- Wan2.2-A14B step cache: pin the balanced FBCache threshold to 0.08 even when
quant is active (per-family override in diffusion_cache.py). Auto-fp8 made the
generic quant promotion (0.12) the family's effective default at pairwise LPIPS
0.128, over the 0.08 quality gate the balanced preset is held to. Measured
operating point with fp8 actually engaged (1280x720/81f/50 steps, B200):
fb@0.08 = 1.08x at 0.129 vs the old fb@0.12 = 2.58x at 0.181; documented in
the preset table. Explicit thresholds and the fast preset are unaffected.
- MagCache curves: validated the shipped 33-frame calibrations at the production
121-frame default for hunyuanvideo-1.5-720p, hunyuanvideo-1.5 (480p) and
wan2.2-ti2v-5b. Fresh 121-frame calibrations differ by <= 0.024 max abs entry
and produce byte-identical frames at the auto presets (hv720 quality 1.69x at
LPIPS 0.042, hv480 quality 1.66x at 0.018, wan5b balanced 1.74x at 0.026, all
pairwise vs the same-load uncached stack), so the curves ship unchanged with
the frame-count transfer documented next to them.
- Dual-GPU CFG parallelism: the secondary-device pick now prefers a device whose
name and compute capability match the primary, and the gate declines a
mismatched pair in auto mode (eager kernel selection is arch-dependent, so the
advertised bit-identity cannot hold across different GPU models); an explicit
cfg_parallel=on proceeds but is downgraded to lossless=False with a warning.
- A14B expert step cache is now all-or-none, mirroring the transactional quant
loop: a mixed outcome (cache engaged on one expert but not the other) is
rolled back and reported uncached with the failure reason, on both the load
path and the generation-time auto toggle.
- Partial torchao quantization is no longer reported as dense: after an
in-place quantize_/caster failure, the DiT / text encoder / VAE is scanned
for leftover torchao tensor-subclass parameters and the load fails with a
clear error when any are found (a half-quantized module cannot run as dense,
and offload's Module.to() crashes on torchao tensors). Failures that swapped
nothing keep the best-effort dense fallback.
- Cleanup: apply_attention_backend / apply_speed_optims / the attention trim
are called once on the pipe (they already fan out over every DiT internally),
so the second A14B expert no longer passes through them twice; the stale
dual-DiT helper comment is rewritten to match the two helper shapes.
Tests: device-identity picker/gate/lossy-plan coverage, per-family threshold
pin scoping, all-or-none rollback in both failure directions, and partial-quant
detection for all three quant modules.
514f4c60fe