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

README.md

@@ -2,7 +2,7 @@
 thumbnail: "https://repository-images.githubusercontent.com/523487884/fdb03a69-8353-4387-b5fc-0d85f888a63f"
 datasets:
 - ChristophSchuhmann/improved_aesthetics_6plus
-license: other
+license: creativeml-openrail-m
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
@@ -12,15 +12,19 @@ tags:
 # Stable Diffusion Image Variations Model Card
 
 📣 V2 model released, and blurriness issues fixed! 📣
+
 🧨🎉 Image Variations is now natively supported in 🤗 Diffusers! 🎉🧨
 
+![](https://raw.githubusercontent.com/justinpinkney/stable-diffusion/main/assets/im-vars-thin.jpg)
+
 ## Version 2
 
 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).
 
 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
 
-![](https://raw.githubusercontent.com/justinpinkney/stable-diffusion/main/assets/im-vars-thin.jpg)
+See training details and v1 vs v2 comparison below.
+
 
 ## Example