved_config(monkeypatch, unified=False, text_encoder=True)
+    assert resolved_config.engine.offload.text_encoder is True
+    monkeypatch.setattr("fastvideo.models.loader.component_loader.get_local_torch_device",
+                        lambda: torch.device("cuda:2"))
+
+    TextEncoderLoader().load_model(str(tmp_path), _model_config(), torch.device("cuda:2"), resolved_config)
+
+    assert _PassthroughEncoder.loaded_device == torch.device("cpu")
+
+
+def test_discrete_memory_preserves_explicit_cpu_target(monkeypatch, tmp_path, passthrough_registry) -> None:
+    resolved_config = _resolved_config(monkeypatch, unified=False, text_encoder=False)
     monkeypatch.setattr("fastvideo.models.loader.component_loader.get_local_torch_device",
                         lambda: torch.device("cuda:2"))
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: False)
-    monkeypatch.setattr(
-        "fastvideo.models.loader.component_loader.ModelRegistry.resolve_model_cls",
-        lambda architectures: (_PassthroughEncoder, None),
-    )
-    resolved_config = _resolved_config(text_encoder=False)
 
     TextEncoderLoader().load_model(
         str(tmp_path),
@@ -95,27 +95,20 @@ def test_discrete_memory_preserves_explicit_cpu_target(monkeypatch, tmp_path) ->
     assert _PassthroughEncoder.loaded_device == torch.device("cpu")
 
 
-def test_image_encoder_explicit_offload_resets_cpu_target(monkeypatch, tmp_path) -> None:
-    probe = Mock(return_value=True)
+def test_image_encoder_reads_its_own_offload_decision(monkeypatch, tmp_path, passthrough_registry) -> None:
+    resolved_config = _resolved_config(monkeypatch, unified=True, text_encoder=True, image_encoder=True)
+    assert resolved_config.engine.offload.image_encoder is False
     monkeypatch.setattr("fastvideo.models.loader.component_loader.get_local_torch_device",
                         lambda: torch.device("cuda:4"))
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", probe)
-    monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
-    monkeypatch.setattr(
-        "fastvideo.models.loader.component_loader.ModelRegistry.resolve_model_cls",
-        lambda architectures: (_PassthroughEncoder, None),
-    )
-    resolved_config = _resolved_config(text_encoder=True, image_encoder=True)
 
     ImageEncoderLoader().load_model(
         str(tmp_path),
         _model_config(),
-        torch.device("cpu"),
+        torch.device("cuda:4"),
         resolved_config,
-        cpu_offload=True,
+        cpu_offload=resolved_config.engine.offload.image_encoder,
         offload_flag="image_encoder_cpu_offload",
     )
 
     assert _PassthroughEncoder.loaded_device == torch.device("cuda:4")
     assert resolved_config.override_log == ()
-    probe.assert_called_once_with(4)
diff --git a/fastvideo/tests/loader/test_transformer_loader_config.py b/fastvideo/tests/loader/test_transformer_loader_config.py
index d501e4fd7..83fa9f8fc 100644
--- a/fastvideo/tests/loader/test_transformer_loader_config.py
+++ b/fastvideo/tests/loader/test_transformer_loader_config.py
@@ -57,6 +57,7 @@ def test_transformer_loader_passes_the_typed_engine_settings(transformer_dir, fs
             "use_fsdp_inference": True,
             "offload": {
                 "dit": False,
+                "dit_layerwise": False,
                 "pin_cpu_memory": False
             },
             "compile": {
@@ -120,3 +121,22 @@ def test_teacher_critic_flag_loads_checkpoint_weights_without_quantization(monke
     assert teacher["weight_dir_list"] == [str(transformer_dir / "model.safetensors")]
     assert teacher["init_params"]["config"].quant_config is None
     assert resolved_config.pipeline_config.dit_config.quant_config is quant_config
+
+
+def test_load_argument_overrides_the_transformer_class_name(monkeypatch, transformer_dir, fsdp_calls) -> None:
+    """``override_transformer_cls_name`` of the load call wins over the typed component setting."""
+    resolved_config = _resolve({"pipeline": {"components": {"override_transformer_cls_name": "StudentModel"}}})
+    requested = []
+    monkeypatch.setattr(component_loader.ModelRegistry, "resolve_model_cls",
+                        lambda name: requested.append(name) or (_FakeTransformer, None))
+
+    PipelineComponentLoader.load_module("transformer", str(transformer_dir), "diffusers", resolved_config)
+    PipelineComponentLoader.load_module("transformer",
+                                        str(transformer_dir),
+                                        "diffusers",
+                                        resolved_config,
+                                        loading_teacher_critic_model=True,
+                                        override_transformer_cls_name="TeacherModel")
+
+    assert requested == ["StudentModel", "TeacherModel"]
+    assert resolved_config.pipeline.components.override_transformer_cls_name == "StudentModel"
diff --git a/fastvideo/tests/pipelines/test_direct_pipeline_unified_memory.py b/fastvideo/tests/pipelines/test_direct_pipeline_unified_memory.py
index 7cd7f0436..a0c93cae3 100644
--- a/fastvideo/tests/pipelines/test_direct_pipeline_unified_memory.py
+++ b/fastvideo/tests/pipelines/test_direct_pipeline_unified_memory.py
@@ -1,13 +1,15 @@
 # SPDX-License-Identifier: Apache-2.0
-"""Direct pipeline construction applies offload policy after device setup."""
+"""Direct pipeline construction runs on the resolved config, whose offload settings resolution already settled."""
 from __future__ import annotations
 
 from contextlib import nullcontext
 from types import SimpleNamespace
+from unittest.mock import Mock, patch
 
 import torch
 
 import fastvideo.pipelines.composed_pipeline_base as composed_pipeline_base
+from fastvideo.api import device_policy
 from fastvideo.api.device_policy import UNIFIED_MEMORY_OFFLOAD_PATHS
 from fastvideo.api.inference_resolution import resolve_inference_config
 from fastvideo.pipelines.composed_pipeline_base import ComposedPipelineBase
@@ -35,10 +37,13 @@ class _Pipeline(ComposedPipelineBase):
         del resolved_config
 
 
-def test_direct_pipeline_applies_policy_after_device_initialization(monkeypatch) -> None:
+def test_direct_pipeline_loads_with_the_resolved_offload_policy(monkeypatch) -> None:
     events = []
     monkeypatch.setattr(_Pipeline, "events", events)
-    with isolated_environment():
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: True)
+    monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
+    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
+    with isolated_environment(), patch.object(device_policy, "APPLY_DEVICE_POLICY", True):
         resolved_config = resolve_inference_config({
             "model_path": "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
             "engine": {
@@ -46,28 +51,22 @@ def test_direct_pipeline_applies_policy_after_device_initialization(monkeypatch)
             },
         })
 
-    def classify_device(device_id):
-        events.append(("offload_policy", device_id))
-        return True
-
+    probe = Mock(side_effect=AssertionError("device probe ran while building the pipeline"))
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", probe)
     monkeypatch.setattr(
         composed_pipeline_base,
         "maybe_init_distributed_environment_and_model_parallel",
         lambda *args: events.append(("distributed", None)),
     )
-    monkeypatch.setattr(composed_pipeline_base, "get_local_torch_device", lambda: torch.device("cuda:4"))
     monkeypatch.setattr(composed_pipeline_base, "get_world_group", lambda: SimpleNamespace(local_rank=4))
     monkeypatch.setattr(composed_pipeline_base, "get_or_create_profiler", lambda trace_dir: _Profiler())
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", classify_device)
-    monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
-    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
 
     pipeline = _Pipeline("unused", resolved_config, required_config_modules=[])
 
     assert pipeline.modules == {}
+    assert pipeline.resolved_config is resolved_config
     assert events == [
         ("distributed", None),
-        ("offload_policy", 4),
         (
             "load_modules",
             {
@@ -76,3 +75,4 @@ def test_direct_pipeline_applies_policy_after_device_initialization(monkeypatch)
             },
         ),
     ]
+    probe.assert_not_called()
diff --git a/fastvideo/tests/pipelines/test_ltx2_refine_checkpoint_defaults.py b/fastvideo/tests/pipelines/test_ltx2_refine_checkpoint_defaults.py
index 3d6d668b7..a69871800 100644
--- a/fastvideo/tests/pipelines/test_ltx2_refine_checkpoint_defaults.py
+++ b/fastvideo/tests/pipelines/test_ltx2_refine_checkpoint_defaults.py
@@ -1,9 +1,13 @@
 # SPDX-License-Identifier: Apache-2.0
-"""LTX-2 refine settings after the checkpoint's model_index.json defaults are applied at load time."""
+"""LTX-2 refine settings after resolution fills them from the checkpoint's model_index.json."""
 from __future__ import annotations
 
-from fastvideo.api.inference_resolution import resolve_inference_config
-from fastvideo.pipelines.basic.ltx2.ltx2_pipeline import LTX2Pipeline, _checkpoint_refine_values
+import json
+
+from fastvideo.api.checkpoint_defaults import ltx2_refine_checkpoint_step
+from fastvideo.api.inference_resolution import fill_runtime_defaults, resolve_inference_config
+from fastvideo.api.resolution import resolve_generator_config
+from fastvideo.pipelines.basic.ltx2.pipeline_configs import LTX2T2VConfig
 from fastvideo.tests.api.config_snapshot import isolated_environment
 
 LTX2 = "FastVideo/LTX2-Distilled-Diffusers"
@@ -14,46 +18,90 @@ CHECKPOINT_REFINE = {
     "fastvideo_refine_add_noise": False,
     "fastvideo_refine_lora_path": "FastVideo/LTX2-Distilled-LoRA",
 }
+REFINE_SWITCHES = (
+    "pipeline.ltx2.refine.enabled",
+    "pipeline.ltx2.refine.num_inference_steps",
+    "pipeline.ltx2.refine.guidance_scale",
+    "pipeline.ltx2.refine.add_noise",
+)
 
