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hao-ai-lab-FastVideo/examples
Will Lin d891771ba3 [revert] v2: drop FastWan/VSA registry entries — generic Wan loader can't map their gated-attn params
GPU verification (Wan2.1-Fun... no: FastWan2.1-T2V-1.3B) failed at load: 'Parameter blocks.0.to_gate_compress.bias
not found in custom model state dict' — the FastVideo/* DMD-distilled checkpoints carry gated-attention
params (to_gate_compress) that the generic WanTransformer3DModel loader can't map. v2/registry.py's
select_by_architecture ALREADY rejects WanDMDPipeline for exactly this reason; my explicit ModelEntry
wrongly bypassed it. Reverted FastWan (1.3B + 14B-480P) and the unverified VSA-14B alias (same FastVideo/*
risk). Kept the official Wan2.1-T2V-14B (standard weights, same loader path as the GPU-verified 1.3B).

Lesson recorded in V2_PORTING_STATUS.md: FastWan/Turbo/VSA need a param-mapping fix (like LTX-2.3 did),
not just a schedule — bucket-C-effort. GPU-verify every port before claiming support. CPU mini 211/2.
2026-07-04 17:15:34 +00:00
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