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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|---|---|---|
| .. | ||
| .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 | ||