Guo-chunyu

Guo-chunyu / Chaning.G-s-Lrlab

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This is a professional photography post-processing workflow that integrates the aesthetic characteristics of large language models (LLM) with neural network-level color grading algorithms. It can directly bridge your camera RAW folders/photo collections with AI inspiration, and then generate Lightroom `.XMP` presets with one click.

13
1
80% credibility
Found Jun 02, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An AI-powered photo color grading workstation that analyzes your images, suggests professional Lightroom-style presets, and lets you preview before/after effects in real-time before exporting settings to use in Lightroom Classic.

How It Works

1
📷 Open the color grading studio

You enter the app and see a sleek splash screen offering two ways to work: Quick Mode for instant AI suggestions, or Professional Mode for custom creative directions.

2
📁 Load your photos

You import a folder of photos from your computer, or explore the built-in demo gallery to see what the tool can do.

3
✨ Let AI analyze your photo

With one click, the AI studies your image and generates three beautiful color grading recommendations, each with a descriptive name and professional reasoning.

4
🎨 Choose your style

You pick a suggested style or browse through curated film simulations, cinematic looks, and camera color profiles to find the perfect mood.

5
🔧 Fine-tune with sliders

You open the detailed panel and adjust exposure, color temperature, shadows, and individual color channels until everything looks exactly right.

6
⚖️ Compare before and after

You drag the comparison slider back and forth to see the original photo next to your color-graded version, watching the transformation in real-time.

📤 Export your settings

You download your color grading as an Adobe XMP file, ready to import directly into Lightroom Classic to apply the same look to your photos.

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AI-Generated Review

What is Chaning.G-s-Lrlab?

This is an AI-powered color grading workstation that bridges your photo library with machine learning aesthetics. Built with TypeScript and React, it analyzes your images and generates Lightroom-compatible presets on demand. You import photos, the AI suggests multiple grading styles with explanations, you tweak parameters manually, and export real .XMP files ready for Lightroom Classic. The preview engine does actual pixel-level processing through Canvas 2D, not just CSS filters, so what you see is what you get. It also includes a tone curve visualizer and a before/after slider for comparing results.

Why is it gaining traction?

The hook is the AI analysis loop: feed it a photo, get three distinct grading recommendations ranked by suitability, pick one, export. For photographers who know what they want but don't want to manually dial in 40+ sliders, this cuts the workflow from minutes to seconds. The offline fallback mode is clever too - without an API key, it generates plausible presets based on filename heuristics, so the app stays functional for demos. The HSL color mixer with eight channels and parametric tone curve controls give it depth that browser-based alternatives lack.

Who should use this?

Portrait photographers who edit large batches and want consistent skin-tone presets. Landscape shooters who want quick cinematic looks without buying yet another preset pack. Developers building photography tools who need a reference implementation for Lightroom parameter mapping. Not ideal for teams needing production-grade stability - the star count and single-developer authorship mean you're along for the ride on updates.

Verdict

Worth bookmarking if you live in Lightroom and want AI-assisted starting points. The credibility score of 0.800000011920929% reflects a young, single-author project with minimal community validation. Try it locally, export a few presets, and decide if the workflow fits your editing style before committing.

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