Update README.md

README.md

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+<img src="https://github.com/dome272/Wuerstchen/assets/61938694/0617c863-165a-43ee-9303-2a17299a0cf9">
+Welcome to <b>WARP</b>. This is our little organization for multimodal generative models focussing 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:
 
-Edit this `README.md` markdown file to author your organization card.
+- [Pablo Pernias](https://github.com/pabloppp/)
+- [Dominic Rampas](https://github.com/dome272)
+
+
+Feel free to join our [Discord](https://discord.gg/BTUAzb8vFY) channel!
+
+Models:
+- [Paella](https://github.com/dome272/Paella):
+  - A simple & straightforward text-conditional image generation model that works on quantized latents.
+  - More details can be found in the [paper](https://arxiv.org/abs/2211.07292v2), the [blog post](https://laion.ai/blog/paella/) and the [YouTube video](https://www.youtube.com/watch?v=zdE1I6kYKYc).
+  - 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](https://arxiv.org/abs/2306.00637).
+
+  - Versions:
+    - v1: Only accessible through GitHub.
+    - v2: Accessible through diffusers