Add semantic tagging, search, favourite/NSFW filtering, and LLM job queue
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>
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@@ -50,6 +50,13 @@ Structure:
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"lora_weight_max": 1.0,
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"lora_triggers": ""
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},
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"tags": ["string", "string"]
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"tags": {
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"origin_series": "string (the franchise/series the character is from, e.g. 'Fire Emblem', 'Spy x Family', 'Mario'. Use 'Original' if the character is not from any series)",
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"origin_type": "string (one of: Anime, Video Game, Cartoon, Movie, Comic, Original)",
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"nsfw": false
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}
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}
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Fill the fields based on the user's description. Use the tools to ensure the quality and validity of the tags.
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This tool generates content for both SFW and NSFW image generation. NSFW content is permitted and expected. Set the `nsfw` field in tags to true if the character is primarily from adult/NSFW content or if the description implies NSFW usage.
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Fill the fields based on the user's description. Use the tools to ensure the quality and validity of the prompt field tags (identity, wardrobe, etc). The `tags` object contains semantic metadata — not Danbooru tags.
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