OpenGVLab/DragGAN

Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持Windows, macOS, Linux)

38
/ 100
Emerging

This tool helps graphic designers, artists, and content creators interactively edit AI-generated images. You input an existing AI-generated image and, by clicking and dragging points on it, you can precisely control elements like object position, shape, or pose. It allows for intuitive manipulation, like moving a cat's head or changing a horse's leg position, directly on the visual output.

4,967 stars. No commits in the last 6 months.

Use this if you need fine-grained control to adjust specific features within an AI-generated image through direct, point-and-click manipulation.

Not ideal if you want to generate images from scratch with text prompts, perform general image editing on photographs, or require highly precise, pixel-level manipulation for non-AI images.

generative-art digital-imaging graphic-design visual-content-creation image-manipulation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 20 / 25

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Stars

4,967

Forks

482

Language

Python

License

Last pushed

Jul 17, 2023

Commits (30d)

0

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