 
-def _resolve(refine: dict | None = None):
-    raw = {"model_path": LTX2}
+def _checkpoint(tmp_path, **manifest_entries) -> str:
+    """A local LTX-2 checkpoint directory whose model_index.json holds ``manifest_entries``."""
+    (tmp_path / "transformer").mkdir()
+    (tmp_path / "model_index.json").write_text(
+        json.dumps({
+            "_class_name": "LTX2Pipeline",
+            "_diffusers_version": "0",
+            "transformer": ["diffusers", "Model"],
+            **manifest_entries
+        }))
+    return str(tmp_path)
+
+
+def _resolve_local(model_path: str, refine: dict | None = None, upsampler_weights: str | None = None):
+    """Resolve a local LTX-2 checkpoint through the checkpoint step and the runtime defaults only."""
+    raw: dict = {"model_path": model_path, "pipeline": {"components": {"upsampler_weights": upsampler_weights}}}
     if refine is not None:
-        raw["pipeline"] = {"ltx2": {"refine": refine}}
-    with isolated_environment():
-        return resolve_inference_config(raw)
+        raw["pipeline"]["ltx2"] = {"refine": refine}
+    return resolve_generator_config(raw, (ltx2_refine_checkpoint_step(LTX2T2VConfig()), fill_runtime_defaults))
 
 
-def test_load_fills_unset_refine_settings_from_the_checkpoint_then_the_defaults(tmp_path):
-    resolved = _resolve()
-    pipeline = object.__new__(LTX2Pipeline)
-    pipeline.model_path = str(tmp_path)
-    pipeline.resolved_config = resolved
-    pipeline._required_config_modules = list(LTX2Pipeline._required_config_modules)
-    model_index = {name: ["diffusers", "Model"] for name in pipeline._required_config_modules}
-    pipeline._load_config = lambda model_path: {
-        "_class_name": "LTX2Pipeline",
-        "_diffusers_version": "0",
-        "fastvideo_refine_num_inference_steps": 2,
-        **model_index,
-    }
+def test_checkpoint_fills_unset_refine_settings_then_the_defaults_fill_the_rest(tmp_path):
+    model_path = _checkpoint(tmp_path, fastvideo_refine_num_inference_steps=2)
+    (tmp_path / "spatial_upscaler").mkdir()
 
-    pipeline.load_modules(resolved, {name: object() for name in model_index})
+    resolved = _resolve_local(model_path)
 
-    refine = pipeline.resolved_config.pipeline.ltx2.refine
+    refine = resolved.pipeline.ltx2.refine
     switches = (refine.enabled, refine.num_inference_steps, refine.guidance_scale, refine.add_noise)
     assert switches == (False, 2, 1.0, True)
-    assert pipeline.resolved_config.provenance("pipeline.ltx2.refine.add_noise").source == "checkpoint:model_index.json"
-    assert resolved.pipeline.ltx2.refine.num_inference_steps is None
+    assert resolved.provenance("pipeline.ltx2.refine.num_inference_steps").source == "fill_ltx2_refine_from_checkpoint"
+    assert resolved.provenance("pipeline.ltx2.refine.add_noise").source == "fill_runtime_defaults"
+    assert resolved.pipeline.components.upsampler_weights == str(tmp_path / "spatial_upscaler")
 
 
-def test_input_refine_settings_win_over_the_checkpoint():
-    resolved = _resolve({"enabled": False, "num_inference_steps": 3, "guidance_scale": 2.0})
+def test_input_refine_settings_win_over_the_checkpoint(tmp_path):
+    model_path = _checkpoint(tmp_path, **CHECKPOINT_REFINE)
 
-    values = _checkpoint_refine_values(resolved, "/unused", dict(CHECKPOINT_REFINE))
+    resolved = _resolve_local(model_path, {"enabled": False, "num_inference_steps": 3, "guidance_scale": 2.0})
 
-    assert values == {
+    checkpoint_decisions = [
+        values for source, values in resolved.decisions if source == "fill_ltx2_refine_from_checkpoint"
+    ]
+    assert checkpoint_decisions == [{
         "pipeline.ltx2.refine.add_noise": False,
         "pipeline.ltx2.refine.lora_path": "FastVideo/LTX2-Distilled-LoRA",
-    }
-    assert _checkpoint_refine_values(_resolve(), "/unused", dict(CHECKPOINT_REFINE))["pipeline.ltx2.refine.enabled"]
+    }]
+    assert resolved.pipeline.ltx2.refine.enabled is False
+    assert _resolve_local(model_path).pipeline.ltx2.refine.enabled is True
+
+
+def test_relative_refine_paths_resolve_inside_the_checkpoint(tmp_path):
+    (tmp_path / "transformer_refine").mkdir()
+    model_path = _checkpoint(tmp_path,
+                             fastvideo_refine_transformer_path="transformer_refine",
+                             fastvideo_refine_noise_path="/weights/noise.safetensors",
+                             spatial_upsampler=["diffusers", "LTX2LatentUpsampler"])
+    (tmp_path / "spatial_upsampler").mkdir()
+
+    resolved = _resolve_local(model_path)
+
+    assert resolved.pipeline.ltx2.refine.transformer_path == str(tmp_path / "transformer_refine")
+    assert resolved.pipeline.ltx2.refine.noise_path == "/weights/noise.safetensors"
+    assert resolved.pipeline.components.upsampler_weights == str(tmp_path / "spatial_upsampler")
+
+
+def test_step_skips_other_models_and_blocked_downloads(tmp_path):
+    model_path = _checkpoint(tmp_path, **CHECKPOINT_REFINE)
+    other_model = resolve_generator_config({"model_path": model_path},
+                                           (ltx2_refine_checkpoint_step(object()), fill_runtime_defaults))
+    assert other_model.pipeline.ltx2.refine.enabled is False
+    assert other_model.pipeline.ltx2.refine.lora_path is None
+
+    with isolated_environment():
+        hub_model = resolve_inference_config({"model_path": LTX2})
+
+    assert [source for source, _ in hub_model.decisions if source == "fill_ltx2_refine_from_checkpoint"] == []
+    assert tuple(hub_model.provenance(path).value for path in REFINE_SWITCHES) == (False, 3, 1.0, True)
+    assert hub_model.provenance("pipeline.ltx2.refine.enabled").source == "fill_runtime_defaults"
diff --git a/fastvideo/tests/platforms/test_unified_memory_offload.py b/fastvideo/tests/platforms/test_unified_memory_offload.py
index 959624e07..ab0223fd7 100644
--- a/fastvideo/tests/platforms/test_unified_memory_offload.py
+++ b/fastvideo/tests/platforms/test_unified_memory_offload.py
@@ -1,14 +1,14 @@
 # SPDX-License-Identifier: Apache-2.0
-"""CPU tests for worker-local offload policy on unified-memory devices."""
+"""CPU tests for the device-policy resolution steps, which settle host offload for the local device's memory class."""
 from __future__ import annotations
 
 import dataclasses
-from unittest.mock import Mock
+from unittest.mock import Mock, patch
 
 import pytest
 
-from fastvideo.api.device_policy import (UNIFIED_MEMORY_OFFLOAD_PATHS, disable_offload_on_unified_memory,
-                                         finalize_device_offload_policy)
+from fastvideo.api import device_policy
+from fastvideo.api.device_policy import LOCAL_DEVICE_ID, UNIFIED_MEMORY_OFFLOAD_PATHS
 from fastvideo.api.inference_resolution import resolve_inference_config
 from fastvideo.api.schema import OffloadConfig
 from fastvideo.api.training_schema import resolve_training_config
@@ -23,9 +23,14 @@ def _offload_field(flag: str) -> str:
     return UNIFIED_MEMORY_OFFLOAD_PATHS[flag].rsplit(".", 1)[1]
 
 
+def _device_policy_enabled():
+    """Turn the device-policy steps on inside the test isolation, which turns them off like downloads."""
+    return patch.object(device_policy, "APPLY_DEVICE_POLICY", True)
+
+
 def _resolve(engine: dict | None = None):
     """A resolved inference config for a registered model with the given ``engine`` section."""
-    with isolated_environment():
+    with isolated_environment(), _device_policy_enabled():
         return resolve_inference_config({"model_path": WAN_T2V, "engine": engine or {}})
 
 
@@ -42,6 +47,11 @@ def _enabled_flags(resolved_config) -> list[str]:
     ]
 
 
+def _decisions_of(resolved_config, source: str) -> list[dict]:
+    """The values that the step ``source`` decided, in order."""
+    return [values for decided_by, values in resolved_config.decisions if decided_by == source]
+
+
 @pytest.fixture
 def as_unified_cuda(monkeypatch):
     probe = Mock(return_value=True)
@@ -51,22 +61,23 @@ def as_unified_cuda(monkeypatch):
     return probe
 
 
-def test_resolving_an_inference_config_defers_device_policy(monkeypatch) -> None:
-    probe = Mock(side_effect=AssertionError("device probe ran in the driver"))
+@pytest.fixture
+def as_discrete_cuda(monkeypatch):
+    probe = Mock(return_value=False)
     monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", probe)
-
-    resolved_config = _resolve({"use_fsdp_inference": True})
-
-    assert resolved_config.engine.use_fsdp_inference is True
-    assert resolved_config.engine.offload.dit_layerwise is True
-    assert resolved_config.engine.offload.dit is True
-    probe.assert_not_called()
-
-
-def test_training_resolution_retains_offload_conflict_normalization(monkeypatch) -> None:
     monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
+    return probe
 
