lucasgattas

lucasgattas / ComfyUI-Egregora-Adaptive-Colorfix

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Custom ComfyUI node for adaptive color fixing with stronger edge protection and luminance-aware chroma fusion

egregoralabs.com adain color colorfix wavelet
19
1
100% credibility
Found Apr 08, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A custom ComfyUI node that applies advanced color matching from a reference image to a target image, reducing artifacts in AI generation, upscaling, and restoration tasks.

How It Works

1
👀 Discover the color fixer

While working on AI images in ComfyUI, you find this helpful tool that makes colors match perfectly between pictures without weird artifacts.

2
📥 Add to your workspace

You copy the tool's files into your ComfyUI extras folder to make it ready for use.

3
🔄 Refresh your app

Restart ComfyUI so the new color fixer appears in your list of tools.

4
🖼️ Pick your images

Choose a reference picture with the colors you love and a target picture that needs those colors applied.

5
⚙️ Tune the magic sliders

Slide controls for color strength, edge protection, and more until it feels just right for your images.

6
▶️ Run and watch

Hit go on your workflow and see the target image transform with smooth, matching colors.

✨ Perfect color harmony

Enjoy your image with consistent, vibrant colors that look natural and professional, ready for sharing or printing.

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Star Growth

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AI-Generated Review

What is ComfyUI-Egregora-Adaptive-Colorfix?

This Python custom node for ComfyUI takes a reference image and target image, applying adaptive color correction to match moods and tones while protecting edges and fusing chroma based on luminance. It tackles color drift in AI-generated images, tiled upscaling, and restoration pipelines where structures don't align perfectly—delivering consistent results without halos or washed-out looks. Drop it into your ComfyUI custom nodes folder via git clone from its ComfyUI custom nodes GitHub repo, restart, and wire it into workflows with params like color_strength, edge_safety, and luma_match.

Why is it gaining traction?

It edges out wavelet decompositions (fewer artifacts) and AdaIN-style transfers (keeps local color punch) by gating corrections near mismatches, making backgrounds uniform in multi-tile jobs without detail loss. Devs grab it for reliable reference-guided harmonization in unstable AI flows, plus saturation guards prevent graying. Solid README covers install, recommended starts, and comparisons, easing ComfyUI custom node tutorial hurdles.

Who should use this?

ComfyUI power users building tiled upscaling or enhancement workflows, especially those fighting tile-to-tile color shifts. AI artists restoring refs or matching styles across generated variants. Teams using custom ComfyUI manager for nodes, skipping import failed errors with its clean pyproject.toml deps like torch and opencv.

Verdict

Try it if color fixes plague your ComfyUI pipelines—promising edge protection shines in tests—but 19 stars and 1.0% credibility score flag early maturity with no tests or broad validation. Strong docs make it low-risk to prototype.

(198 words)

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