ae7ba961c1
- app.py: add subprocess import; add _ensure_mcp_repo() to clone/pull danbooru-mcp from https://git.liveaodh.com/aodhan/danbooru-mcp into tools/danbooru-mcp/ at startup; add ensure_mcp_server_running() which calls _ensure_mcp_repo() then starts the Docker container if not running; add GET /api/status/comfyui and GET /api/status/mcp health endpoints; fix call_llm() to retry up to 3 times on unexpected response format (KeyError/IndexError), logging the raw response and prompting the LLM to respond with valid JSON before each retry - templates/layout.html: add ComfyUI and MCP status dot indicators to navbar; add polling JS that checks both endpoints on load and every 30s - static/style.css: add .service-status, .status-dot, .status-ok, .status-error, .status-checking styles and status-pulse keyframe animation - .gitignore: add tools/ to exclude the cloned danbooru-mcp repo
34 lines
1.0 KiB
JSON
34 lines
1.0 KiB
JSON
{
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"action_id": "bodybengirlpart2",
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"action_name": "Bodybengirlpart2",
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"action": {
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"full_body": "body suspended in mid-air, held by torso, bent over forward",
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"head": "embarrassed, sweating, scared",
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"eyes": "open, looking away or down",
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"arms": "arms hanging down, limp arms, arms at sides",
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"hands": "hands open, limp",
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"torso": "torso grab, bent forward",
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"pelvis": "hips raised if bent over",
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"legs": "legs dangling, knees together, feet apart",
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"feet": "feet off ground, dangling",
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"additional": "motion lines, sweat drops"
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},
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"lora": {
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"lora_name": "Illustrious/Poses/BodyBenGirlPart2.safetensors",
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"lora_weight": 0.9,
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"lora_triggers": "bentstand-behind, dangling legs, dangling arms, from_side, arms hanging down, torso_grab, suspended",
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"lora_weight_min": 0.9,
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"lora_weight_max": 0.9
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},
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"tags": [
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"torso_grab",
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"suspension",
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"bent_over",
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"knees_together_feet_apart",
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"arms_at_sides",
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"motion_lines",
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"embarrassed",
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"sweat"
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]
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}
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