- Chat load defers the CHAT arbiter handoff until after identifier / gpu_ids /
training-memory validation, so a doomed chat load (bad id, unsupported gpu_ids on
GGUF, or a training 409) no longer evicts a resident Images/Video pipeline and then
errors. The already-loaded fast paths re-assert CHAT ownership themselves. Mirrors
the image and video loaders, which validate before acquire_for.
- Both training-start GPU cleanups now unload a resident Video pipeline and release the
VIDEO arbiter owner, not just Images/DIFFUSION, so starting LLM or diffusion training
after a video generation session no longer competes with the still-resident video
model and OOMs the run.
- Example dataset import materializes into a private staging dir and promotes into the
dataset folder only after the whole import succeeds. A materialize that fails partway
no longer leaves a partial dataset that a retry would treat as complete (imported=0),
stranding the user with a truncated dataset. Hidden dirs are skipped by the dataset
scan so the staging dir never surfaces as a dataset.
- Cached/local Wan GGUFs are now classified name-aware: arch "wan" alone is ambiguous
between the loadable single-DiT TI2V-5B and the dual-expert A14B MoE the loader
refuses, so _arch_to_task falls back to the repo/file name (as the loader's own
detect_video_family does) and tags only a non-MoE match text-to-video, surfacing
loadable Wan GGUFs in the Video picker without surfacing unloadable A14B files.
- The diffusion dataset upload route is added to the MaxBodyMiddleware upload
passthrough, so its own get_upload_limit_bytes() cap (plus multipart overhead, and a
raised max_upload_size_mb) applies instead of the default body limit rejecting
near-limit batches with 413 before the handler runs.
Adds regression tests for each: the chat handoff not evicting on a doomed load, the
video unload on diffusion-training start, the atomic import leaving no partial dataset,
the name-aware Wan GGUF classification (TI2V-5B video, A14B unsupported, bare arch
unsupported), and the diffusion upload passthrough cap.
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