c8272a8a45fd3f67b46030ff168b00e6b557ee3e
Backend: add explicit URN handling to resolve CivitAI model/version into a direct download source; normalize and accept a `sources` parameter (local, huggingface, civitai, all) and drive per-source searching. Reorder and tighten search logic (local/popular, model-list, HuggingFace, CivitAI) and include `searched_sources` in results and improved logging. Frontend: add per-missing-item search result cache and state, UI buttons to pick search sources, merge incremental results instead of overwriting, show selected-source helper text, pass selected source to the server, clear cache on refresh, and improve search status messages and UX. Overall: enables targeted online searches, preserves previous results, and surfaces direct CivitAI downloads for URNs.
ComfyUI Model Linker Extension
A ComfyUI extension that helps users relink missing models in workflows using fuzzy matching.
https://github.com/user-attachments/assets/fedf3645-aa66-49f7-b01d-8c3b5127faf4
Features
- Scans all nodes in workflows to find missing models
- Uses fuzzy matching to suggest similar model files
- Updates workflow JSON in UI/memory (user saves themselves)
- Supports all node types
- Optional auto-resolve for 100% confidence matches
Installation
- Clone or download this repository
- Place it in your ComfyUI custom_nodes/ directory
- Restart ComfyUI
Usage
- Open a workflow with missing models
- Click the "🔗 — Model Linker" button in ComfyUI's top menu bar
- Review missing models and their suggested matches
- Click "Resolve" for individual models or "Auto-Resolve 100% Matches" for perfect matches
- Save your workflow when ready
Features
- Subgraph Support: Automatically detects and handles missing models inside subgraphs
- Smart Matching: Shows 100% confidence matches when available, otherwise shows best matches (≥70% confidence)
- Fuzzy Matching: Uses intelligent similarity scoring to find model files even with different naming
- Auto-Resolve: One-click resolution for all perfect matches
Languages
JavaScript
47.5%
Python
45.7%
CSS
6.8%
