- 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>
26 lines
845 B
Python
26 lines
845 B
Python
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import requests
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import time
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import subprocess
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import os
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# Start the server
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proc = subprocess.Popen(['./venv/bin/python3', 'app.py'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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time.sleep(10) # Wait for server to start
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try:
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print("Triggering bulk actions creation...")
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r = requests.post('http://127.0.0.1:5000/actions/bulk_create', data={'overwrite': 'true'})
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print(f"Actions status: {r.status_code}")
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print("Triggering bulk styles creation...")
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r = requests.post('http://127.0.0.1:5000/styles/bulk_create', data={'overwrite': 'true'})
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print(f"Styles status: {r.status_code}")
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print("Triggering bulk detailers creation...")
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r = requests.post('http://127.0.0.1:5000/detailers/bulk_create', data={'overwrite': 'true'})
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print(f"Detailers status: {r.status_code}")
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finally:
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proc.terminate()
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