diff --git a/docs/inference/support_matrix.md b/docs/inference/support_matrix.md
index 7017e11a8..d0eec1564 100644
--- a/docs/inference/support_matrix.md
+++ b/docs/inference/support_matrix.md
@@ -58,8 +58,8 @@ pipeline initialization and sampling.
 | FastWan2.1 T2V 1.3B | `FastVideo/FastWan2.1-T2V-1.3B-Diffusers` | 480P | ⭕ | ⭕ | ⭕ | ✅ | ⭕ |
 | FastWan2.2 TI2V 5B Full Attn* | `FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers` | 720P | ⭕ | ⭕ | ⭕ | ✅ | ⭕ |
 | Wan2.2 TI2V 5B | `Wan-AI/Wan2.2-TI2V-5B-Diffusers` | 720P | ⭕ | ⭕ | ✅ | ⭕ | ⭕ |
-| DreamX-World 5B Cam | `GD-ML/DreamX-World-5B-Cam` | 480P | ⭕ | ⭕ | ⭕ | ⭕ | ⭕ |
-| DreamX-World 5B AR | `GD-ML/DreamX-World-5B` | 704px1280p | ⭕ | ⭕ | ⭕ | ⭕ | ⭕ |
+| DreamX-World 5B Cam | `FastVideo/DreamX-World-5B-Cam-Diffusers` | 480P | ⭕ | ⭕ | ⭕ | ⭕ | ⭕ |
+| DreamX-World 5B AR | `FastVideo/DreamX-World-5B-Diffusers` | 704px1280p | ⭕ | ⭕ | ⭕ | ⭕ | ⭕ |
 | Lucy Edit Dev 5B*** | `decart-ai/Lucy-Edit-Dev` | 480P | ⭕ | ⭕ | ⭕ | ⭕ | ⭕ |
 | Wan2.2 T2V A14B | `Wan-AI/Wan2.2-T2V-A14B-Diffusers` | 480P<br>720P | ❌ | ❌ | ✅ | ⭕ | ⭕ |
 | Wan2.2 I2V A14B | `Wan-AI/Wan2.2-I2V-A14B-Diffusers` | 480P<br>720P | ❌ | ❌ | ✅ | ⭕ | ⭕ |
diff --git a/examples/inference/basic/basic_dreamx_world.py b/examples/inference/basic/basic_dreamx_world.py
index 990d8ca97..361fbf37c 100644
--- a/examples/inference/basic/basic_dreamx_world.py
+++ b/examples/inference/basic/basic_dreamx_world.py
@@ -1,3 +1,10 @@
+"""DreamX-World-5B-Cam camera-controlled video generation.
+
+Uses the pre-converted Diffusers checkpoint FastVideo/DreamX-World-5B-Cam-Diffusers.
+To convert the raw GD-ML/DreamX-World-5B-Cam checkpoint yourself, see
+scripts/checkpoint_conversion/dreamx_world_to_diffusers.py.
+"""
+
 import os
 
 from fastvideo import VideoGenerator
@@ -15,7 +22,7 @@ def _env_float(name: str, default: float) -> float:
 
 
 def main():
-    model_name = os.getenv("DREAMX_WORLD_MODEL_DIR", "GD-ML/DreamX-World-5B-Cam")
+    model_name = os.getenv("DREAMX_WORLD_MODEL_DIR", "FastVideo/DreamX-World-5B-Cam-Diffusers")
     generator = VideoGenerator.from_pretrained(
         model_name,
         num_gpus=1,
@@ -24,7 +31,6 @@ def main():
         vae_cpu_offload=True,
         text_encoder_cpu_offload=True,
         pin_cpu_memory=False,
-        override_pipeline_cls_name="DreamXWorldPipeline",
     )
 
