About DragGAN
DragGAN is an interactive point-based manipulation tool for generative images, based on StyleGAN. Users can drag points to manipulate the image manifold. This is the official code for the SIGGRAPH 2023 paper 'Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold'. It provides a Gradio demo, a GUI, and Docker support. It works on CUDA, MacOS (M1/M2), and CPU. The code is built on StyleGAN3 and includes pre-trained StyleGAN2 weights. For real images, GAN inversion is required before editing.
Key Features
Pros & Cons
- Open-source with clear documentation
- Interactive and intuitive point-based editing
- Supports multiple platforms (CUDA, MacOS, CPU)
- Published as SIGGRAPH 2023 paper
- Large Docker image (~25 GB)
- Requires CUDA for optimal performance; CPU-only is slow
- Editing real images requires separate GAN inversion step
- CC-BY-NC license may limit commercial use (algorithm part)
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