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ECLIPSE_KandinskyV22_Prior

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mpatel57 commited on Dec 10, 2023

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@@ -17,10 +17,15 @@ This ECLIPSE model weight is a tiny (33M parameter) non-diffusion text-to-image
 Despite being so small and trained on a limited amount of data, ECLIPSE priors achieve results that of 1 Billion parameter T2I prior models trained on millions of image-text pairs.
-Project Page: [https://eclipse-t2i.vercel.app](https://eclipse-t2i.vercel.app)
-GitHub: [https://github.com/eclipse-t2i/eclipse-inference](https://github.com/eclipse-t2i/eclipse-inference)
 ## Installation
 ```bash

 Despite being so small and trained on a limited amount of data, ECLIPSE priors achieve results that of 1 Billion parameter T2I prior models trained on millions of image-text pairs.
+- **Project Page:** [https://eclipse-t2i.vercel.app](https://eclipse-t2i.vercel.app)
+- **GitHub:** [https://github.com/eclipse-t2i/eclipse-inference](https://github.com/eclipse-t2i/eclipse-inference)
+## Evaluations
+![Qualitative Examples](./assets/example.png)
+![Results](./assets/results.png)
 ## Installation
 ```bash