- Change AxisOption type from str to bool with [False, True] choices
- Simplify apply_detailer() to accept bool directly
- Fix log message from "face-restore" to "detailer"
Remove all vendored face restoration code that is no longer maintained:
- modules/postprocess/codeformer_model.py, codeformer_arch.py, vqgan_arch.py
- modules/postprocess/gfpgan_model.py, restorer.py
- modules/face_restoration.py (base class and dispatcher)
- scripts/postprocessing_codeformer.py, postprocessing_gfpgan.py
- modules/facelib/ (vendored face detection/parsing library)
These were the only two backends registered in shared.face_restorers,
making the entire face restoration infrastructure dead code.
- Add 'Fill (Nunchaku)' and 'Depth (Nunchaku)' options to Flux Tools
dropdown, loading models with +nunchaku suffix for SVDQuant quantization
- Mark Fill and Depth nunchaku reference entries as hidden so they remain
available for check_nunchaku() lookup but don't appear in Extra Networks
- Filter hidden reference models in ui_extra_networks_checkpoints
Add Top-K and Top-P sampling parameters to match VQA capabilities:
- Top-K: 0-100 (default 0 = disabled)
- Top-P: 0.0-1.0 (default 0 = disabled)
Parameters are only passed to the model when > 0, matching VQA behavior.
Update default settings for both Prompt Enhance and VQA:
- max_tokens: 512 (prompt enhance)
- do_sample: True
- temperature: 0.8
These defaults provide better output quality with more creative
variation while maintaining coherent results.
Add fallback to ui_control_helpers.input_source when Gradio image
component is empty, which occurs when Kanvas is active (replaces
gr.Image with gr.HTML).
Also standardize debug logging:
- Add debug at enhance() entry, chat template, tokenization
- Change shared.log.trace() calls to use debug_log() for consistency
- All debug output controlled by SD_LLM_DEBUG environment variable
Clarify purpose of empty fields with placeholder text:
- System prompt: explains built-in instructions used when empty
- Prefix/suffix: describe where text is added to result
- Output: indicates where enhanced prompt appears
Add prefill text support and proper thinking tag handling:
- Prefill text input to pre-fill start of model response
- Keep Prefill toggle to retain/remove prefill from output
- Keep Thinking Trace toggle to format <think> tags as readable output
- Proper <think> tag cleanup: strip or format as "Reasoning:/Answer:"
- Support for prefill + thinking combination via keep_think_block_open()
Chat template uses continue_final_message=True when prefill provided,
allowing model to continue from the prefill text naturally.
Add visual capability indicators and user control for image input:
- Vision symbol (eye icon) for VL-capable models in dropdown
- Reasoning symbol (lightbulb) for thinking-capable models
- "Use vision" checkbox to control image input for enhancement
- Toggle dims and unchecks when non-VL model selected
- Vision auto-enables when switching to VL model
Also:
- Rename "Do sample" to "Use samplers" for consistency with VQA
- Add tooltips/hints for all prompt enhance UI elements
- Add CSS styling for dimmed vision toggle appearance
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