4850fd239d
DiffusionLoraConfig has carried cond_cache_dir for a while and the DiT trainer acts on it, but DiffusionTrainingStartRequest omitted the field, so Pydantic dropped it silently and every API-driven run fell back to the in-memory cache that is rebuilt from scratch each time. The warm path skips loading the VAE and the multi-GB text encoders on a rerun whose images, captions and resolution are unchanged, so this was a real capability that could not be reached. Contained like output_dir rather than left to the trainer subprocess's cwd, since it is another directory the trainer writes to. Blank or omitted still means the in-memory cache, so it must not resolve to the outputs root. |
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| .. | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| data_recipe.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| mcp_servers.py | ||
| models.py | ||
| providers.py | ||
| responses.py | ||
| training.py | ||
| users.py | ||