energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
PyTorch implementation of a method for composable image generation using conditional diffusion models like Stable Diffusion.
Not currently ranked — collecting fresh signals.
star history
This repository provides the official implementation of Compositional Visual Generation with Composable Diffusion Models (ECCV 2022). The method extends diffusion models with AND and NOT operators to enable compositional generation—combining multiple concepts or excluding certain elements in generated images. It works with existing conditional diffusion models including Stable Diffusion and Point-E.
Frequently asked
- What is energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch?
- PyTorch implementation of a method for composable image generation using conditional diffusion models like Stable Diffusion.
- Is Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch open source?
- Yes — energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch is an open-source project tracked on heatdrop.
- What language is Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch written in?
- energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch is primarily written in Jupyter Notebook.
- How popular is Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch?
- energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch has 488 stars on GitHub.
- Where can I find Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch?
- energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch is on GitHub at https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch.