09c51147a9
P1 #1: ``TrainingStartRequest.model_name`` now runs the same control-character and embedded-HF-token validators that the chat and diffusion request models gained in rounds 5 / 15 / 20 / 21. ``/api/training/start`` previously accepted newline / tab / control characters and URL-form ``hf_xxxxx`` tokens that flowed into structured-log sinks via "Loading model %s" lines. P1 #2: ``_run_with_helper`` in ``utils/datasets/llm_assist.py`` now skips the helper GGUF when the diffusion image backend reports loaded / loading. The public chat / training / export routes already do this through ``_release_diffusion_for``, but this dataset-side helper loaded llama-server directly with no diffusion guard, so an Images-page allocation would race the helper for VRAM. New ``_diffusion_image_model_busy`` helper fails closed (treats status() failure as busy) so the resident image model is preserved instead of being overwritten. P1 #3: same ``_diffusion_image_model_busy`` guard added to ``_run_multi_pass_advisor`` (the dataset conversion advisor), which has the same direct llama.cpp load shape. P2 #4: the early "Could not infer a diffusion family" RuntimeError now routes ``repo_id`` through ``_display_repo_id`` before formatting. A local absolute path that did not match any known family used to leak the operator's filesystem layout via the 400 response body, last_error, and log line. All 97 diffusion + training-validation + related tests pass locally. |
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| .. | ||
| datasets | ||
| hardware | ||
| inference | ||
| models | ||
| paths | ||
| .gitkeep | ||
| __init__.py | ||
| _studio_release_build.py | ||
| cache_cleanup.py | ||
| downsample.py | ||
| llama_cpp_freshness.py | ||
| native_path_leases.py | ||
| studio_version.py | ||
| subprocess_compat.py | ||
| transformers_version.py | ||
| update_status.py | ||
| utils.py | ||
| wheel_utils.py | ||