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Robin Rombach 2023-03-24 13:18:19 +01:00
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README.md
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## News
**March 24, 2023**
*Stable UnCLIP 2.1*

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doc/UNCLIP.MD
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[unCLIP](https://openai.com/dall-e-2/) is the approach behind OpenAI's [DALL·E 2](https://openai.com/dall-e-2/),
trained to invert CLIP image embeddings.
We finetuned SD 2.1 to accept a CLIP ViT-L/14 image embedding in addition to the text encodings.
This means that the model can be used to produce image variations, but can also be combined with a text-to-image
This means that the model can be used to produce image variations, but can also be combined with a text-to-image
embedding prior to yield a full text-to-image model at 768x768 resolution.
If you would like to try a demo of this model on the web, please visit https://clipdrop.co/stable-diffusion-reimagine