1fc404ebfded277f0737a8c65219f1d73d17c471
Add extensive observability/logging across ModelLinker and source search modules. __init__.py: introduce summarize_result and log_search_result helpers, replace ad-hoc logger calls with log_info/log_exception, and add start/result/summary logs for local, popular, model_list, HuggingFace and CivitAI searches (including extra metadata like confidence, files_count, results_count). core/sources/civitai.py: log cache hits, API call start, response counts, model/version/file checks, no-result info and improved exception logging. core/sources/huggingface.py: log cache hits, API call start, response counts, per-repo debug info, repo tree sizes, no-result info and improved exception logging. Changes are focused on diagnostics and do not alter core search logic.
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%