-    with isolated_environment():
+
+def test_resolution_queries_the_local_device(as_unified_cuda) -> None:
+    _resolve()
+
+    assert as_unified_cuda.call_args_list
+    assert {call.args for call in as_unified_cuda.call_args_list} == {(LOCAL_DEVICE_ID, )}
+
+
+def test_training_resolution_settles_offload_conflicts(as_discrete_cuda) -> None:
+    with isolated_environment(), _device_policy_enabled():
         resolved_config = resolve_training_config({
             "model_path": WAN_T2V,
             "engine": {
@@ -85,6 +96,8 @@ def test_training_resolution_retains_offload_conflict_normalization(monkeypatch)
     assert resolved_config.engine.offload.dit_layerwise is True
     assert resolved_config.engine.offload.dit is False
     assert resolved_config.engine.use_fsdp_inference is False
+    assert resolved_config.provenance("engine.use_fsdp_inference").source == "apply_layerwise_offload_conflicts"
+    assert resolved_config.engine.offload.lazy_module_load is False
 
 
 def test_policy_list_covers_every_host_offload_field() -> None:
@@ -96,145 +109,139 @@ def test_policy_list_covers_every_host_offload_field() -> None:
 def test_unified_device_disables_every_offload_flag(as_unified_cuda) -> None:
     resolved_config = _resolve()
 
-    decided = finalize_device_offload_policy(resolved_config, device_id=6)
-
-    as_unified_cuda.assert_called_once_with(6)
-    assert not _enabled_flags(decided)
-    assert _enabled_flags(resolved_config) == list(UNIFIED_MEMORY_OFFLOAD_FLAGS)
+    assert not _enabled_flags(resolved_config)
+    assert _decisions_of(resolved_config, "apply_unified_memory_offload_policy") == [{
+        path: False
+        for path in UNIFIED_MEMORY_OFFLOAD_PATHS.values()
+    }]
+    for flag in UNIFIED_MEMORY_OFFLOAD_FLAGS:
+        provenance = resolved_config.provenance(UNIFIED_MEMORY_OFFLOAD_PATHS[flag])
+        assert (provenance.raw_value, provenance.source) == (True, "apply_unified_memory_offload_policy")
 
 
 @pytest.mark.parametrize("flag", UNIFIED_MEMORY_OFFLOAD_FLAGS)
 def test_each_offload_flag_is_independently_disabled(as_unified_cuda, flag: str) -> None:
     resolved_config = _with_offloads(flag)
-    assert _enabled_flags(resolved_config) == [flag]
 
-    decided = disable_offload_on_unified_memory(resolved_config, device_id=2)
-
-    assert not _enabled_flags(decided)
-    assert decided.override_log == (("device_policy:unified_memory", {UNIFIED_MEMORY_OFFLOAD_PATHS[flag]: False}), )
+    assert not _enabled_flags(resolved_config)
+    assert _decisions_of(resolved_config, "apply_unified_memory_offload_policy") == [{
+        UNIFIED_MEMORY_OFFLOAD_PATHS[flag]: False
+    }]
 
 
-def test_discrete_device_classification_preserves_offload_requests(monkeypatch) -> None:
-    probe = Mock(return_value=False)
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", probe)
+def test_discrete_device_classification_preserves_offload_requests(as_discrete_cuda) -> None:
     resolved_config = _resolve()
 
-    assert disable_offload_on_unified_memory(resolved_config, device_id=3) is resolved_config
-
-    probe.assert_called_once_with(3)
-    assert _enabled_flags(resolved_config) == list(UNIFIED_MEMORY_OFFLOAD_FLAGS)
+    assert _enabled_flags(resolved_config) == [
+        flag for flag in UNIFIED_MEMORY_OFFLOAD_FLAGS if flag != "dit_cpu_offload"
+    ]
+    assert _decisions_of(resolved_config, "apply_unified_memory_offload_policy") == []
+    assert resolved_config.provenance("engine.offload.dit").source == "apply_layerwise_offload_conflicts"
 
 
-def test_discrete_device_finalization_retains_layerwise_precedence(monkeypatch) -> None:
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: False)
-    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
+def test_discrete_device_retains_layerwise_precedence(as_discrete_cuda) -> None:
     resolved_config = _resolve({"use_fsdp_inference": True})
 
-    decided = finalize_device_offload_policy(resolved_config, device_id=3)
-
-    offload = decided.engine.offload
+    offload = resolved_config.engine.offload
     assert offload.dit_layerwise is True
     assert offload.dit is False
-    assert decided.engine.use_fsdp_inference is False
+    assert resolved_config.engine.use_fsdp_inference is False
     assert offload.text_encoder is True
     assert offload.image_encoder is True
     assert offload.vae is True
     assert offload.lazy_module_load is False
-
-
-def test_workers_classify_their_own_device(monkeypatch) -> None:
-    seen_device_ids = []
-
-    def has_unified_memory(device_id):
-        seen_device_ids.append(device_id)
-        return device_id == 1
-
-    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", has_unified_memory)
-    monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "NVIDIA GB10")
-    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
-    resolved_config = _resolve()
-
-    device_zero = finalize_device_offload_policy(resolved_config, device_id=0)
-    device_one = finalize_device_offload_policy(resolved_config, device_id=1)
-
-    assert seen_device_ids == [0, 1]
-    assert device_zero.engine.offload.dit_layerwise is True
-    assert device_zero.engine.offload.text_encoder is True
-    assert not _enabled_flags(device_one)
-
-
-def test_policy_applied_to_its_own_result_changes_nothing(as_unified_cuda) -> None:
-    decided = finalize_device_offload_policy(_resolve(), device_id=1)
-
-    again = finalize_device_offload_policy(decided, device_id=1)
-
-    assert again.override_log == decided.override_log
-    assert again.to_dict() == decided.to_dict()
+    assert _decisions_of(resolved_config, "apply_layerwise_offload_conflicts") == [{
+        "engine.use_fsdp_inference": False,
+        "engine.offload.dit": False,
+    }]
 
 
 def test_mps_clears_offload_and_keeps_its_fsdp_rule(monkeypatch) -> None:
     monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: True)
     monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: True)
     monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", lambda device_id: "mps")
+
     resolved_config = _resolve({"use_fsdp_inference": True})
 
-    decided = finalize_device_offload_policy(resolved_config)
-
-    assert decided.engine.use_fsdp_inference is False
-    assert not _enabled_flags(decided)
+    assert resolved_config.engine.use_fsdp_inference is False
+    assert not _enabled_flags(resolved_config)
+    assert _decisions_of(resolved_config, "apply_mps_offload_policy") == [{
+        "engine.use_fsdp_inference": False,
+        "engine.offload.dit_layerwise": False,
+    }]
 
 
 def test_cuda_unified_memory_preserves_realistic_fsdp_request(as_unified_cuda) -> None:
     resolved_config = _resolve({"use_fsdp_inference": True})
-    assert resolved_config.engine.offload.dit_layerwise is True
+
     assert resolved_config.engine.use_fsdp_inference is True
-
-    decided = finalize_device_offload_policy(resolved_config)
-
-    assert decided.engine.use_fsdp_inference is True
-    assert not _enabled_flags(decided)
+    assert not _enabled_flags(resolved_config)
+    assert _decisions_of(resolved_config, "apply_layerwise_offload_conflicts") == []
 
 
 def test_pin_cpu_memory_is_not_a_host_offload_mode(as_unified_cuda) -> None:
     resolved_config = _resolve({"offload": {"pin_cpu_memory": True}})
 
-    decided = finalize_device_offload_policy(resolved_config)
-
     assert "pin_cpu_memory" not in UNIFIED_MEMORY_OFFLOAD_FLAGS
-    assert decided.engine.offload.pin_cpu_memory is True
+    assert resolved_config.engine.offload.pin_cpu_memory is True
 
 
 def test_already_disabled_flags_stay_disabled(as_unified_cuda) -> None:
-    decided = finalize_device_offload_policy(_with_offloads())
+    resolved_config = _with_offloads()
 
-    assert not _enabled_flags(decided)
+    assert not _enabled_flags(resolved_config)
+    assert _decisions_of(resolved_config, "apply_unified_memory_offload_policy") == []
 
 
 @pytest.mark.parametrize("name_error", [NotImplementedError, ValueError, RuntimeError])
 def test_platform_without_device_name_uses_generic_name(monkeypatch, name_error: type[Exception]) -> None:
     monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: True)
+    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
 
     def unsupported_name(device_id):
         raise name_error("device name unavailable")
 
     monkeypatch.setattr("fastvideo.platforms.current_platform.get_device_name", unsupported_name)
+
     resolved_config = _with_offloads("text_encoder_cpu_offload")
 
-    decided = disable_offload_on_unified_memory(resolved_config, device_id=0)
+    assert resolved_config.engine.offload.text_encoder is False
 
-    assert decided.engine.offload.text_encoder is False
+
+def test_failed_device_query_counts_as_discrete(monkeypatch) -> None:
+
+    def unavailable(device_id):
+        raise RuntimeError("no CUDA driver")
+
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", unavailable)
+    monkeypatch.setattr("fastvideo.platforms.current_platform.is_mps", lambda: False)
+
+    resolved_config = _with_offloads("text_encoder_cpu_offload")
+
+    assert resolved_config.engine.offload.text_encoder is True
+    assert resolved_config.engine.offload.lazy_module_load is False
 
 
 def test_unified_device_auto_enables_lazy_module_load(as_unified_cuda) -> None:
     resolved_config = _resolve()
 
-    assert resolved_config.engine.offload.lazy_module_load is None
-    assert finalize_device_offload_policy(resolved_config, device_id=6).engine.offload.lazy_module_load is True
+    provenance = resolved_config.provenance("engine.offload.lazy_module_load")
+    assert (provenance.raw_value, provenance.value, provenance.source) == (None, True, "fill_lazy_module_load")
 
 
 def test_explicit_false_lazy_module_load_stays_off_on_unified(as_unified_cuda) -> None:
     resolved_config = _resolve({"offload": {"lazy_module_load": False}})
 
-    decided = finalize_device_offload_policy(resolved_config, device_id=6)
+    assert resolved_config.engine.offload.lazy_module_load is False
+    assert resolved_config.provenance("engine.offload.lazy_module_load").source == "input"
 
