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mirror of https://github.com/vladmandic/automatic synced 2026-09-19 09:14:35 +02:00
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feat(ui): add tooltips/hints to Caption tab

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Add comprehensive tooltips to Caption tab UI elements in locale_en.json:

- Add new "llm" section for shared LLM/VLM parameters:
  System prompt, Prefill, Top-K, Top-P, Temperature, Num Beams,
  Use Samplers, Thinking Mode, Keep Thinking Trace, Keep Prefill

- Add new "caption" section for caption-specific settings:
  VLM, OpenCLiP, Tagger tab labels and all their parameters
  including thresholds, tag formatting, batch options

- Consolidate accordion labels in ui_caption.py:
  "Caption: Advanced Options" and "Caption: Batch" shared across
  VLM, OpenCLiP, and Tagger tabs (localized to "Advanced Options"
  and "Batch" in UI)

- Remove duplicate entries from missing section
This commit is contained in:
CalamitousFelicitousness
2026-01-25 00:41:07 +00:00
parent 7eb9b1cc5c
commit 6b89cc8463
2 changed files with 59 additions and 49 deletions
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modules/ui_caption.py
+6 -6
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@@ -167,7 +167,7 @@ def create_ui():
with gr.Row():
vlm_load_btn = gr.Button(value='Load', elem_id='vlm_load', variant='secondary')
vlm_unload_btn = gr.Button(value='Unload', elem_id='vlm_unload', variant='secondary')
with gr.Accordion(label='VLM: Advanced Options', open=False, visible=True):
with gr.Accordion(label='Caption: Advanced Options', open=False, visible=True):
with gr.Row():
vlm_max_tokens = gr.Slider(label='VLM Max Tokens', value=shared.opts.interrogate_vlm_max_length, minimum=16, maximum=4096, step=1, elem_id='vlm_max_tokens')
vlm_num_beams = gr.Slider(label='VLM Num Beams', value=shared.opts.interrogate_vlm_num_beams, minimum=1, maximum=16, step=1, elem_id='vlm_num_beams')
@@ -192,7 +192,7 @@ def create_ui():
vlm_keep_prefill.change(fn=update_vlm_params, inputs=[vlm_max_tokens, vlm_num_beams, vlm_temperature, vlm_do_sample, vlm_top_k, vlm_top_p, vlm_keep_prefill, vlm_keep_thinking, vlm_thinking_mode], outputs=[])
vlm_keep_thinking.change(fn=update_vlm_params, inputs=[vlm_max_tokens, vlm_num_beams, vlm_temperature, vlm_do_sample, vlm_top_k, vlm_top_p, vlm_keep_prefill, vlm_keep_thinking, vlm_thinking_mode], outputs=[])
vlm_thinking_mode.change(fn=update_vlm_params, inputs=[vlm_max_tokens, vlm_num_beams, vlm_temperature, vlm_do_sample, vlm_top_k, vlm_top_p, vlm_keep_prefill, vlm_keep_thinking, vlm_thinking_mode], outputs=[])
with gr.Accordion(label='VLM: Batch Caption', open=False, visible=True):
with gr.Accordion(label='Caption: Batch', open=False, visible=True):
with gr.Row():
vlm_batch_files = gr.File(label="Files", show_label=True, file_count='multiple', file_types=['image'], interactive=True, height=100, elem_id='vlm_batch_files')
with gr.Row():
@@ -213,7 +213,7 @@ def create_ui():
ui_common.create_refresh_button(clip_model, openclip.refresh_clip_models, lambda: {"choices": openclip.refresh_clip_models()}, 'clip_models_refresh')
blip_model = gr.Dropdown(list(openclip.caption_models), value=shared.opts.interrogate_blip_model, label='Caption Model', elem_id='btN_clip_blip_model')
clip_mode = gr.Dropdown(openclip.caption_types, label='Mode', value='fast', elem_id='clip_clip_mode')
with gr.Accordion(label='CLiP: Advanced Options', open=False, visible=True):
with gr.Accordion(label='Caption: Advanced Options', open=False, visible=True):
with gr.Row():
clip_min_length = gr.Slider(label='clip: min length', value=shared.opts.interrogate_clip_min_length, minimum=8, maximum=75, step=1, elem_id='clip_caption_min_length')
clip_max_length = gr.Slider(label='clip: max length', value=shared.opts.interrogate_clip_max_length, minimum=16, maximum=1024, step=1, elem_id='clip_caption_max_length')
@@ -231,7 +231,7 @@ def create_ui():
clip_max_flavors.change(fn=update_clip_params, inputs=[clip_min_length, clip_max_length, clip_chunk_size, clip_min_flavors, clip_max_flavors, clip_flavor_count, clip_num_beams], outputs=[])
clip_flavor_count.change(fn=update_clip_params, inputs=[clip_min_length, clip_max_length, clip_chunk_size, clip_min_flavors, clip_max_flavors, clip_flavor_count, clip_num_beams], outputs=[])
clip_num_beams.change(fn=update_clip_params, inputs=[clip_min_length, clip_max_length, clip_chunk_size, clip_min_flavors, clip_max_flavors, clip_flavor_count, clip_num_beams], outputs=[])
with gr.Accordion(label='CLiP: Batch Interrogate', open=False, visible=True):
with gr.Accordion(label='Caption: Batch', open=False, visible=True):
with gr.Row():
clip_batch_files = gr.File(label="Files", show_label=True, file_count='multiple', file_types=['image'], interactive=True, height=100, elem_id='clip_batch_files')
with gr.Row():
@@ -255,7 +255,7 @@ def create_ui():
with gr.Row():
wd_load_btn = gr.Button(value='Load', elem_id='wd_load', variant='secondary')
wd_unload_btn = gr.Button(value='Unload', elem_id='wd_unload', variant='secondary')
with gr.Accordion(label='Tagger: Advanced Options', open=True, visible=True):
with gr.Accordion(label='Caption: Advanced Options', open=True, visible=True):
with gr.Row():
wd_general_threshold = gr.Slider(label='General threshold', value=shared.opts.tagger_threshold, minimum=0.0, maximum=1.0, step=0.01, elem_id='wd_general_threshold')
wd_character_threshold = gr.Slider(label='Character threshold', value=shared.opts.waifudiffusion_character_threshold, minimum=0.0, maximum=1.0, step=0.01, elem_id='wd_character_threshold')
@@ -271,7 +271,7 @@ def create_ui():
with gr.Row():
wd_show_scores = gr.Checkbox(label='Show confidence scores', value=shared.opts.tagger_show_scores, elem_id='wd_show_scores')
gr.HTML('<style>#wd_character_threshold:has(input:disabled), #wd_include_rating:has(input:disabled) { opacity: 0.5; }</style>')
with gr.Accordion(label='Tagger: Batch', open=False, visible=True):
with gr.Accordion(label='Caption: Batch', open=False, visible=True):
with gr.Row():
wd_batch_files = gr.File(label="Files", show_label=True, file_count='multiple', file_types=['image'], interactive=True, height=100, elem_id='wd_batch_files')
with gr.Row():