Hide all CLiP, VLM, and Tagger settings from Settings > Interrogate page
while keeping them in shared.opts for persistence. Caption Tab UI becomes
the single control point with change handlers that save directly to config.
Changes:
- Hide OpenCLiP, VLM, and Tagger settings with visible=False
- Add change handlers to save settings when UI controls change
- Rename "Booru Tags" tab to "Tagger", update choice labels
- Update interrogate.py to use unified tagger interface with all settings
Add DeepBooru as a model option alongside WD14 models in the Booru Tags
tab, with dynamic UI that disables inapplicable controls.
Changes:
- Create modules/interrogate/tagger.py as unified adapter module
- Add batch, load/unload, get_models functions to deepbooru.py
- Update ui_caption.py to use unified tagger interface
- Consolidate shared tagger settings in shared.py
- Add implementation plan for future settings consolidation
UI behavior:
- Model dropdown shows DeepBooru + all WD14 models
- Character threshold and include rating disabled for DeepBooru
- All controls re-enable when WD14 model selected
Add SmilingWolf's WD14/WaifuDiffusion tagger models for anime/illustration
tagging as a new "Booru Tags" tab in the Caption panel.
- Support 9 models (v2 and v3 variants) via HuggingFace
- ONNX backend chosen due to safetensors v3 variants exhibiting
unacceptable accuracy loss
- Separate thresholds for general/character tags
- Batch processing with progress bar
- Consolidate debug env var to SD_INTERROGATE_DEBUG
The "Restore from metadata: skip params" setting previously required
exact metadata parameter names (e.g., "Batch-2" instead of "batch_size").
This was confusing because metadata names differ from Python variables
and UI labels.
Changes:
- Auto-populate param_aliases from component labels and elem_ids
- Expand user input with aliases in should_skip()
- Support normalized names so "Batch" skips both "Batch-1" and "Batch-2"
Users can now enter any of these formats (case-insensitive):
- Python variable names: batch_size, cfg_scale, clip_skip
- UI labels: Batch size, CFG scale, Clip skip
- Metadata names: Batch-2, CFG scale, Clip skip
- Normalized names: Batch (skips both Batch-1 and Batch-2)
- Add detailed hints explaining LoRA fuse behavior and model reload warning
- Add hints for force reload, diffusers fuse, and quantization precision options
- Improve clarity of auto-apply tags and hash metadata hints
- Comment out unimplemented lora_quant setting
Change "Images folder" and "Grids folder" settings to act as base paths
that combine with specific folder settings, rather than replacing them.
- Add resolve_output_path() helper function to modules/paths.py
- Update all output path usages to use combined base + specific paths
- Update gallery API to return resolved paths with display labels
- Update gallery UI to show short labels with full path on hover
Example: If base is "C:\Database\" and specific is "outputs/text",
the resolved path becomes "C:\Database\outputs\text"
Edge cases handled:
- Empty base path: uses specific path directly (backward compatible)
- Absolute specific path: ignores base path
- Empty specific path: uses base path only
awsr
Ryan Meador
Oleksandr Liutyi
CalamitousFelicitousness
Seunghoon Lee
vladmandic
James58899