Wuerstchen

Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models (by dome272)
Review diffusion-models Efficiency Machine Learning stable-diffusion
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dome272
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Wuerstchen reviews and mentions

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  • Like Diffusion but Faster: The Paella Model for Fast Image Generation
    4 projects | news.ycombinator.com | 26 Jun 2023
    Fully correct, also the v2 of the paper introduced a model that is bigger and slower, however generates better images. So the 500ms was only for the first model we introduced in v1. I also want to mention our new work as it is very much related to this whole topic of "speeding up models" -> either training or sampling: Würstchen: https://github.com/dome272/wuerstchen/

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over 2 years ago

dome272/Wuerstchen is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of Wuerstchen is Jupyter Notebook.

Popular Comparisons

  1. Wuerstchen VS Gen-L-Video
  2. Wuerstchen VS CrossAttentionControl
  3. Wuerstchen VS Paella
  4. Wuerstchen VS stable-diffusion-aesthetic-gradients
  5. Wuerstchen VS onediff
  6. Wuerstchen VS Pytorch
  7. Wuerstchen VS Attend-and-Excite
  8. Wuerstchen VS diffusion_models
  9. Wuerstchen VS MultiDiffusion
  10. Wuerstchen VS Cozy-Auto-Texture

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