-    assert decided.engine.offload.lazy_module_load is False
+
+def test_disabled_device_policy_decides_nothing(as_unified_cuda) -> None:
+    with isolated_environment(), patch.object(device_policy, "APPLY_DEVICE_POLICY", False):
+        resolved_config = resolve_inference_config({"model_path": WAN_T2V, "engine": {"use_fsdp_inference": True}})
+
+    assert _enabled_flags(resolved_config) == list(UNIFIED_MEMORY_OFFLOAD_FLAGS)
+    assert resolved_config.engine.use_fsdp_inference is True
+    assert resolved_config.engine.offload.lazy_module_load is None
+    assert [source for source, _ in resolved_config.decisions if source.startswith(("apply_", "fill_lazy"))] == []
+    as_unified_cuda.assert_not_called()
diff --git a/fastvideo/tests/ssim/test_gamecraft_similarity.py b/fastvideo/tests/ssim/test_gamecraft_similarity.py
index 809a53375..5fc5c4fb3 100644
--- a/fastvideo/tests/ssim/test_gamecraft_similarity.py
+++ b/fastvideo/tests/ssim/test_gamecraft_similarity.py
@@ -178,13 +178,17 @@ def test_gamecraft_t2v_similarity(prompt, ATTENTION_BACKEND, model_id, env_overr
         dtype=torch.bfloat16,
     )
 
-    init_kwargs = {
-        "num_gpus": BASE_PARAMS["num_gpus"],
-        "use_fsdp_inference": True,
-        "dit_cpu_offload": True,
-        "vae_cpu_offload": True,
-        "text_encoder_cpu_offload": True,
-        "pin_cpu_memory": True,
+    generator_config = {
+        "engine": {
+            "num_gpus": BASE_PARAMS["num_gpus"],
+            "use_fsdp_inference": True,
+            "offload": {
+                "dit": True,
+                "vae": True,
+                "text_encoder": True,
+                "pin_cpu_memory": True,
+            },
+        },
     }
 
     request = {
@@ -210,7 +214,7 @@ def test_gamecraft_t2v_similarity(prompt, ATTENTION_BACKEND, model_id, env_overr
 
     generator: VideoGenerator | None = None
     try:
-        generator = VideoGenerator.from_pretrained(model_path=BASE_PARAMS["model_path"], **init_kwargs)
+        generator = VideoGenerator.from_pretrained(BASE_PARAMS["model_path"], generator_config)
         generator.generate(request)
     finally:
         _shutdown_executor(generator)
@@ -308,13 +312,17 @@ def test_gamecraft_i2v_similarity(prompt, ATTENTION_BACKEND, model_id, env_overr
         dtype=torch.bfloat16,
     )
 
-    init_kwargs = {
-        "num_gpus": BASE_PARAMS["num_gpus"],
-        "use_fsdp_inference": True,
-        "dit_cpu_offload": True,
-        "vae_cpu_offload": True,
-        "text_encoder_cpu_offload": True,
-        "pin_cpu_memory": True,
+    generator_config = {
+        "engine": {
+            "num_gpus": BASE_PARAMS["num_gpus"],
+            "use_fsdp_inference": True,
+            "offload": {
+                "dit": True,
+                "vae": True,
+                "text_encoder": True,
+                "pin_cpu_memory": True,
+            },
+        },
     }
 
     request = {
@@ -343,7 +351,7 @@ def test_gamecraft_i2v_similarity(prompt, ATTENTION_BACKEND, model_id, env_overr
 
     generator: VideoGenerator | None = None
     try:
-        generator = VideoGenerator.from_pretrained(model_path=BASE_PARAMS["model_path"], **init_kwargs)
+        generator = VideoGenerator.from_pretrained(BASE_PARAMS["model_path"], generator_config)
         generator.generate(request)
     finally:
         _shutdown_executor(generator)
diff --git a/fastvideo/tests/ssim/test_matrixgame2_similarity.py b/fastvideo/tests/ssim/test_matrixgame2_similarity.py
index 6ae963152..9f8cfee91 100644
--- a/fastvideo/tests/ssim/test_matrixgame2_similarity.py
+++ b/fastvideo/tests/ssim/test_matrixgame2_similarity.py
@@ -117,14 +117,18 @@ def test_matrixgame2_similarity(prompt, ATTENTION_BACKEND, model_id, env_overrid
     latent_frames = (BASE_PARAMS["num_frames"] - 1) // 4 + 1
     grid_sizes = torch.tensor([latent_frames, 44, 80])
 
-    init_kwargs = {
-        "num_gpus": BASE_PARAMS["num_gpus"],
-        "use_fsdp_inference": True,
-        "dit_layerwise_offload": False,
-        "dit_cpu_offload": False,
-        "vae_cpu_offload": False,
-        "text_encoder_cpu_offload": True,
-        "pin_cpu_memory": True,
+    generator_config = {
+        "engine": {
+            "num_gpus": BASE_PARAMS["num_gpus"],
+            "use_fsdp_inference": True,
+            "offload": {
+                "dit_layerwise": False,
+                "dit": False,
+                "vae": False,
+                "text_encoder": True,
+                "pin_cpu_memory": True,
+            },
+        },
     }
 
     request = {
@@ -148,7 +152,7 @@ def test_matrixgame2_similarity(prompt, ATTENTION_BACKEND, model_id, env_overrid
         },
     }
 
-    generator = VideoGenerator.from_pretrained(model_path=BASE_PARAMS["model_path"], **init_kwargs)
+    generator = VideoGenerator.from_pretrained(BASE_PARAMS["model_path"], generator_config)
     generator.generate(request)
 
     if isinstance(generator.executor, MultiprocExecutor):
diff --git a/fastvideo/tests/ssim/test_matrixgame3_similarity.py b/fastvideo/tests/ssim/test_matrixgame3_similarity.py
index a829570d5..6f489d5b8 100644
--- a/fastvideo/tests/ssim/test_matrixgame3_similarity.py
+++ b/fastvideo/tests/ssim/test_matrixgame3_similarity.py
@@ -104,14 +104,18 @@ def test_matrixgame3_similarity(prompt, ATTENTION_BACKEND, model_id, env_overrid
     BASE_PARAMS = params_map[model_id]
     num_inference_steps = BASE_PARAMS["num_inference_steps"]
 
-    init_kwargs = {
-        "num_gpus": BASE_PARAMS["num_gpus"],
-        "use_fsdp_inference": True,
-        "dit_layerwise_offload": False,
-        "dit_cpu_offload": False,
-        "vae_cpu_offload": False,
-        "text_encoder_cpu_offload": True,
-        "pin_cpu_memory": True,
+    generator_config = {
+        "engine": {
+            "num_gpus": BASE_PARAMS["num_gpus"],
+            "use_fsdp_inference": True,
+            "offload": {
+                "dit_layerwise": False,
+                "dit": False,
+                "vae": False,
+                "text_encoder": True,
+                "pin_cpu_memory": True,
+            },
+        },
     }
 
     request = {
@@ -133,7 +137,7 @@ def test_matrixgame3_similarity(prompt, ATTENTION_BACKEND, model_id, env_overrid
         },
     }
 
-    generator = VideoGenerator.from_pretrained(model_path=BASE_PARAMS["model_path"], **init_kwargs)
+    generator = VideoGenerator.from_pretrained(BASE_PARAMS["model_path"], generator_config)
     generator.generate(request)
 
     if isinstance(generator.executor, MultiprocExecutor):
diff --git a/fastvideo/tests/stages/test_ltx2_refine_upsampler_resolve.py b/fastvideo/tests/stages/test_ltx2_refine_upsampler_resolve.py
index a9289c3b0..2ab9efd78 100644
--- a/fastvideo/tests/stages/test_ltx2_refine_upsampler_resolve.py
+++ b/fastvideo/tests/stages/test_ltx2_refine_upsampler_resolve.py
@@ -4,7 +4,7 @@
 Pure tmp_path tests: no GPU, no model downloads.
 """
 
-from fastvideo.pipelines.basic.ltx2.ltx2_pipeline import _resolve_refine_upsampler_path
+from fastvideo.api.checkpoint_defaults import _resolve_refine_upsampler_path
 
 
 def test_model_index_key_wins_over_directory_probe(tmp_path):
diff --git a/fastvideo/tests/stages/test_minimax_h3_distilled_schedule.py b/fastvideo/tests/stages/test_minimax_h3_distilled_schedule.py
index adb0308b4..510b38e1c 100644
--- a/fastvideo/tests/stages/test_minimax_h3_distilled_schedule.py
+++ b/fastvideo/tests/stages/test_minimax_h3_distilled_schedule.py
@@ -9,6 +9,9 @@ import pytest
 import torch
 from torch.testing import assert_close
 
+from fastvideo.api.checkpoint_defaults import dmd_schedule_checkpoint_step
+from fastvideo.api.inference_resolution import fill_runtime_defaults
+from fastvideo.api.resolution import resolve_generator_config
 from fastvideo.configs.pipelines.minimax_h3 import MiniMaxH3PipelineConfig
 from fastvideo.models.schedulers.scheduling_minimax_h3 import MiniMaxH3Scheduler
 from fastvideo.pipelines.basic.minimax_h3.minimax_h3_pipeline import MiniMaxH3ModularPipeline
@@ -38,6 +41,19 @@ def _pipeline(tmp_path, *, video_shift=10.0):
     return pipeline
 
