Update README.md


README.md

@@ -4,11 +4,45 @@ language:
 - en
 ---
 # yumekawa_diffusion  
-Generate a "Yumekawaii" image;   
 
-do not use too many Prompts.   
+[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jUvv2RXEFo-fQVSSzVBs7vU22au3OLcC?usp=sharing#scrollTo=Ri6jRc9kAust) 
+Generate a "Yumekawaii" image  
 
-Negative Prompt should be low quality, bad face, bad hands, etc.
+Do not use too many Prompts.   
+
+Negative Prompt should be low quality, bad face, bad hands, etc.  
+
+
+<img src="https://s3.amazonaws.com/moonup/production/uploads/1673848269039-63056e2d99870e13d3df4e73.png" width="900" >
+
+# How to run 
+
+You can run in Google colab[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jUvv2RXEFo-fQVSSzVBs7vU22au3OLcC?usp=sharing#scrollTo=Ri6jRc9kAust) 
+
+Use [🤗HuggingFace Diffusers library](https://github.com/huggingface/diffusers)  
+
+clone the library  
+```
+pip install --upgrade git+https://github.com/huggingface/diffusers.git transformers accelerate scipy
+```
+and run folowing scripts 
+
+```python
+import torch
+from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
+
+model_id = "teftef/yumekawa_diffusion_ver2.1"
+
+scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
+pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler)
+pipe = pipe.to("cuda")
+
+prompt = "a girl"
+negative_prompt="low quality,bad face,bad anatomy,bad hand"
+image = pipe(prompt,negative_prompt=negative_prompt).images[0]
+
+image.save("output_img.png")
+```
 
 # Result