The previous boolean 'control_after_generate': true defaulted the control
widget to 'randomize', silently changing existing workflows into random
model selection on every queue. A string value sets the default mode, so
'fixed' preserves the prior behavior; users opt into randomization
explicitly.
The Checkpoint/Unet Loader (LoraManager) nodes now support ComfyUI's
built-in control_after_generate mechanism on the ckpt_name/unet_name combos,
letting users pick a random model on every queue with the selected model
written back into the widget (visible, and lockable via the 'fixed' mode).
A base_model input narrows the random pool: a front-end extension fetches
the name/base_model mapping from the new /api/lm/checkpoints/loader-pool
endpoint and filters the combo options, wired through the node callback,
the refreshComboInNodes extension hook, and a graph.onConfigure hook
installed from onAdded (onNodeCreated fires before the node is attached to
a graph, so the graph reference is unavailable there).
- Add `# type: ignore` comments to comfy.sd and folder_paths imports
- Remove unused imports: os, random, and extract_lora_name
- Clean up import statements across checkpoint_loader, lora_randomizer, and unet_loader nodes
- Rename nodes to 'Checkpoint Loader (LoraManager)' and 'Unet Loader (LoraManager)'\n- Use os.sep for relative path formatting in model COMBO inputs\n- Update path matching to be robust across OS separators\n- Update docstrings and comments
Refactor _prepare_checkpoint_paths() to return a tuple instead of having
side effects on instance variables. This prevents extra unet paths from
being incorrectly classified as checkpoints when processing extra paths.
- Changed return type from List[str] to Tuple[List[str], List[str], List[str]]
(all_paths, checkpoint_roots, unet_roots)
- Updated _init_checkpoint_paths() and _apply_library_paths() callers
- Fixed extra paths processing to properly isolate main and extra roots
- Updated test_checkpoint_path_overlap.py tests for new API
This ensures models in extra unet paths are correctly identified as
diffusion_model type and don't appear in checkpoints list.
Will Miao