 
+def _resolve_checkpoint(tmp_path, raw=None):
+    """Resolve the local checkpoint ``tmp_path`` through the checkpoint schedule step and the runtime defaults."""
+    return resolve_generator_config({"model_path": str(tmp_path), **(raw or {})},
+                                    (dmd_schedule_checkpoint_step(MiniMaxH3PipelineConfig()), fill_runtime_defaults),
+                                    materialize=lambda _: MiniMaxH3PipelineConfig())
+
+
+def _with_steps(steps):
+    """A resolved config whose input sets ``pipeline.dmd_denoising_steps``."""
+    return make_resolved_config(MiniMaxH3PipelineConfig(dmd_denoising_steps=steps),
+                                raw={"pipeline": {"dmd_denoising_steps": steps}})
+
+
 def test_pipeline_preserves_shift10_from_checkpoint(tmp_path):
     # Exercise real initialization with weight loading omitted. The schedulers
     # represent scheduler_config.json from the eight-forward T2AV checkpoint.
@@ -85,8 +101,8 @@ def _run_tiny_stage(monkeypatch, steps, grid_points, *, video_shift=10.0, offloa
     resolved_config = make_resolved_config(MiniMaxH3PipelineConfig(),
                                            raw={"engine": {"offload": offload, "use_fsdp_inference": False}})
     if steps is not None:
-        # A schedule decided after resolution, such as the checkpoint's, arrives through with_override, which does
-        # not type-check values, so the stage's own ladder validation is what rejects a malformed one.
+        # The checkpoint step copies the schedule as written and an override skips the parser's type check, so the
+        # stage's own ladder validation is what rejects a malformed one.
         resolved_config = resolved_config.with_override("test:dmd_schedule", {"pipeline.dmd_denoising_steps": steps})
     batch = ForwardBatch(
         data_type="video", prompt_embeds=[torch.zeros(1, 2, 8)], latents=torch.ones(2, 96), audio_latents=torch.ones(4, 32),
@@ -158,17 +174,34 @@ def test_eight_forward_schedule_uses_trained_rungs_for_both_modalities(monkeypat
     assert_close(result.audio_latents, torch.full_like(result.audio_latents, 1.0 - 3.0 * audio_sigmas[0]))
 
 
-def test_pipeline_loads_the_exported_ladder_and_rejects_a_conflicting_one(tmp_path):
+def test_resolution_fills_the_exported_ladder_and_the_pipeline_accepts_it(tmp_path):
     (tmp_path / "fastvideo_inference.json").write_text(json.dumps(CONTRACT))
-    pipeline = _pipeline(tmp_path)
-    pipeline.initialize_pipeline(make_resolved_config(MiniMaxH3PipelineConfig()))
-    assert list(pipeline.resolved_config.pipeline.dmd_denoising_steps) == DMD_STEPS
+    resolved_config = _resolve_checkpoint(tmp_path)
+    assert list(resolved_config.pipeline.dmd_denoising_steps) == DMD_STEPS
+    provenance = resolved_config.provenance("pipeline.dmd_denoising_steps")
+    assert provenance.source == "fill_dmd_schedule_from_checkpoint"
 
+    pipeline = _pipeline(tmp_path)
+    pipeline.initialize_pipeline(resolved_config)
+
+    # An input schedule wins during resolution; the pipeline then rejects the disagreement with the checkpoint.
+    explicit = _resolve_checkpoint(tmp_path, {"pipeline": {"dmd_denoising_steps": DMD_STEPS}})
+    assert explicit.provenance("pipeline.dmd_denoising_steps").source == "input"
     wrong_steps = [1000, 750, 500, 250]
-    wrong = make_resolved_config(MiniMaxH3PipelineConfig(dmd_denoising_steps=wrong_steps),
-                                 raw={"pipeline": {"dmd_denoising_steps": wrong_steps}})
     with pytest.raises(ValueError, match="checkpoint.*DMD"):
-        pipeline.initialize_pipeline(wrong)
+        pipeline.initialize_pipeline(_with_steps(wrong_steps))
+    with pytest.raises(ValueError, match="dmd_denoising_steps is unset"):
+        pipeline.initialize_pipeline(make_resolved_config(MiniMaxH3PipelineConfig()))
+
+
+def test_checkpoint_step_skips_other_models_and_checkpoints_without_a_schedule(tmp_path):
+    (tmp_path / "fastvideo_inference.json").write_text(json.dumps(CONTRACT))
+    other_model = resolve_generator_config({"model_path": str(tmp_path)},
+                                           (dmd_schedule_checkpoint_step(object()), fill_runtime_defaults))
+    assert other_model.pipeline.dmd_denoising_steps is None
+
+    (tmp_path / "fastvideo_inference.json").unlink()
+    assert _resolve_checkpoint(tmp_path).pipeline.dmd_denoising_steps is None
 
 
 @pytest.mark.parametrize("grid_points", [5, 50])
@@ -179,8 +212,8 @@ def test_base_and_four_forward_schedules_are_unchanged(monkeypatch, tmp_path, gr
     pipeline.initialize_pipeline(resolved_config)
     assert pipeline.modules["scheduler"].shift == 12.0
     assert pipeline.modules["audio_scheduler"].shift == 3.0
-    # Without a sidecar the pipeline keeps the config it was given; a checkpoint schedule would rebind it.
-    assert (getattr(pipeline, "resolved_config", None) or resolved_config).pipeline.dmd_denoising_steps is None
+    # Without a sidecar, resolution leaves the schedule unset and the pipeline accepts that.
+    assert _resolve_checkpoint(tmp_path).pipeline.dmd_denoising_steps is None
     assert config.text_encoder_precisions == ("bf16",)
     stage, calls, _ = _run_tiny_stage(monkeypatch, None, grid_points, video_shift=12.0)
     assert len(calls) == grid_points - 1
@@ -210,7 +243,7 @@ def test_explicit_eight_forward_ladder_requires_nine_grid_points(monkeypatch, gr
 def test_checkpoint_schedule_metadata_must_be_self_consistent(tmp_path, field, value):
     (tmp_path / "fastvideo_inference.json").write_text(json.dumps({**CONTRACT, field: value}))
     with pytest.raises(ValueError):
-        _pipeline(tmp_path).initialize_pipeline(make_resolved_config(MiniMaxH3PipelineConfig()))
+        _pipeline(tmp_path).initialize_pipeline(_with_steps(DMD_STEPS))
 
 
 @pytest.mark.parametrize("module_name", ["scheduler", "audio_scheduler"])
@@ -231,12 +264,13 @@ def test_sidecar_without_shift_fields_uses_the_checkpoint_schedulers(tmp_path):
     four_step.pop("video_scheduler_shift")
     four_step.pop("audio_scheduler_shift")
     (tmp_path / "fastvideo_inference.json").write_text(json.dumps(four_step))
+    resolved_config = _resolve_checkpoint(tmp_path)
+    assert list(resolved_config.pipeline.dmd_denoising_steps) == [999, 749, 500, 250]
     pipeline = _pipeline(tmp_path, video_shift=12.0)
-    pipeline.initialize_pipeline(make_resolved_config(MiniMaxH3PipelineConfig()))
-    assert list(pipeline.resolved_config.pipeline.dmd_denoising_steps) == [999, 749, 500, 250]
+    pipeline.initialize_pipeline(resolved_config)
     assert pipeline.modules["scheduler"].shift == 12.0
     assert pipeline.modules["audio_scheduler"].shift == 3.0
     # Explicit disagreement is still rejected.
     (tmp_path / "fastvideo_inference.json").write_text(json.dumps({**four_step, "video_scheduler_shift": 10.0}))
     with pytest.raises(ValueError, match="disagrees"):
-        _pipeline(tmp_path, video_shift=12.0).initialize_pipeline(make_resolved_config(MiniMaxH3PipelineConfig()))
+        _pipeline(tmp_path, video_shift=12.0).initialize_pipeline(resolved_config)
diff --git a/fastvideo/tests/stages/test_minimax_h3_sequential_start.py b/fastvideo/tests/stages/test_minimax_h3_sequential_start.py
index 16467a61b..e7c7978b0 100644
--- a/fastvideo/tests/stages/test_minimax_h3_sequential_start.py
+++ b/fastvideo/tests/stages/test_minimax_h3_sequential_start.py
@@ -199,7 +199,8 @@ def test_lazy_module_load_owns_deferral_when_both_would_arm(monkeypatch) -> None
 
     monkeypatch.setattr(ComposedPipelineBase, "load_modules", fake_load)
     monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", lambda device_id: True)
-    MiniMaxH3Pipeline("unused/for-this-test", _h3_config(sequential_load=True))
+    # Resolution turns lazy_module_load on for unified memory; the pipeline reads that decision.
+    MiniMaxH3Pipeline("unused/for-this-test", _h3_config(lazy_module_load=True, sequential_load=True))
 
     assert loads == [list(MiniMaxH3Pipeline._required_config_modules)]
     assert all(name in loads[0] for name in _DENOISE_MODULE_NAMES)
diff --git a/fastvideo/tests/worker/test_gpu_worker.py b/fastvideo/tests/worker/test_gpu_worker.py
index d407e7d7f..a8910fec8 100644
--- a/fastvideo/tests/worker/test_gpu_worker.py
+++ b/fastvideo/tests/worker/test_gpu_worker.py
@@ -41,9 +41,9 @@ def test_cuda_device_uuid_receipt_identifies_profiled_worker(monkeypatch, env_ov
 
 
 @pytest.mark.parametrize("executor_backend", ["mp", "ray"])
-def test_init_device_applies_offload_policy_after_binding_worker_device(monkeypatch, env_overrides,
-                                                                        executor_backend: str) -> None:
-    """The runtime probe must see this worker's device, never driver device 0, and the worker keeps its result."""
+def test_init_device_binds_the_worker_device_and_keeps_the_resolved_config(monkeypatch, env_overrides,
+                                                                          executor_backend: str) -> None:
+    """The worker binds its own device and builds the pipeline on the config it received, without a device query."""
     events = []
     with isolated_environment():
         args = resolve_inference_config({
@@ -53,13 +53,8 @@ def test_init_device_applies_offload_policy_after_binding_worker_device(monkeypa
                 "execution_backend": executor_backend
             },
         })
-    decided = args.with_override("test:device_policy", {"engine.offload.lazy_module_load": False})
-
-    def fake_policy(resolved_config, device_id):
-        events.append(("policy", device_id))
-        return decided
-
-    monkeypatch.setattr("fastvideo.worker.gpu_worker.finalize_device_offload_policy", fake_policy)
+    probe = Mock(side_effect=AssertionError("device probe ran in the worker"))
+    monkeypatch.setattr("fastvideo.platforms.current_platform.has_unified_memory", probe)
     worker = Worker(args, local_rank=3, rank=3, distributed_init_method="env://")
 
     env_overrides.enter_context(envs.override_external("LOCAL_RANK", "0"))
@@ -77,23 +72,34 @@ def test_init_device_applies_offload_policy_after_binding_worker_device(monkeypa
 
     assert events == [
         ("set_device", 3),
-        ("policy", 3),
         ("distributed", None),
         ("pipeline", None),
     ]
     assert os.environ["LOCAL_RANK"] == "3"
     assert worker.device == torch.device("cuda:3")
     assert worker.init_gpu_memory == 123
-    assert worker.resolved_config is decided
+    assert worker.resolved_config is args
+    probe.assert_not_called()
 
 
 def _worker_returning(output_batch: ForwardBatch) -> Worker:
     worker = Worker.__new__(Worker)
     worker.resolved_config = SimpleNamespace()
-    worker.pipeline = SimpleNamespace(resolved_config=SimpleNamespace(), forward=lambda batch, args: output_batch)
+    worker.pipeline = SimpleNamespace(forward=lambda batch, args: output_batch)
     return worker
 