     prompt = os.getenv(
diff --git a/fastvideo/registry.py b/fastvideo/registry.py
index e13bb2209..e2f289b79 100644
--- a/fastvideo/registry.py
+++ b/fastvideo/registry.py
@@ -780,13 +780,15 @@ def _register_configs() -> None:
         pipeline_config_cls=DreamXWorld5BCamPipelineConfig,
         workload_types=(WorkloadType.I2V, ),
         hf_model_paths=[
-            "GD-ML/DreamX-World-5B-Cam",
+            "FastVideo/DreamX-World-5B-Cam-Diffusers",
         ],
         model_detectors=[
-            # Mutually exclusive with the AR detector below: Cam requires an
-            # explicit "cam" marker so hyphenated AR local paths (e.g.
-            # /ckpts/dreamx-world-5b-converted) don't first-match here —
-            # detector resolution is first-match in registration order.
+            # Pattern also catches the raw GD-ML/DreamX-World-5B-Cam id and
+            # local converted dirs. Mutually exclusive with the AR detector
+            # below: Cam requires an explicit "cam" marker so hyphenated AR
+            # local paths (e.g. /ckpts/dreamx-world-5b-converted) don't
+            # first-match here — detector resolution is first-match in
+            # registration order.
             lambda path:
             ("dreamx-world" in path.lower() and "cam" in path.lower()) or "dreamxworldpipeline" in path.lower()
         ],
@@ -798,7 +800,7 @@ def _register_configs() -> None:
         pipeline_config_cls=DreamXWorld5BARPipelineConfig,
         workload_types=(WorkloadType.I2V, ),
         hf_model_paths=[
-            "GD-ML/DreamX-World-5B",
+            "FastVideo/DreamX-World-5B-Diffusers",
         ],
         model_detectors=[
             lambda path:
diff --git a/tests/local_tests/dreamx_world/test_dreamx_world_ar_transformer_parity.py b/tests/local_tests/dreamx_world/test_dreamx_world_ar_transformer_parity.py
index 70c011733..312c7832f 100644
--- a/tests/local_tests/dreamx_world/test_dreamx_world_ar_transformer_parity.py
+++ b/tests/local_tests/dreamx_world/test_dreamx_world_ar_transformer_parity.py
@@ -26,6 +26,7 @@ from fastvideo.models.loader.weight_utils import resolve_safetensors_files, safe
 REPO_ROOT = Path(__file__).resolve().parents[3]
 OFFICIAL_REF_DIR = Path(os.getenv("DREAMX_WORLD_OFFICIAL_REF_DIR", REPO_ROOT / "DreamX-World"))
 CONVERTED_AR_DIR = Path(os.getenv("DREAMX_WORLD_AR_CONVERTED_DIR", "/tmp/converted_dreamx_world_ar"))
+CONVERTED_AR_HF_REPO = "FastVideo/DreamX-World-5B-Diffusers"
 PARITY_SCOPE = "both"
 
 
@@ -161,7 +162,10 @@ def test_dreamx_world_ar_5b_config_matches_official_shape():
 def test_dreamx_world_ar_converted_5b_transformer_strict_loads():
     transformer_dir = CONVERTED_AR_DIR / "transformer"
     if not transformer_dir.exists():
-        pytest.skip(f"Converted AR transformer missing: {transformer_dir}")
+        # No local conversion: pull the published Diffusers transformer from the hub.
+        from huggingface_hub import snapshot_download
+
+        transformer_dir = Path(snapshot_download(CONVERTED_AR_HF_REPO, allow_patterns=["transformer/*"])) / "transformer"
     with torch.device("meta"):
         model = DreamXWorldARTransformer3DModel(make_dreamx_world_5b_ar_dit_config(), {})
     incompatible = load_model_from_full_model_state_dict(
diff --git a/tests/local_tests/dreamx_world/test_dreamx_world_transformer_parity.py b/tests/local_tests/dreamx_world/test_dreamx_world_transformer_parity.py
index fff655317..b4f9e3e8a 100644
--- a/tests/local_tests/dreamx_world/test_dreamx_world_transformer_parity.py
+++ b/tests/local_tests/dreamx_world/test_dreamx_world_transformer_parity.py
@@ -38,6 +38,7 @@ OFFICIAL_REF_DIR = Path(os.getenv("DREAMX_WORLD_OFFICIAL_REF_DIR", REPO_ROOT / "
 LOCAL_WEIGHTS_DIR = Path(os.getenv("DREAMX_WORLD_LOCAL_WEIGHTS_DIR", REPO_ROOT / "official_weights" / "dreamx_world"))
 WAN_BASE_DIR = Path(os.getenv("DREAMX_WORLD_WAN_BASE_DIR", REPO_ROOT / "official_weights" / "Wan2.2-TI2V-5B"))
 CONVERTED_WEIGHTS_DIR = Path(os.getenv("DREAMX_WORLD_CONVERTED_WEIGHTS_DIR", REPO_ROOT / "converted_weights" / "dreamx_world"))
+CONVERTED_HF_REPO = "FastVideo/DreamX-World-5B-Cam-Diffusers"
 PARITY_SCOPE = "both"
 
