Update README

README.md

@@ -12,17 +12,32 @@ inference: true
 
 # Stable Diffusion Nano 2.1
 
+Stable Diffusion Nano was built during the [JAX/Diffusers community sprint 🧨](jaxsprint).
+
+Based on stable diffusion and fine-tuned on 128x128 images, Stable Diffusion Nano
+allows for fast prototyping of diffusion models, enabling quick experimentation
+with easily available hardware.
+
+It performs reasonably well on several tasks, but it struggles with small details
+such as faces.
+
+jaxsprint: https://github.com/huggingface/community-events/tree/main/jax-controlnet-sprint#jaxdiffusers-community-sprint-
+
 prompt: A watercolor painting of an otter
 
 ![images_0)](./images_0.png)
 
-prompt: Marvel MCU deadpool, red mask, red shirt, red gloves, black shoulders, black elbow pads, black legs, gold buckle, black belt, black mask, white eyes, black boots, fuji low light color 35mm film, downtown Osaka alley at night out of focus in background, neon lights
+prompt: Marvel MCU deadpool, red mask, red shirt, red gloves, black shoulders,
+black elbow pads, black legs, gold buckle, black belt, black mask, white eyes,
+black boots, fuji low light color 35mm film, downtown Osaka alley at night out
+of focus in background, neon lights
 
 ![images_1)](./images_1.png)
 
 
 ## Training details
-All parameters were initialized from the [stabilityai/stable-diffusion-2-1-base](sd21) model. The unet was fine tuned as follows:
+All parameters were initialized from the [stabilityai/stable-diffusion-2-1-base](sd21)
+model. The unet was fine tuned as follows:
 
 U-net fine-tuning:
 - 200,000 steps, learning rate = 1e-5, batch size = 992 (248 per TPU).
@@ -33,7 +48,8 @@ sd21: https://huggingface.co/stabilityai/stable-diffusion-2-1-base
 laion: https://huggingface.co/datasets/ChristophSchuhmann/improved_aesthetics_6plus
 
 ## License
-This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
+This model is open access and available to all, with a CreativeML OpenRAIL-M license
+further specifying rights and usage. The CreativeML OpenRAIL License specifies:
 
 - You can't use the model to deliberately produce nor share illegal or harmful outputs or content.
 - The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license.