- Free reserved VRAM in the diffusion load worker's failure path: a load-time OOM never commits _state and the next load's _unload_locked early-returns, so nothing else reclaimed the half-built pipeline's memory - Use a monotonic clock for the denoise ETA rate - Sync _GENERATION_DEFAULTS with the UI table: kontext, flux.2-dev, sdxl-turbo and SDXL base rows so /v1/images/generations stops falling back to 9 steps / CFG 0 - 400 (not sanitized 500) when /v1/images/generations hits an edit-only model - Fail fast on pre-Ampere CUDA in the DiT trainer instead of dying in model load - Run the trainer trust gate in the diffusion training route before freeing GPU residents so an untrusted base cannot tear down loaded chat/Images models - Protect native sd.cpp companion VAE/text-encoder repos from cache deletion while a load is downloading them - Exempt the task-scoped Images picker from the chat-only GGUF/MLX format gate so local diffusers pipelines stay selectable on no-GPU hosts |
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|---|---|---|
| .. | ||
| __init__.py | ||
| diffusion_dit_trainer.py | ||
| diffusion_lora_trainer.py | ||
| diffusion_train_common.py | ||
| diffusion_training_service.py | ||
| resume.py | ||
| s3_dataset.py | ||
| trainer.py | ||
| training.py | ||
| worker.py | ||