 
@@ -130,7 +131,10 @@ def _load_fastvideo_transformer(device: torch.device, dtype: torch.dtype) -> tor
 def _load_fastvideo_transformer_strict(device: torch.device, dtype: torch.dtype) -> torch.nn.Module:
     transformer_dir = CONVERTED_WEIGHTS_DIR / "transformer"
     if not transformer_dir.exists():
-        pytest.skip(f"Converted DreamX transformer missing: {transformer_dir}")
+        # No local conversion: pull the published Diffusers transformer from the hub.
+        from huggingface_hub import snapshot_download
+
+        transformer_dir = Path(snapshot_download(CONVERTED_HF_REPO, allow_patterns=["transformer/*"])) / "transformer"
     safetensors_files = resolve_safetensors_files(str(transformer_dir))
     config = make_dreamx_world_5b_cam_dit_config()
     import fastvideo.models.dits.dreamx_world as fastvideo_dreamx
diff --git a/tests/local_tests/pipelines/test_dreamx_world_pipeline_parity.py b/tests/local_tests/pipelines/test_dreamx_world_pipeline_parity.py
index ce839132d..d2ed7d8ee 100644
--- a/tests/local_tests/pipelines/test_dreamx_world_pipeline_parity.py
+++ b/tests/local_tests/pipelines/test_dreamx_world_pipeline_parity.py
@@ -20,7 +20,8 @@ from torch.testing import assert_close
 
 os.environ.setdefault("FASTVIDEO_ATTENTION_BACKEND", "TORCH_SDPA")
 
-MODEL_DIR = Path(os.getenv("DREAMX_WORLD_MODEL_DIR", "converted_weights/dreamx_world"))
+# Local converted dir or HF repo id; the loader downloads hub ids itself.
+MODEL_DIR = os.getenv("DREAMX_WORLD_MODEL_DIR", "FastVideo/DreamX-World-5B-Cam-Diffusers")
 
 
 pytestmark = pytest.mark.skipif(
@@ -68,9 +69,6 @@ def _close_generator(generator: Any) -> None:
 
 
 def test_dreamx_world_one_step_pipeline_latent_matches_manual_pass() -> None:
-    if not MODEL_DIR.exists():
-        pytest.fail(f"DreamX-World converted model directory is missing: {MODEL_DIR}")
-
     from fastvideo import VideoGenerator
     common_kwargs = dict(
         prompt="a quiet road through a futuristic city at sunrise",
@@ -88,7 +86,7 @@ def test_dreamx_world_one_step_pipeline_latent_matches_manual_pass() -> None:
     )
 
     generator = VideoGenerator.from_pretrained(
-        str(MODEL_DIR),
+        MODEL_DIR,
         num_gpus=1,
         use_fsdp_inference=False,
         dit_cpu_offload=False,
diff --git a/tests/local_tests/pipelines/test_dreamx_world_pipeline_smoke.py b/tests/local_tests/pipelines/test_dreamx_world_pipeline_smoke.py
index bd956bdcd..92b2a9f7b 100644
--- a/tests/local_tests/pipelines/test_dreamx_world_pipeline_smoke.py
+++ b/tests/local_tests/pipelines/test_dreamx_world_pipeline_smoke.py
@@ -13,7 +13,8 @@ from PIL import Image, ImageDraw
 
 os.environ.setdefault("FASTVIDEO_ATTENTION_BACKEND", "TORCH_SDPA")
 
-MODEL_DIR = Path(os.getenv("DREAMX_WORLD_MODEL_DIR", "converted_weights/dreamx_world"))
+# Local converted dir or HF repo id; the loader downloads hub ids itself.
+MODEL_DIR = os.getenv("DREAMX_WORLD_MODEL_DIR", "FastVideo/DreamX-World-5B-Cam-Diffusers")
 
 
 
@@ -113,16 +114,13 @@ def test_dreamx_world_camera_stage_writes_y_camera() -> None:
 
 
 def test_dreamx_world_pipeline_load_generate_latent_smoke(tmp_path: Path) -> None:
-    if not MODEL_DIR.exists():
-        pytest.fail(f"DreamX-World converted model directory is missing: {MODEL_DIR}")
-
     from fastvideo import VideoGenerator
 
     image_path = tmp_path / "dreamx_world_smoke_input.png"
     _write_smoke_image(image_path)
 
     generator = VideoGenerator.from_pretrained(
-        str(MODEL_DIR),
+        MODEL_DIR,
         num_gpus=1,
         use_fsdp_inference=False,
         dit_cpu_offload=False,