 
+def test_execute_forward_runs_the_pipeline_on_the_worker_config():
+    worker = Worker.__new__(Worker)
+    worker.resolved_config = SimpleNamespace()
+    seen = []
+    worker.pipeline = SimpleNamespace(forward=lambda batch, args: seen.append(args) or batch)
+
+    worker.execute_forward(ForwardBatch(data_type="video", return_frames=True), _request_config())
+
+    assert seen == [worker.resolved_config]
+
+
 def _request_config(output_type: str = "pil") -> SimpleNamespace:
     """Stand-in for the request's resolved config with the typed path that ``Worker.execute_forward`` reads."""
     return SimpleNamespace(pipeline=SimpleNamespace(output_type=output_type))
diff --git a/fastvideo/train/callbacks/validation.py b/fastvideo/train/callbacks/validation.py
index d0466a30c..bee45673d 100644
--- a/fastvideo/train/callbacks/validation.py
+++ b/fastvideo/train/callbacks/validation.py
@@ -1381,19 +1381,20 @@ class ValidationCallback(Callback):
         stages read.
         """
         tc = self.training_config
+        validation_pipeline_config = self._validation_pipeline_config(
+            transformer,
+            pipeline.resolved_config.pipeline_config,
+        )
+        dmd_denoising_steps = None
+        if (self.sampling_timesteps is not None
+                and getattr(validation_pipeline_config, "dmd_denoising_steps", None) is None):
+            dmd_denoising_steps = [int(s) for s in self.sampling_timesteps]
         forward_config = build_inference_resolved_config(
             tc,
             model_path=tc.model_path,
-            pipeline_config=self._validation_pipeline_config(
-                transformer,
-                pipeline.resolved_config.pipeline_config,
-            ),
+            pipeline_config=validation_pipeline_config,
+            dmd_denoising_steps=dmd_denoising_steps,
         )
-        if (self.sampling_timesteps is not None and forward_config.pipeline.dmd_denoising_steps is None):
-            forward_config = forward_config.with_override(
-                "validation_callback:sampling_timesteps",
-                {"pipeline.dmd_denoising_steps": [int(s) for s in self.sampling_timesteps]},
-            )
         dit_config = forward_config.pipeline_config.dit_config
         logger.info(
             "Validation forward config: local_attn_size=%s sink_size=%s boundary_ratio=%s",
diff --git a/fastvideo/train/utils/moduleloader.py b/fastvideo/train/utils/moduleloader.py
index 729377e5a..7415bab4b 100644
--- a/fastvideo/train/utils/moduleloader.py
+++ b/fastvideo/train/utils/moduleloader.py
@@ -15,10 +15,7 @@ from fastvideo.api.inference_resolution import (
 )
 from fastvideo.api.resolution import ResolutionStep, ResolvedGeneratorConfig
 from fastvideo.api.schema import ExecutionMode, GeneratorConfig
-from fastvideo.api.training_schema import (
-    resolve_training_offload_conflicts,
-    validate_training_parallel_sizes,
-)
+from fastvideo.api.training_schema import validate_training_parallel_sizes
 from fastvideo.attention.selector import (
     _component_attention_backend_scope,
     coerce_attn_backend,
@@ -90,11 +87,11 @@ def _generator_config_mapping(
 
 
 def _training_resolution_steps(config: GeneratorConfig, defaults: Any) -> tuple[ResolutionStep, ...]:
-    """Generator resolution steps plus the training offload-conflict and parallel-size checks."""
+    """Generator resolution steps plus the training parallel-size check."""
     return generator_resolution_steps(
         config,
         defaults,
-        before_placeholders=(resolve_training_offload_conflicts, validate_training_parallel_sizes),
+        before_placeholders=(validate_training_parallel_sizes, ),
     )
 
 
@@ -132,13 +129,15 @@ def build_inference_resolved_config(
     *,
     model_path: str,
     pipeline_config: PipelineConfig | None = None,
+    dmd_denoising_steps: list[int] | None = None,
 ) -> ResolvedGeneratorConfig:
     """Build the inference-mode resolved config for validation forwards and standalone encoder loads.
 
     It has the training parallel layout, the DiT offloaded to the CPU, every
     other offload off, and ``tc.vsa_sparsity`` as the VSA sparsity.
     ``pipeline_config`` replaces ``tc.pipeline_config`` as the model
-    definition.
+    definition. ``dmd_denoising_steps`` sets ``pipeline.dmd_denoising_steps``,
+    the DMD schedule that the causal and DMD denoising stages read.
     """
     if pipeline_config is None:
         pipeline_config = tc.pipeline_config if tc.pipeline_config is not None else PipelineConfig()
@@ -150,6 +149,8 @@ def build_inference_resolved_config(
     )
     raw["engine"]["offload"]["dit"] = True
     raw["engine"]["attention"] = {"vsa_sparsity": tc.vsa_sparsity}
+    if dmd_denoising_steps is not None:
+        raw["pipeline"]["dmd_denoising_steps"] = list(dmd_denoising_steps)
     return resolve_inference_config(raw)
 
 
diff --git a/fastvideo/training/distillation_pipeline.py b/fastvideo/training/distillation_pipeline.py
index c15b170ca..a2ae915c7 100644
--- a/fastvideo/training/distillation_pipeline.py
+++ b/fastvideo/training/distillation_pipeline.py
@@ -97,19 +97,23 @@ class DistillationPipeline(TrainingPipeline):
         distillation = resolved_config.training.distillation
         # The teacher (real score) and the critic (fake score) load as the base Wan transformer, whatever class the
         # student uses.
-        teacher_critic_config = resolved_config.with_override(
-            "DistillationPipeline.load_modules",
-            {"pipeline.components.override_transformer_cls_name": "WanTransformer3DModel"})
+        teacher_critic_cls_name = "WanTransformer3DModel"
 
         if distillation.real_score_model_path:
             logger.info("Loading real score transformer from: %s", distillation.real_score_model_path)
             # TODO(will): can use deepcopy instead if the model is the same
-            self.real_score_transformer = self.load_module_from_path(distillation.real_score_model_path, "transformer",
-                                                                     teacher_critic_config)
+            self.real_score_transformer = self.load_module_from_path(
+                distillation.real_score_model_path,
+                "transformer",
+                resolved_config,
+                override_transformer_cls_name=teacher_critic_cls_name)
             modules["real_score_transformer"] = self.real_score_transformer
             try:
-                self.real_score_transformer_2 = self.load_module_from_path(distillation.real_score_model_path,
-                                                                           "transformer_2", teacher_critic_config)
+                self.real_score_transformer_2 = self.load_module_from_path(
+                    distillation.real_score_model_path,
+                    "transformer_2",
+                    resolved_config,
+                    override_transformer_cls_name=teacher_critic_cls_name)
                 logger.info("Loaded real score transformer_2 for MoE support")
                 modules["real_score_transformer_2"] = self.real_score_transformer_2
             except Exception:
@@ -120,12 +124,18 @@ class DistillationPipeline(TrainingPipeline):
 
         if distillation.fake_score_model_path:
             logger.info("Loading fake score transformer from: %s", distillation.fake_score_model_path)
-            self.fake_score_transformer = self.load_module_from_path(distillation.fake_score_model_path, "transformer",
-                                                                     teacher_critic_config)
+            self.fake_score_transformer = self.load_module_from_path(
+                distillation.fake_score_model_path,
+                "transformer",
+                resolved_config,
+                override_transformer_cls_name=teacher_critic_cls_name)
             modules["fake_score_transformer"] = self.fake_score_transformer
             try:
-                self.fake_score_transformer_2 = self.load_module_from_path(distillation.fake_score_model_path,
-                                                                           "transformer_2", teacher_critic_config)
+                self.fake_score_transformer_2 = self.load_module_from_path(
+                    distillation.fake_score_model_path,
+                    "transformer_2",
+                    resolved_config,
+                    override_transformer_cls_name=teacher_critic_cls_name)
                 logger.info("Loaded fake score transformer_2 for MoE support")
                 modules["fake_score_transformer_2"] = self.fake_score_transformer_2
             except Exception:
@@ -265,7 +275,11 @@ class DistillationPipeline(TrainingPipeline):
         else:
             logger.info("Generator EMA disabled (ema_decay <= 0.0)")
 
-    def load_module_from_path(self, model_path: str, module_type: str, resolved_config: ResolvedGeneratorConfig):
+    def load_module_from_path(self,
+                              model_path: str,
+                              module_type: str,
+                              resolved_config: ResolvedGeneratorConfig,
+                              override_transformer_cls_name: str | None = None):
         """
         Load a teacher (real score) or critic (fake score) module from a specific path using the same loading logic as
         the pipeline.
@@ -276,6 +290,8 @@ class DistillationPipeline(TrainingPipeline):
             model_path: Path to the model
             module_type: Type of module to load (e.g., "transformer")
             resolved_config: The config to load the module with
+            override_transformer_cls_name: The transformer class to build, over
+                ``pipeline.components.override_transformer_cls_name``
 
