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
36 lines
944 B
JSON
36 lines
944 B
JSON
{
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"action_id": "midis_expressivelanguagelovingit_v0_5_il_",
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"action_name": "Midis Expressivelanguagelovingit V0 5 Il ",
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"action": {
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"full_body": "doggystyle",
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"head": "facing_away, moaning, heavy_breathing, sweat",
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"eyes": "half-closed_eyes",
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"arms": "leaning_forward",
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"hands": "on_surface",
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"torso": "bent_over, arched_back",
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"pelvis": "lifted",
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"legs": "kneeling, spread_legs",
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"feet": "toes_curled",
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"additional": "speech_bubble, english_text, sound_effects, motion_lines"
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},
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"lora": {
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"lora_name": "Illustrious/Poses/midis_ExpressiveLanguageLovingit_V0.5[IL].safetensors",
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"lora_weight": 1.0,
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"lora_triggers": "lovingit",
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"lora_weight_min": 1.0,
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"lora_weight_max": 1.0
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},
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"tags": [
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"lovingit",
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"speech_bubble",
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"moaning",
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"english_text",
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"doggystyle",
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"bent_over",
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"facing_away",
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"sex",
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"motion_lines",
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"sound_effects"
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]
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}
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