db163e55e3
- The trainer keyed its persistent conditioning cache on family and resolution only, while the keys themselves carry just the caption or image content and crop variant. One cache directory reused for two checkpoints, or for the same repo at a new revision, let a warm run skip loading its encoders and train on the other model's embeddings and latent statistics. Namespace on the base checkpoint and its resolved revision as well. The revision helper now lives beside the cache in diffusion_train_extras and the inference wrapper delegates to it, so the two cannot disagree about what counts as the same source. - The diffusion learning rate only checked positivity, but 1e309 floats to inf and satisfies gt, so the route evicted the resident models and started AdamW with an infinite rate: the first step destroys the adapter while progress looks normal and the result is saved. Bound it below 1.0, matching the LLM schema, which rejects inf for the same reason. |
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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 | ||