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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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| install_sd_cpp_prebuilt.py | ||
| install_whisper_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| MCP.md | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| prebuilt_core.py | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||