process_image_sequence converts the batch once, detects per frame while capturing the frames the detector saw (the read_image products, including the min(h,w)<512 upscale), estimates each affine once with the vendored call, crops with cv2.warpAffine (decision D2: the uint8-bound warp stays bit-exact; the batched grid_sample helper stays parked and pinned), normalizes the whole crop batch on the device, keeps the KEEP chunk contract byte-identical, converts the restored faces with one batched tensor2img, pastes through the batched paste with the vendored fallback, and stacks the output in one transfer. The paste canvas is the detection frame, so small frames keep the base's upscaled canvas (the round-1 QA defect F1, fixed and pinned). A failed affine degrades to the neutral crop with a warning instead of crashing like the base. Progress still reports num_frames * 4 in the four families. Pins: the read-once/affine-once/chunk-contract AST guards, the progress contract, and the new end-to-end base-vs-shipped suite (tests/test_gpu_sequence_e2e.py) with the real vendored helper - measured drift 0/255 on the vendored branch, 1/255 on the batched branch.
The pack owned a private stdlib handler, so every line bypassed the coloured console of ComfyUI, and the call sites carried a literal KEEP prefix. The logger now adopts the host console (no handler and propagate=True when ComfyUI is present, one private handler when it is not), the tag lives in a single filter, and the console writes of the pack (the tqdm bars of the processor, the prints of the vendored facelib) reach it through a thread-scoped redirect.
WildAi