#117 · Primary category: Image Generation
Paint-by-Example
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Project last updated:11/28/23
GitHub Stars
1.3K
Forks
113
Contributors
7
License
Other
Why we included this project
Image editors and designers who need precise control over a repaint will like this project's approach: instead of describing the change in words, you supply a mask and a reference image, and the diffusion model repaints the masked area to match the reference. That distinction matters when you want, say, a garment swapped for another garment's style shown in a sample photo. The method runs a single forward pass, so it's easy to reason about and integrate, and the repo includes training and inference code plus a quantitative test benchmark for reproducibility. A live Hugging Face demo gets you from paper to a working edit quickly.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
stable-diffusion-webui
Stable Diffusion web UI
ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
upscayl
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
InvokeAI
InvokeAI is a leading open-source creative engine for Stable Diffusion, offering an industry-leading web UI for generating and editing visual media.