Update README.md

README.md

@@ -17,14 +17,28 @@ will soon work on video models as well. Our main team consists of:
 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).
+<details>
+<summary>
+  Paella
+</summary>
+  <ul>
+    <li>A simple & straightforward text-conditional image generation model that works on quantized latents.</li>
+    <li>More details can be found in the <a href="https://arxiv.org/abs/2211.07292v2">paper</a>, the <a href="https://laion.ai/blog/paella/">blog post</a> and the <a href="https://www.youtube.com/watch?v=zdE1I6kYKYc">YouTube video</a>.</li>
+    <li>Only accessible through <a href="https://github.com/dome272/Paella">GitHub</a>.</li>
+  </ul>
+</details>
 
-  - Versions:
-    - v1: Only accessible through GitHub.
-    - v2: Accessible through diffusers
+<details>
+<summary>
+  Würstchen
+</summary>
+  <ul>
+    <li>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.</li>
+    <li>More details can be found in the <a href="https://arxiv.org/abs/2306.006372">paper</a>.</li>
+    <li>Versions:</li>
+    <ul>
+      <li>v1: Only accessible through <a href="https://github.com/dome272/Wuerstchen/">GitHub</a>.</li>
+      <li>v2: Accessible through <a href="https://github.com/dome272/Wuerstchen/">GitHub</a> and Diffusers</li>
+    </ul>
+  </ul>
+</details>