[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.
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@@ -57,6 +57,12 @@ Wan2.1 model — covered by wan21; those runtime modes are out of scope.
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## Backlog — goal: port ALL fastvideo models (63 total: 8 ported · 21 reuse-arch · 34 new-arch)
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Ported (8): the 7 above + **Wan2.1-T2V-14B** (bucket B — reuses the Wan recipe/adapter; 720p defaults).
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⚠️ Not as trivial as the bucket split implies: the `FastVideo/*` distilled checkpoints (FastWan DMD, VSA,
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Turbo) carry **gated-attention params** (`to_gate_compress`) the generic `WanTransformer3DModel` loader
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can't map (`select_by_architecture` already rejects `WanDMDPipeline` for this) — they need a param-mapping
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fix (as LTX-2.3 did) on top of the few-step schedule, so they're really bucket-C-effort. GPU-verify each
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port before claiming support.
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**Bucket B (21 left) — reuse a v2 architecture** (`WanTransformer3DModel` / `CausalWanTransformer3DModel` /
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`LTX2Transformer3DModel`): a `ModelEntry` in `v2/registry.py` + a recipe (parameterize the wan21/wan_causal/
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ltx2 builders) + `SamplingDefaults`, NO new adapter. Includes other Wan T2V sizes; i2v variants (need an
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