Research interests

WARP is a fully open-source collective featuring: - Würstchen (W) - Arroz-Con-Cosas (A) - Risotto (R) - Paella (P)

Organization Card
About org cards
Welcome to WARP. This is our little organization for multimodal generative models, focusing on the visual domain. We have been working with generative image models a lot and will soon work on video models as well. Our main team consists of:

A special thanks to the Model Database Team for helping to bring our research to Diffusers! (Special thanks to Kashif, Patrick and Sayak!)

Feel free to join our Discord channel!

Models:

Paella
  • A simple & straightforward text-conditional image generation model that works on quantized latents.
  • More details can be found in the paper, the blog post and the YouTube video.
  • Only accessible through GitHub.
Würstchen
  • An efficient text-to-image model to train and use for inference. Achieves competetive performance to state-of-the-art methods, while needing only a fraction of the compute.
  • More details can be found in the paper.
  • Versions:

datasets

None public yet