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hao-ai-lab-FastVideo/examples
leffffandClaude Fable 5 64f60b3d8a [bugfix]: address second-round Kandinsky5 QAD review findings
- Keep only ATTN_QAT_TRAIN strict in the stage backend guard; preserve the
  documented ATTN_QAT_INFER->FlashAttention fallback (+ regression tests)
- Resolve FSDP compute dtype from the recorded MixedPrecisionPolicy instead
  of scanning parameter storage dtypes (+ FSDP regression tests)
- E2E: export/strict-reload the final stage-2 student, instantiate it via
  the documented Kandinsky5DMDPipeline/Kandinsky5DMDConfig override,
  generate deterministically, and compare MS-SSIM against a committed
  reference (fail, not skip, when the reference is missing;
  KANDINSKY5_E2E_WRITE_REFERENCE=1 bootstraps it)
- E2E: delete all input/output roots up front and explicitly disable
  resume_from_checkpoint for both stages
- preprocess: path-specific ValueError on zero decoded frames, non-empty
  manifest validation, fixture VideoWriter.isOpened() check (+ tests)
- Stage-boundary regression test driving Kandinsky5DmdDenoisingStage with a
  backend spy; fails if the set_forward_context wrapper is removed
- distill_dmd_qat.sh now accepts a stage-1 DCP checkpoint, runs
  dcp_to_diffusers --verify, and injects the export into all three
  models.*.init_from overrides; README/YAML/finetune docs updated

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-26 02:29:52 -07:00
..
2026-07-19 18:37:47 -07:00