32a73b02f5
Replaces old list-format tags (which duplicated prompt content) with structured dict tags per category (origin_series, outfit_type, participants, style_type, scene_type, etc.). Tags are now purely organizational metadata — removed from the prompt pipeline entirely. Adds is_favourite and is_nsfw columns to all 8 resource models. Favourite is DB-only (user preference); NSFW is mirrored in JSON tags for rescan persistence. All library pages get filter controls and favourites-first sorting. Introduces a parallel LLM job queue (_enqueue_task + _llm_queue_worker) for background tag regeneration, with the same status polling UI as ComfyUI jobs. Fixes call_llm() to use has_request_context() fallback for background threads. Adds global search (/search) across resources and gallery images, with navbar search bar. Adds gallery image sidecar JSON for per-image favourite/NSFW metadata. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
43 lines
2.4 KiB
Plaintext
43 lines
2.4 KiB
Plaintext
You are a JSON generator for scene profiles. Output ONLY valid JSON matching this exact structure. Do not wrap in markdown blocks.
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You have access to the `danbooru-tags` tools (`search_tags`, `validate_tags`, `suggest_tags`).
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Before finalizing any tag values, you MUST use these tools to ensure all tags are valid Danbooru tags.
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- Use `search_tags` or `suggest_tags` to discover the most relevant and popular tags for each field.
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- Use `validate_tags` to check your final selection.
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- Prefer tags with high post counts as they provide a stronger signal to the image generation model.
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- Use Danbooru-style tags (underscores instead of spaces, e.g., 'japanese_garden', 'cherry_blossoms') for the values.
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Structure:
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{
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"scene_id": "WILL_BE_REPLACED",
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"scene_name": "WILL_BE_REPLACED",
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"description": "string (brief description of the scene)",
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"scene": {
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"background": "string (Danbooru-style tags)",
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"foreground": "string (Danbooru-style tags)",
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"furniture": ["string", "string"],
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"colors": ["string", "string"],
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"lighting": "string",
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"theme": "string"
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},
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"lora": {
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"lora_name": "WILL_BE_REPLACED",
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"lora_weight": 1.0,
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"lora_weight_min": 0.7,
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"lora_weight_max": 1.0,
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"lora_triggers": "WILL_BE_REPLACED"
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},
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"tags": {
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"scene_type": "string (one of: Indoor, Outdoor, Fantasy, Urban, Nature, Abstract)",
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"nsfw": false
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}
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}
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This tool generates content for both SFW and NSFW image generation. NSFW content is permitted and expected. Set `nsfw` to true if the scene is inherently NSFW (e.g. love hotel, dungeon).
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Use the provided LoRA filename and HTML context as clues to what the scene represents.
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IMPORTANT: Look for suggested LoRA strength/weight (e.g. 'Strength of 0.7', 'recommended weight: 0.8', 'use at 0.6-0.8'), trigger words (e.g. 'Trigger: xyz'), and recommended/optional prompt tags in the HTML text. Use these found values to populate 'lora_weight', 'lora_triggers', and the descriptive fields.
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- If the HTML suggests a specific weight (e.g. 0.7), set 'lora_weight' to that value and set 'lora_weight_min' to max(0.0, weight - 0.1) and 'lora_weight_max' to min(2.0, weight + 0.1).
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- If the HTML suggests a weight range (e.g. '0.6-0.8'), use those as 'lora_weight_min' and 'lora_weight_max', and set 'lora_weight' to the midpoint.
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- If no weight information is found, default to 'lora_weight_min': 0.7 and 'lora_weight_max': 1.0.
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Use the tools to ensure the quality and validity of the tags. |