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Merge pull request #216 from apolinario/patch-3

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Fix diffusers code snippet
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Robin Rombach 2023-03-24 18:30:00 +01:00 committed by GitHub
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doc/UNCLIP.MD
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@ -19,19 +19,29 @@ Diffusers integration
Stable UnCLIP Image Variations is integrated with the [🧨 diffusers](https://github.com/huggingface/diffusers) library
```python
#pip install git+https://github.com/huggingface/diffusers.git transformers accelerate
import requests
import torch
from diffusers import StableUnCLIPPipeline
from PIL import Image
from io import BytesIO
pipe = StableUnCLIPPipeline.from_pretrained(
"stabilityai/stable-diffusion-2-1-unclip", torch_dtype=torch.float16
from diffusers import StableUnCLIPImg2ImgPipeline
#Start the StableUnCLIP Image variations pipeline
pipe = StableUnCLIPImg2ImgPipeline.from_pretrained(
"stabilityai/stable-diffusion-2-1-unclip", torch_dtype=torch.float16, variation="fp16"
)
pipe = pipe.to("cuda")
prompt = "a photo of an astronaut riding a horse on mars"
images = pipe(prompt).images
images[0].save("astronaut_horse.png")
#Get image from URL
url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/tarsila_do_amaral.png"
response = requests.get(url)
init_image = Image.open(BytesIO(response.content)).convert("RGB")
#Pipe to make the variation
images = pipe(init_image).images
images[0].save("tarsila_variation.png")
```
Check out the [Stable UnCLIP pipeline docs here](https://huggingface.co/docs/diffusers/api/pipelines/stable_unclip)
Check out the [Stable UnCLIP pipeline docs here](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_unclip)
Streamlit UI demo