Dariusz L 6d1ecf40e5 Refactor linker UI styles and controls
Major UI refactor for the LinkerManagerDialog: replace dark gradients with translucent theme variables, unify card/match/button styling using transparent borders and inset shadows, and add new utility/button variants (ml-btn-utility, ml-btn-icon-only). Replace manual confidence badge markup with getConfidenceBadge and add getStatusBadge helper. Convert the Locate button into a clickable locatable node chip with icon/title, change combo refresh button to an icon-only control, and update the "other matches" entry to use an inline action class. Small layout/interaction tweaks include hover transforms, adjusted paddings/radii, divider variable, and presenting "Not needed" download state when a perfect local match exists. These changes improve visual consistency, compactness, and UX for locating and selecting matches.
2026-04-25 01:14:58 +02:00
2025-11-04 03:08:32 +01:00
2025-11-04 21:19:19 +01:00

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

Model Linker Interface

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

  1. Clone or download this repository
  2. Place it in your ComfyUI custom_nodes/ directory
  3. Restart ComfyUI

Usage

  1. Open a workflow with missing models
  2. Click the "🔗 — Model Linker" button in ComfyUI's top menu bar
  3. Review missing models and their suggested matches
  4. Click "Resolve" for individual models or "Auto-Resolve 100% Matches" for perfect matches
  5. 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
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Description
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Readme MIT
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