         Returns:
             The loaded module
@@ -311,6 +327,7 @@ class DistillationPipeline(TrainingPipeline):
             transformers_or_diffusers=transformers_or_diffusers,
             resolved_config=resolved_config,
             loading_teacher_critic_model=True,
+            override_transformer_cls_name=override_transformer_cls_name,
         )
 
         logger.info("Successfully loaded %s from %s", module_type, component_path)
diff --git a/fastvideo/training/matrixgame2_self_forcing_distillation_pipeline.py b/fastvideo/training/matrixgame2_self_forcing_distillation_pipeline.py
index 2e40e21be..34b1f66fb 100644
--- a/fastvideo/training/matrixgame2_self_forcing_distillation_pipeline.py
+++ b/fastvideo/training/matrixgame2_self_forcing_distillation_pipeline.py
@@ -57,10 +57,7 @@ class MatrixGame2SelfForcingDistillationPipeline(SelfForcingDistillationPipeline
             loaded_modules,
         )
         # The teacher (real score) and critic (fake score) load as the bidirectional MatrixGame2WanModel class.
-        teacher_config = resolved_config.with_override(
-            "MatrixGame2SelfForcingDistillationPipeline.load_modules",
-            {"pipeline.components.override_transformer_cls_name": "MatrixGame2WanModel"},
-        )
+        teacher_cls_name = "MatrixGame2WanModel"
         if loaded_modules is not None and "real_score_transformer" in loaded_modules:
             self.real_score_transformer = loaded_modules["real_score_transformer"]
         elif resolved_config.training.distillation.real_score_model_path:
@@ -71,7 +68,8 @@ class MatrixGame2SelfForcingDistillationPipeline(SelfForcingDistillationPipeline
             self.real_score_transformer = self.load_module_from_path(
                 resolved_config.training.distillation.real_score_model_path,
                 "transformer",
-                teacher_config,
+                resolved_config,
+                override_transformer_cls_name=teacher_cls_name,
             )
         else:
             raise ValueError("real_score_model_path is required for DMD distillation pipeline")
@@ -87,7 +85,8 @@ class MatrixGame2SelfForcingDistillationPipeline(SelfForcingDistillationPipeline
             self.fake_score_transformer = self.load_module_from_path(
                 resolved_config.training.distillation.fake_score_model_path,
                 "transformer",
-                teacher_config,
+                resolved_config,
+                override_transformer_cls_name=teacher_cls_name,
             )
         else:
             raise ValueError("fake_score_model_path is required for DMD distillation pipeline")
diff --git a/fastvideo/worker/gpu_worker.py b/fastvideo/worker/gpu_worker.py
index f4a1f7bb3..ab9a9e59b 100644
--- a/fastvideo/worker/gpu_worker.py
+++ b/fastvideo/worker/gpu_worker.py
@@ -4,7 +4,6 @@ from typing import Any, cast
 import torch
 
 import fastvideo.envs as envs
-from fastvideo.api.device_policy import finalize_device_offload_policy
 from fastvideo.api.resolution import ResolvedGeneratorConfig
 from fastvideo.distributed import (cleanup_dist_env_and_memory, maybe_init_distributed_environment_and_model_parallel)
 from fastvideo.distributed.parallel_state import get_local_torch_device
@@ -80,13 +79,6 @@ class Worker:
             # For MPS, we can't get memory info the same way
             self.init_gpu_memory = 0
 
-        # CUDA's unified-memory classification reads runtime device
-        # properties, so make this decision only after this worker has bound
-        # its own device. The worker keeps the config that the policy returns,
-        # and every loader and pipeline stage below consumes it.
-        device_id = self.device.index if self.device.index is not None else 0
-        self.resolved_config = finalize_device_offload_policy(self.resolved_config, device_id)
-
         # Initialize the distributed environment.
         maybe_init_distributed_environment_and_model_parallel(self.resolved_config.engine.parallelism.tp_size,
                                                               self.resolved_config.engine.parallelism.sp_size,
@@ -95,8 +87,7 @@ class Worker:
         self.pipeline = build_pipeline(self.resolved_config)
 
     def execute_forward(self, forward_batch: ForwardBatch, resolved_config: ResolvedGeneratorConfig) -> ForwardBatch:
-        # The pipeline's config carries the overrides that the pipeline made from its checkpoint.
-        output_batch = self.pipeline.forward(forward_batch, self.pipeline.resolved_config)
+        output_batch = self.pipeline.forward(forward_batch, self.resolved_config)
         needs_output = forward_batch.return_frames or (forward_batch.save_video
                                                        and resolved_config.pipeline.output_type != "latent"
                                                        and not output_batch.extra.get("audio_only"))
diff --git a/tests/local_tests/flux2/README.md b/tests/local_tests/flux2/README.md
index 7ee014d06..aad931e50 100644
--- a/tests/local_tests/flux2/README.md
+++ b/tests/local_tests/flux2/README.md
@@ -83,7 +83,7 @@ pytest tests/local_tests/flux2/test_flux2_component_parity.py::test_flux2_mistra
 | Full pipeline smoke | [`../pipelines/test_flux2_pipeline_smoke.py`](../pipelines/test_flux2_pipeline_smoke.py) | Full Flux2 Mistral3/AutoProcessor wiring; short latent generate | `PASSED on Modal L40S:2` |
 | Pipeline parity | [`../pipelines/test_flux2_pipeline_parity.py`](../pipelines/test_flux2_pipeline_parity.py) | Four-step denoised latent parity vs `diffusers.Flux2KleinPipeline` | `PASSED on Modal L40S` |
 | Full pipeline parity | [`../pipelines/test_flux2_pipeline_parity.py`](../pipelines/test_flux2_pipeline_parity.py) | Short full Flux2 latent parity vs `diffusers.Flux2Pipeline` | `PASSED on Modal L40S:2, L40S:4, and H100:1` |
-| Pipeline TP2 parity | [`../pipelines/test_flux2_pipeline_parity.py`](../pipelines/test_flux2_pipeline_parity.py) | Two-worker tensor-parallel load/generate with `num_gpus=2`, `tp_size=2`, `sp_size=1` | `PASSED on Modal L40S:2` |
+| Pipeline TP2 parity | [`../pipelines/test_flux2_pipeline_parity.py`](../pipelines/test_flux2_pipeline_parity.py) | Two-worker tensor-parallel load/generate with `engine.num_gpus: 2`, `tp_size=2`, `sp_size=1` | `PASSED on Modal L40S:2` |
 | Pixel image comparison | Modal image runner | Same-prompt Diffusers vs FastVideo PNG generation and pixel metrics | `PASSED on Modal L40S` |
 
 ## Latest Remote Evidence
@@ -116,7 +116,7 @@ Flux2 modal L40S:2 statuses: component=0 smoke=0 pipeline=0
 ```
 
 The `L40S:2` run verifies the same parity suite in a two-GPU Modal allocation.
-These tests currently instantiate FastVideo with `num_gpus=1`, so this is not a
+These tests currently instantiate FastVideo with `engine.num_gpus: 1`, so this is not a
 tensor-parallel two-GPU parity test.
 
 Additional Modal `L40S:4` allocation run `ap-tQEUnFr00uOvpMZdOngebQ` applied
@@ -132,7 +132,7 @@ Flux2 modal L40S:4 statuses: component=0 smoke=0 pipeline=0
 
 Modal `L40S:2` tensor-parallel run `ap-szNgcJRiUv11lmmNFvjjPT` applied patch
 `patches/flux2-local-tp2-c850fcad.patch`, confirmed two visible L40S devices,
-and instantiated FastVideo with `num_gpus=2`, `tp_size=2`, `sp_size=1`,
+and instantiated FastVideo with `engine.num_gpus: 2`, `tp_size=2`, `sp_size=1`,
 `executor_world_size=2`.
 
