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  This ECLIPSE model weight is a tiny (33M parameter) non-diffusion text-to-image prior model trained on 5M LAION-HighRes subset data.
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- Despite being so small and trained on limited amount of data, ECLIPSE priors achieves results that of 1 Billion parameter T2I prior models trained on millions of image-text pairs.
 
 
 
 
 
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  ## Installation
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  ```bash
 
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  This ECLIPSE model weight is a tiny (33M parameter) non-diffusion text-to-image prior model trained on 5M LAION-HighRes subset data.
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+ 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.
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+ Project Page: [https://eclipse-t2i.vercel.app](https://eclipse-t2i.vercel.app)
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+ GitHub: [https://github.com/eclipse-t2i/eclipse-inference](https://github.com/eclipse-t2i/eclipse-inference)
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  ## Installation
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  ```bash