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Merge branch 'main' of https://huggingface.co/lambdalabs/sd-image-variations-diffusers into main

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  thumbnail: "https://repository-images.githubusercontent.com/523487884/fdb03a69-8353-4387-b5fc-0d85f888a63f"
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  datasets:
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  - ChristophSchuhmann/improved_aesthetics_6plus
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- license: other
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
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  # Stable Diffusion Image Variations Model Card
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  πŸ“£ V2 model released, and blurriness issues fixed! πŸ“£
 
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  πŸ§¨πŸŽ‰ Image Variations is now natively supported in πŸ€— Diffusers! πŸŽ‰πŸ§¨
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  ## Version 2
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  This version of Stable Diffusion has been fine tuned from [CompVis/stable-diffusion-v1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) to accept CLIP image embedding rather than text embeddings. This allows the creation of "image variations" similar to DALLE-2 using Stable Diffusion. This version of the weights has been ported to huggingface Diffusers, to use this with the Diffusers library requires the [Lambda Diffusers repo](https://github.com/LambdaLabsML/lambda-diffusers).
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  This model was trained in two stages and longer than the original variations model and gives better image quality and better CLIP rated similarity compared to the original version
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- ![](https://raw.githubusercontent.com/justinpinkney/stable-diffusion/main/assets/im-vars-thin.jpg)
 
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  ## Example
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  thumbnail: "https://repository-images.githubusercontent.com/523487884/fdb03a69-8353-4387-b5fc-0d85f888a63f"
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  datasets:
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  - ChristophSchuhmann/improved_aesthetics_6plus
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+ license: creativeml-openrail-m
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
 
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  # Stable Diffusion Image Variations Model Card
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  πŸ“£ V2 model released, and blurriness issues fixed! πŸ“£
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+
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  πŸ§¨πŸŽ‰ Image Variations is now natively supported in πŸ€— Diffusers! πŸŽ‰πŸ§¨
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+ ![](https://raw.githubusercontent.com/justinpinkney/stable-diffusion/main/assets/im-vars-thin.jpg)
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+
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  ## Version 2
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  This version of Stable Diffusion has been fine tuned from [CompVis/stable-diffusion-v1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) to accept CLIP image embedding rather than text embeddings. This allows the creation of "image variations" similar to DALLE-2 using Stable Diffusion. This version of the weights has been ported to huggingface Diffusers, to use this with the Diffusers library requires the [Lambda Diffusers repo](https://github.com/LambdaLabsML/lambda-diffusers).
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  This model was trained in two stages and longer than the original variations model and gives better image quality and better CLIP rated similarity compared to the original version
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+ See training details and v1 vs v2 comparison below.
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+
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  ## Example
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