 ```text
@@ -172,7 +172,7 @@ tests/local_tests/pipelines/test_flux2_pipeline_parity.py -v -s: 2 passed
 The pipeline parity file covered both strict single-GPU latent parity and true
 TP2 latent parity. The strict path reported zero max/mean/median diff for all
 four trajectory steps and final latents. The TP2 path instantiated FastVideo
-with `num_gpus=2`, `tp_size=2`, `sp_size=1`, and `executor_world_size=2`.
+with `engine.num_gpus: 2`, `tp_size=2`, `sp_size=1`, and `executor_world_size=2`.
 
 ```text
 TP2 final diff max=2.107544 mean=0.020110 median=0.015625
@@ -231,7 +231,7 @@ Current-session Modal evidence:
   `0.062500`, mean `0.008581`, median `0.007812`; only `9/8192` latent entries
   hit the max bucket.
 - Modal `L40S:4` run `ap-KKOzv9THDmTYt3gevhQkVR` passed full pipeline latent
-  parity with true TP4 (`num_gpus=4`, `tp_size=4`, `sp_size=1`). Final latent
+  parity with true TP4 (`engine.num_gpus: 4`, `tp_size=4`, `sp_size=1`). Final latent
   diff max stayed `0.062500`, mean was `0.007946`, and median was `0.007812`.
 - Modal `L40S:4` diagnostic run `ap-SlhykTTLxzsYxnsCUbCH7S` reproduced the TP4
   result with max `0.062500`, mean `0.007946`, median `0.007812`; only `6/8192`
diff --git a/tests/local_tests/gamecraft/test_gamecraft_pipeline_parity.py b/tests/local_tests/gamecraft/test_gamecraft_pipeline_parity.py
index fbe9cb4a7..7955306b6 100644
--- a/tests/local_tests/gamecraft/test_gamecraft_pipeline_parity.py
+++ b/tests/local_tests/gamecraft/test_gamecraft_pipeline_parity.py
@@ -330,12 +330,18 @@ def test_gamecraft_pipeline_latent_parity():
     # Create generator
     generator = VideoGenerator.from_pretrained(
         diffusers_path,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=True,  # Save memory
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": True,  # Save memory
+                    "text_encoder": True,
+                    "pin_cpu_memory": False,
+                },
+            },
+        },
     )
 
     # Run generation
@@ -481,12 +487,18 @@ def test_gamecraft_pipeline_smoke():
 
     generator = VideoGenerator.from_pretrained(
         diffusers_path,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=True,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": True,
+                    "vae": True,
+                    "text_encoder": True,
+                    "pin_cpu_memory": False,
+                },
+            },
+        },
     )
 
     result = generator.generate({
diff --git a/tests/local_tests/gen3c/test_gen3c_pipeline_smoke.py b/tests/local_tests/gen3c/test_gen3c_pipeline_smoke.py
index 23c77a1ec..a692597a0 100644
--- a/tests/local_tests/gen3c/test_gen3c_pipeline_smoke.py
+++ b/tests/local_tests/gen3c/test_gen3c_pipeline_smoke.py
@@ -214,11 +214,17 @@ def test_gen3c_full_pipeline_smoke():
 
     generator = VideoGenerator.from_pretrained(
         diffusers_path,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": False,
+                },
+            },
+        },
     )
     result = generator.generate({
         "prompt": prompt,
diff --git a/tests/local_tests/glm_image/test_edit_pipeline_parity.py b/tests/local_tests/glm_image/test_edit_pipeline_parity.py
index df8a4fbb6..fbec083f9 100644
--- a/tests/local_tests/glm_image/test_edit_pipeline_parity.py
+++ b/tests/local_tests/glm_image/test_edit_pipeline_parity.py
@@ -98,7 +98,15 @@ def _fastvideo_edit_image(device) -> np.ndarray:
     except ImportError as e:
         pytest.skip(f"FastVideo VideoGenerator unavailable: {e}")
     condition = Image.open(CONDITION_IMAGE).convert("RGB")
-    gen = VideoGenerator.from_pretrained(str(LOCAL_WEIGHTS_DIR), num_gpus=1, trust_remote_code=True)
+    gen = VideoGenerator.from_pretrained(
+        str(LOCAL_WEIGHTS_DIR),
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+            "trust_remote_code": True,
+        },
+    )
     result = gen.generate({
         "prompt": EDIT_PROMPT,
         "inputs": {"pil_image": condition},
diff --git a/tests/local_tests/glm_image/test_pipeline_parity.py b/tests/local_tests/glm_image/test_pipeline_parity.py
index bd83d7625..9be0406ff 100644
--- a/tests/local_tests/glm_image/test_pipeline_parity.py
+++ b/tests/local_tests/glm_image/test_pipeline_parity.py
@@ -200,7 +200,15 @@ def _fastvideo_image(device) -> np.ndarray:
         from fastvideo import VideoGenerator
     except ImportError as e:
         pytest.skip(f"FastVideo VideoGenerator unavailable: {e}")
-    gen = VideoGenerator.from_pretrained(str(LOCAL_WEIGHTS_DIR), num_gpus=1, trust_remote_code=True)
+    gen = VideoGenerator.from_pretrained(
+        str(LOCAL_WEIGHTS_DIR),
+        {
+            "engine": {
+                "num_gpus": 1,
+            },
+            "trust_remote_code": True,
+        },
+    )
     result = gen.generate({
         "prompt": SAMPLE_PROMPT,
         "sampling": {
diff --git a/tests/local_tests/magi_human/test_magi_human_pipeline_smoke.py b/tests/local_tests/magi_human/test_magi_human_pipeline_smoke.py
index c4a8715e4..d1ef79e5d 100644
--- a/tests/local_tests/magi_human/test_magi_human_pipeline_smoke.py
+++ b/tests/local_tests/magi_human/test_magi_human_pipeline_smoke.py
@@ -212,11 +212,17 @@ def test_magi_human_pipeline_smoke() -> None:
 
     generator = VideoGenerator.from_pretrained(
         diffusers_path,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": False,
+                },
+            },
+        },
     )
     try:
         result = generator.generate({
diff --git a/tests/local_tests/pipelines/test_lingbot_video_pipeline_smoke.py b/tests/local_tests/pipelines/test_lingbot_video_pipeline_smoke.py
index 7325f060d..e0d8696e1 100644
--- a/tests/local_tests/pipelines/test_lingbot_video_pipeline_smoke.py
+++ b/tests/local_tests/pipelines/test_lingbot_video_pipeline_smoke.py
@@ -146,15 +146,25 @@ def test_lingbot_video_pipeline_load_generate_smoke(tmp_path: Path) -> None:
     )
     generator = VideoGenerator.from_pretrained(
         str(model_dir),
-        num_gpus=num_gpus,
-        sp_size=sp_size,
-        use_fsdp_inference=use_fsdp_inference,
-        dit_cpu_offload=False,
-        dit_layerwise_offload=False,
-        vae_cpu_offload=True,
-        text_encoder_cpu_offload=True,
-        pin_cpu_memory=False,
-        output_type="latent",
+        {
+            "engine": {
+                "num_gpus": num_gpus,
+                "parallelism": {
+                    "sp_size": sp_size,
+                },
+                "use_fsdp_inference": use_fsdp_inference,
+                "offload": {
+                    "dit": False,
+                    "dit_layerwise": False,
+                    "vae": True,
+                    "text_encoder": True,
+                    "pin_cpu_memory": False,
+                },
+            },
+            "pipeline": {
+                "output_type": "latent",
+            },
+        },
     )
     try:
         result = generator.generate({
diff --git a/tests/local_tests/pipelines/test_zimage_pipeline_parity.py b/tests/local_tests/pipelines/test_zimage_pipeline_parity.py
index ecf61b175..851d55d27 100644
--- a/tests/local_tests/pipelines/test_zimage_pipeline_parity.py
+++ b/tests/local_tests/pipelines/test_zimage_pipeline_parity.py
@@ -290,16 +290,26 @@ def test_zimage_pipeline_latents_match_pinned_native_repo(tmp_path: Path) -> Non
 
         generator = VideoGenerator.from_pretrained(
             str(MODEL_DIR),
-            num_gpus=1,
-            tp_size=1,
-            sp_size=1,
-            use_fsdp_inference=False,
-            dit_cpu_offload=False,
-            dit_layerwise_offload=False,
-            text_encoder_cpu_offload=False,
-            vae_cpu_offload=False,
-            pin_cpu_memory=False,
-            output_type="latent",
+            {
+                "engine": {
+                    "num_gpus": 1,
+                    "parallelism": {
+                        "tp_size": 1,
+                        "sp_size": 1,
+                    },
+                    "use_fsdp_inference": False,
+                    "offload": {
+                        "dit": False,
+                        "dit_layerwise": False,
+                        "text_encoder": False,
+                        "vae": False,
+                        "pin_cpu_memory": False,
+                    },
+                },
+                "pipeline": {
+                    "output_type": "latent",
+                },
+            },
         )
         try:
             result = generator.generate({
diff --git a/tests/local_tests/pipelines/test_zimage_pipeline_smoke.py b/tests/local_tests/pipelines/test_zimage_pipeline_smoke.py
index 50546c072..3d0dd1fda 100644
--- a/tests/local_tests/pipelines/test_zimage_pipeline_smoke.py
+++ b/tests/local_tests/pipelines/test_zimage_pipeline_smoke.py
@@ -115,16 +115,26 @@ def test_zimage_pipeline_load_generate_smoke() -> None:
 
     generator = VideoGenerator.from_pretrained(
         str(model_dir),
-        num_gpus=1,
-        tp_size=1,
-        sp_size=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        dit_layerwise_offload=False,
-        text_encoder_cpu_offload=False,
-        vae_cpu_offload=False,
-        pin_cpu_memory=False,
-        output_type="latent",
+        {
+            "engine": {
+                "num_gpus": 1,
+                "parallelism": {
+                    "tp_size": 1,
+                    "sp_size": 1,
+                },
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "dit_layerwise": False,
+                    "text_encoder": False,
+                    "vae": False,
+                    "pin_cpu_memory": False,
+                },
+            },
+            "pipeline": {
+                "output_type": "latent",
+            },
+        },
     )
     try:
         result = generator.generate({
diff --git a/tests/local_tests/stable_audio/test_stable_audio_a2a_parity.py b/tests/local_tests/stable_audio/test_stable_audio_a2a_parity.py
index 920b4a9cb..a2f2cbf8b 100644
--- a/tests/local_tests/stable_audio/test_stable_audio_a2a_parity.py
+++ b/tests/local_tests/stable_audio/test_stable_audio_a2a_parity.py
@@ -113,11 +113,17 @@ def test_stable_audio_a2a_official_parity():
     from fastvideo import VideoGenerator
     generator = VideoGenerator.from_pretrained(
         _FV_REPO_ID,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": False,
+                },
+            },
+        },
     )
     try:
         result = generator.generate({
diff --git a/tests/local_tests/stable_audio/test_stable_audio_inpaint_parity.py b/tests/local_tests/stable_audio/test_stable_audio_inpaint_parity.py
index 6753fbeda..ac9146ee2 100644
--- a/tests/local_tests/stable_audio/test_stable_audio_inpaint_parity.py
+++ b/tests/local_tests/stable_audio/test_stable_audio_inpaint_parity.py
@@ -69,11 +69,17 @@ def test_stable_audio_inpaint_kept_region_preserved():
     from fastvideo import VideoGenerator
     generator = VideoGenerator.from_pretrained(
         _FV_REPO_ID,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": False,
+                },
+            },
+        },
     )
     try:
         result = generator.generate({
diff --git a/tests/local_tests/stable_audio/test_stable_audio_pipeline_parity.py b/tests/local_tests/stable_audio/test_stable_audio_pipeline_parity.py
index 2ef2675f1..8a91b64c3 100644
--- a/tests/local_tests/stable_audio/test_stable_audio_pipeline_parity.py
+++ b/tests/local_tests/stable_audio/test_stable_audio_pipeline_parity.py
@@ -161,11 +161,17 @@ def test_stable_audio_pipeline_official_parity():
     from fastvideo import VideoGenerator
     generator = VideoGenerator.from_pretrained(
         _FV_REPO_ID,
-        num_gpus=1,
-        use_fsdp_inference=False,
-        dit_cpu_offload=False,
-        vae_cpu_offload=False,
-        text_encoder_cpu_offload=False,
+        {
+            "engine": {
+                "num_gpus": 1,
+                "use_fsdp_inference": False,
+                "offload": {
+                    "dit": False,
+                    "vae": False,
+                    "text_encoder": False,
+                },
+            },
+        },
     )
     try:
         result = generator.generate({