The training info endpoint now returns the trainable model families (name, label, default + allowed base repos, recommended defaults, and a VRAM/access note) so the Train UI can offer a base picker with realistic guidance. The start route preflights a gated base repo (HEAD model_index.json with the user's token) BEFORE freeing resident GPU workloads, so a missing FLUX.1-dev license/token fails fast with an actionable 400 instead of evicting the loaded model and then hitting a confusing mid-load 401. |
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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 | ||
| LICENSE.AGPL-3.0 | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||