Dariusz L 6da04270fb Refine Linker UI spacing and button styles
Tighten up LinkerManagerDialog UI: reduce paddings, margins and gaps across cards, columns, rows and inputs to create a more compact layout. Wrap download controls in a new .ml-download-actions container and introduce compact button variants (.ml-btn-sm, .ml-btn-download-main, .ml-btn-download-side, .ml-btn-link-compact) and adjusted icon-only sizes for consistent button sizing. Minor HTML tweaks to download block and match buttons (added compact class on link buttons). Adjust tab active background and shadowing to use theme variable and softer shadows. Remove the inline CivitAI API-key note and add a subtle header bottom border.
2026-04-25 01:45:20 +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
11 MiB
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Python 45.7%
CSS 6.8%