- Unload the ACTIVE image engine (sd_cpp or diffusers) before diffusion training starts, not just the diffusers singleton - Count metadata.jsonl captions in dataset summaries so metadata-captioned datasets are not reported as uncaptioned - Sidecar captions now override metadata rows everywhere (grid edits win); trainer and dataset API agree - Tag local diffusers image checkpoints with text-to-image so they appear in the Images picker - Family LoRA targets (_FLUX_TARGETS etc) apply when the config carries the generic defaults; explicit overrides still win |
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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 | ||