openai/consistencydecoder
OpenAI's consistency decoder is an improved VAE decoder for Stable Diffusion that produces higher quality images than standard GAN-based decoders.
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This repository provides OpenAI’s consistency decoder, a distilled diffusion-based variational autoencoder decoder designed to replace the standard GAN decoder in Stable Diffusion pipelines. It takes latents from Stable Diffusion’s VAE encoder and decodes them into higher quality images with better fidelity. The model is approximately 2.49 GB and runs on CUDA devices.
Frequently asked
- What is openai/consistencydecoder?
- OpenAI's consistency decoder is an improved VAE decoder for Stable Diffusion that produces higher quality images than standard GAN-based decoders.
- Is consistencydecoder open source?
- Yes — openai/consistencydecoder is open source, released under the MIT license.
- What language is consistencydecoder written in?
- openai/consistencydecoder is primarily written in Python.
- How popular is consistencydecoder?
- openai/consistencydecoder has 2.2k stars on GitHub.
- Where can I find consistencydecoder?
- openai/consistencydecoder is on GitHub at https://github.com/openai/consistencydecoder.