Manus Invitation Code Application Guide
1057
English
English
In the field of digital creation, how to efficiently and accurately color liner drawings has always been a major challenge for animators, illustrators and digital art creators. Today, a research team from the Hong Kong University of Science and Technology has brought innovative solutions to this problem - MagicColor .
This is an open source tool based on advanced AI diffusion models that can intelligently analyze multiple objects in line drafts and colorize them in instances. Whether it is character design, animation storyboard, or game art, MagicColor can greatly improve efficiency and visual consistency.
1. Real "multi-instance" line draft coloring
Traditional automatic coloring tools are often targeted only in a single topic and are difficult to deal with complex scenes. The advantage of MagicColor is that it supports independent identification and shading of multiple instances , and each element can be understood and processed separately, such as multiple characters or items in a picture.
Improved user experience : The artist does not need to select objects one by one. MagicColor can complete high-quality coloring of the entire picture in one forward reasoning, which improves the efficiency exponentially.
2. Guided color control to ensure consistent style
You can upload a reference picture, and MagicColor will intelligently extract its colors and styles and map it accurately to the corresponding parts in the line drawing. Through instance-level alignment and feature matching , even complex pictures can maintain the overall visual style consistent.
For example : You can use an old work as a reference to quickly generate new sketch works with consistent styles to maintain creative unity.
3. Edge and structure perception to avoid "blurred pictures"
MagicColor introduces edge loss functions and structure perception mechanisms to allow AI to pay more attention to the outline, high-frequency areas and details of the object when coloring, which means that the final image will not have the "blurred edge" problem like traditional AI coloring.
MagicColor is excellent because it brings together multiple cutting-edge technologies:
| Technical modules | Function description |
|---|---|
| Diffusion Model | Based on the stable diffusion architecture, ensure the clarity and consistency of generated images |
| Dual UNet structure | Process reference images and sketches separately to fully integrate the characteristics of the two |
| Self-supervised training | Do not rely on a large number of manual annotations, use two-stage generation of synthetic data training to improve model generalization capabilities |
| DINOv2 Feature Extraction + ROI Alignment | Accurately extract the features of each instance in the reference image to achieve fine color control |
| Color matching mechanism | Pixel-level matching target map and reference map, making color restoration more natural |
✅Animation production
Quickly color multi-character sketches to maintain style consistency and greatly improve efficiency.
✅Digital Art Creation
Supports repeated iterations and multiple version generation to release creativity and save coloring time .
✅Game Art and Asset Production
A variety of color styles that can batch generate scenes or character sketches to facilitate rapid prototype development .
✅Art teaching and training
As a visual aid, it helps students master color use and line draft understanding.
✅Commercial /Visual Media
Quickly generate color sketches with consistent styles for brand illustrations, social content, etc.
Project homepage : https://yinhan-zhang.github.io/color/
GitHub source code repository : https://github.com/YinHan-Zhang/MagicColor
Technical paper (arXiv) : Click here to read PDF
The open source framework is detailed, and beginners can also quickly get started through official documents and sample projects.
MagicColor is not about replacing artists, but wants to be their creative accelerator : helping you quickly complete repetitive labor, test more color schemes, and visualize inspiration faster. For digital art enthusiasts, animation creators, and AI developers, it is not only a tool, but also a platform for learning and improvement.
