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README.md

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 license: mit
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-This is a controlnet for [Waifu Diffusion 1.5 beta 2](https://huggingface.co/waifu-diffusion/wd-1-5-beta2) which aims to guide image generation by conditioning outputs with images from a common category of the training target examples. The current checkpoint has been trained for approx. 100k steps on a filtered subset of (Danbooru 2021)[https://gwern.net/danbooru2021] using artists as the conditioned category with the aim of learning robust style transfer from an image example.
+Proof of concept made for the [Huggingface JAX/Diffusers community sprint](https://github.com/huggingface/community-events/tree/main/jax-controlnet-sprint)
+
+[Demo available here](https://huggingface.co/spaces/Cognomen/CatCon-Controlnet-WD-1-5-b2)
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+This is a controlnet for the Stable Diffusion checkpoint [Waifu Diffusion 1.5 beta 2](https://huggingface.co/waifu-diffusion/wd-1-5-beta2) which aims to guide image generation by conditioning outputs with patches of images from a common category of the training target examples. The current checkpoint has been trained for approx. 100k steps on a filtered subset of (Danbooru 2021)[https://gwern.net/danbooru2021] using artists as the conditioned category with the aim of learning robust style transfer from an image example.
 
 Major limitations: