Dariusz L 53f52518ff Revamp model linker UI styles and markup
Overhaul the Model Linker dialog styling and related markup. Introduces a new dark theme palette, gradients, shadows, and consistent radii via CSS variables; replaces many inline styles with reusable classes (ml-missing-summary, ml-card, ml-card-header, ml-card-title, ml-card-subtitle, ml-card-actions, ml-combo-*, ml-search-source-bar, ml-search-results, etc.). Improves card layout, badges, chips, buttons, combo (autocomplete) dropdown UI, download/search panels, and responsive behavior. Also updates HTML generation and a few JS hooks (e.g. scoped selector for search source buttons, combo list markup and IDs, search-results container, selected-bar styling) to match the new classes. Purpose: improve visual clarity, consistency, responsiveness and maintainability of the linker UI.
2026-04-24 19:37:35 +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
12 MiB
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Python 46.9%
JavaScript 46.3%
CSS 6.8%