a8f7b3de57
Backend: - Sanitize a blank hf_token to None in begin_load and load_pipeline, so the default empty Studio token loads anonymously instead of 401ing as an explicit empty credential. - Free the ACTIVE diffusion engine before LLM training and in the delete-cached guard: on a native (sd_cpp) selection the diffusers singleton reports unloaded, so training could start against a live sd-cli generation and delete-cached could remove a GGUF the native engine is using. Both now go through diffusion_engine_router.get_active_diffusion_engine(). - Refuse delete-cached while a background image load is downloading the repo (or its companion base): status().loaded is False in that window, but the delete would yank blobs from under the in-flight assembly. Both engines expose the in-flight ids via a new loading_repo_ids(). - Cap request seeds at 2**53-1: seeds round-trip through JSON gallery recipes, where JavaScript rounds larger integers, so a restored recipe generated a different image. Random seeds were already masked to this range. - Add the task field to CachedModelRepo: the handler sets it for cached diffusers image repos but response_model silently dropped it, letting image-only repos pass the chat picker's task gate. Frontend: - Offset sequential run seeds by the batch size: the native engine seeds image j of a run at seed+j, so a +1 run offset regenerated the previous run's batch-mates. - Revert the optimistic quant selection when a load fails to start. - Stop disabling the Images page on chat-only hosts: the native sd.cpp engine exists exactly for the no-GPU route. |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| hub | ||
| loggers | ||
| models | ||
| plugins | ||
| requirements | ||
| routes | ||
| state | ||
| storage | ||
| tests | ||
| utils | ||
| __init__.py | ||
| _platform_compat.py | ||
| cloudflare_tunnel.py | ||
| colab.py | ||
| main.py | ||
| run.py | ||
| startup_banner.py | ||