0b8802deb5
- New Checkpoint model (slug, name, checkpoint_path, data JSON, image_path) - sync_checkpoints() loads metadata from data/checkpoints/*.json and falls back to template defaults for models without a JSON file - _apply_checkpoint_settings() applies per-checkpoint steps, CFG, sampler, base positive/negative prompts, and VAE (with dynamic VAELoader node injection for non-integrated VAEs) to the ComfyUI workflow - Bulk Create from Checkpoints: scans Illustrious/Noob model directories, reads matching HTML files, uses LLM to populate metadata, falls back to template defaults when no HTML is present - Gallery index with batch cover generation and WebSocket progress bar - Detail page showing Generation Settings and Base Prompts cards - Checkpoints nav link added to layout - New data/prompts/checkpoint_system.txt LLM system prompt - Updated README with all current galleries and file structure - Also includes accumulated action/scene JSON updates, new actions, and other template/generator improvements from prior sessions Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
30 lines
656 B
JSON
30 lines
656 B
JSON
{
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"action_id": "cheekbulge",
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"action_name": "Cheekbulge",
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"action": {
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"full_body": "fellatio",
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"head": "cheek_bulge, head_tilt, saliva",
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"eyes": "looking_up",
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"arms": "arms_behind_back",
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"hands": "hands_on_head",
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"torso": "upper_body",
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"pelvis": "kneeling",
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"legs": "kneeling",
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"feet": "plantar_flexion",
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"additional": "deepthroat, pov, penis"
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},
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"lora": {
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"lora_name": "Illustrious/Poses/cheekbulge.safetensors",
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"lora_weight": 1.0,
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"lora_triggers": "cheek bulge"
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},
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"tags": [
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"cheek_bulge",
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"deepthroat",
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"fellatio",
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"saliva",
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"head_tilt",
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"penis",
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"pov"
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]
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} |