- Guardrail install points to ifm-ai/pan2-guardrail, as in the vLLM-Omni and Diffusers ports.
- The basic example runs the release's own text-to-video structured caption (10 s, 241 frames) instead of a plain prompt.
- Docs and the flow-shift comment name the release checkpoint IFM/PAN2; the docs and cookbook no longer describe its release status or the parity tests' checkpoint.
- FASTVIDEO_FA4 is set only while the PAN2 pipeline loads, instead of for the rest of the process.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
An empty negative prompt now selects the release's structured negative caption with its time ranges set to the
clip's duration, as the reference sampler does; a single space still gives the empty unconditional prompt.
The serving config and cookbook now say guidance 2.5, matching the presets.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- fastvideo-kernel/wan22_vae_decode: the Wan2.2 (TI2V-5B) VAE decoder on sm_100a / sm_103a at 704x1248, built on
first use against fastvideo-kernel's CUTLASS submodule. It frees intermediates early and carries 4 latent frames
per pass: a 5 s video peaks at 20.3 GiB, down from 94.6 GiB in the kernel's first version, with the same output.
- WanVAEConfig.decode_kernel routes AutoencoderKLWan.decode through it where it applies (bf16 with fp32
accumulation, about 7x faster than the fp32 decode on a B300, PSNR 61-63 dB, SSIM 0.998 against it);
decode_kernel_parallel splits the decode over the sequence-parallel group (2, 4 or 8 GPUs) and broadcasts the
video, with the ranks agreeing on whether every one of them could build the kernel.
- PAN2's DiT runs fused Triton kernels for Q/K RMSNorm + RoPE and LayerNorm + modulation (pan2_fusions,
set_fused_kernels).
- PAN2PipelineConfig turns all three on (vae_decode_kernel, vae_decode_kernel_parallel, dit_fused_kernels).
- VideoGenerator copies a decoded RGB video's frames to the host once instead of once per frame.
- The PAN2 presets sample at guidance 2.5, the reference launcher's default since 2026-10-23.
For n > 1, the image endpoints returned one preview grid instead of n images.
The endpoints now run one model batch, save each decoded sample as its own file,
and return one URL or base64 item for each image. This applies to generations
and edits.
A keyword-only return_samples field (default False) is added to OutputConfig,
SamplingParam and ForwardBatch. Batched image requests set it and do not build
preview frames. The worker keeps the sample tensor for these requests, and
non-output ranks clear the field. Defaults and positional arguments do not
change.
The image endpoints now validate size, output format and count before they
create output directories, save uploads or start generation. An invalid value
returns HTTP 400. Omitted or null values keep their defaults.
Behavior change: an explicit empty size or output format, and a count outside
1-10, now return HTTP 400. Before, the server replaced them with defaults or
clamped the count.
The OpenAI image endpoint defaults to a .jpg output path, but the shared
output-path helper treated every non-PNG image path as a directory, so JPEG and
WebP requests were written somewhere other than where the endpoint read them.
Recognized PNG/JPEG/WebP extensions are now preserved, and existing directories
are checked first so a directory named e.g. renders.jpg still receives its
output inside it. Collision handling and filename sanitization are unchanged.
Accept the causal-VAE-aligned 362-frame bucket (15.083 s) for 15-second H3 requests.
- Hoist MINIMAX_H3_MIN/MAX_ALIGNED_FRAMES next to align_num_frames and reuse them in the CUDA stage, the MLX runtime, and the LoRA example so the bound is consistent across entry points.
- State the accepted frame range in the error messages.
- Cover seconds="15" -> 362 at OpenAI admission and the MLX resolve_geometry bound.
- Update the Spark/openai cookbook frame caps from 345 to 362.
Known gaps: no GPU-lane coverage for the 362 bucket (SSIM runs 124 frames; the golden gate is a fixed-geometry fingerprint), and explicit num_frames=360 still hits the pre-existing grid gate.
