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A newer version of the Gradio SDK is available:
6.8.0
metadata
title: AI Image Editor - Palette Swapper
emoji: 🎨
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.4.0
app_file: app.py
pinned: false
AI Image Editor - Palette Swapper
Upload an image, extract its color palette, then swap colors using color theory harmonies with AI-enhanced recoloring.
Features
- Color Palette Extraction: K-means clustering extracts dominant colors with proportions
- Intelligent Palette Transform: Preserves tonal relationships (light/dark, saturated/muted)
- Color Harmonies: Complementary, Analogous, Triadic, Split-Complementary, Tetradic, Monochromatic
- AI-Enhanced Recoloring: InstructPix2Pix uses your K-means palette as context to recolor naturally
- Reference Image: Extract palette from another image to apply
- Custom Mapping: Dropdown controls to map source colors to target colors
How It Works
- Upload an image to extract its color palette (K-means clustering)
- Pick a base color - this becomes the new dominant color
- Choose a harmony type - determines how other colors branch from the base
- Generate the target palette (preserves tonal relationships from source)
- Apply the palette swap:
- Basic mode: Pixel-level color replacement based on K-means distance
- AI mode: InstructPix2Pix uses your palette mapping as context to recolor while preserving lighting, textures, and natural transitions
The Hybrid Architecture
Your K-means algorithm provides the "what" and "where":
- Identifies dominant color clusters
- Generates masks for each color region
The AI provides intelligent application:
- Understands scene context (sky vs. shirt vs. car)
- Preserves shadows, highlights, and textures
- Creates natural color transitions
Tech Stack
- Gradio: Web interface
- InstructPix2Pix: AI-enhanced recoloring (via diffusers)
- scikit-learn: K-means clustering for palette extraction
- Pillow: Image processing
- colorsys: HSV color space transformations