Two reviewer asks + the next Wan port, all within the bounded Wan+LTX-2 scope:
1. Architecture-driven dispatch (replaces the HF-id table + substring fallback): from_config reads the
checkpoint's pipeline/transformer/VAE class names (+ z_dim, transformer_2) and picks the v2 card via
_select_builders — mirroring fastvideo's get_pipeline_config_cls_from_name. Resolves local paths /
renamed repos / new distilled variants of a known arch with no table edits, and cleanly REJECTS
FastWan (detected by WanDMDPipeline) with a precise message instead of a confusing load crash.
2. Real LTX-2 spatial upsampler (was a nearest-neighbor np.repeat stand-in): new 'upsampler' component
kind -> TorchLTX2Upsampler wraps the real LTX2LatentUpsampler and applies the repo's upsample_video
(un_normalize via the VAE decoder's per_channel_statistics -> learned 2x upsample -> normalize). CPU
keeps ToyUpsampler (np.repeat) via the factory terminal, so the program calls
component('spatial_upsampler').upsample(...) on both backends with no device branch. GPU-verified:
9x512x768, std 70.5, motion 6.51.
3. Wan2.2-T2V-A14B MoE card (build_wan22_a14b_card): two WanTransformer3DModel experts +
BoundaryTimestepRouting @0.875. GPU-verified that both experts denoise; OOMs in VAE decode on one
80GB GPU (~70GB resident) — upstream offloads the DiT for MoE; documented as offload-blocked.
CPU suite green (202 passed, 2 skipped). FastWan root-caused (non-strict load of VSA gate_compress +
VSA not built); roadmap (V2_PORTING_STATUS.md) updated with the bounded scope + per-model status.
- latent_shape(req, model): real Wan geometry (16ch; (T-1)//4+1, H/8, W/8) on the cuda backend;
toy stand-in stays on accel/cpu.
- stamp_wan21_checkpoints(card, model_root): map a root (local dir or HF id) onto the 3 components'
ComponentSpec.checkpoint; build_wan21_card(checkpoint_root=...) optional.
Directory rename (git mv, history preserved) plus rewrite of all references: absolute imports in
tests, the zero-dep runner, docstrings, comments, and the README. No behavior change.
Run: python3 -m pytest v2/tests/ -q ; python3 v2/run_tests.py ; python3 -m v2.examples
SolitaryThinker