lucidrains/muse-maskgit-pytorch
A PyTorch implementation of Muse, a text-to-image generation model that uses masked generative transformers.
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This repository provides a complete implementation of the Muse text-to-image generation model in PyTorch. It includes a VQGanVAE for encoding images into discrete token sequences and a MaskGitTransformer that generates images from text prompts through iterative masked token prediction. The implementation supports training the VAE component on image folders and then using it with the transformer for text-conditional image synthesis.
Frequently asked
- What is lucidrains/muse-maskgit-pytorch?
- A PyTorch implementation of Muse, a text-to-image generation model that uses masked generative transformers.
- Is muse-maskgit-pytorch open source?
- Yes — lucidrains/muse-maskgit-pytorch is open source, released under the MIT license.
- What language is muse-maskgit-pytorch written in?
- lucidrains/muse-maskgit-pytorch is primarily written in Python.
- How popular is muse-maskgit-pytorch?
- lucidrains/muse-maskgit-pytorch has 918 stars on GitHub.
- Where can I find muse-maskgit-pytorch?
- lucidrains/muse-maskgit-pytorch is on GitHub at https://github.com/lucidrains/muse-maskgit-pytorch.