nick8592/text-guided-image-colorization
This repository provides an interactive image colorization tool that leverages Stable Diffusion (SDXL) and BLIP for user-controlled color generation. With a retrained model using the ControlNet approach, users can upload images and specify colors for different objects, enhancing the colorization process through a user-friendly Gradio interface.
This tool helps you transform grayscale images into vibrant, colorized versions, giving you control over the color of specific objects. You upload a black and white image and then, optionally, describe what colors you want for different elements within it. The output is a high-quality, fully colorized image. It's perfect for graphic designers, photographers, or anyone working with historical images.
103 stars. No commits in the last 6 months.
Use this if you need to add custom, realistic colors to black and white images with precise control over individual objects.
Not ideal if you prefer a fully automated colorization process without user input or if you need to perform batch processing of many images.
Stars
103
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10
Language
Python
License
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Last pushed
Nov 23, 2024
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