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  1. README.md +16 -8
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@@ -43,15 +43,23 @@ pip install git+https://github.com/diffusers.git transformers accelerate scipy s
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  Running the pipeline (if you don't swap the scheduler it will run with the default DDIM, in this example we are swapping it to DPMSolverMultistepScheduler):
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  ```python
 
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  import torch
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- from diffusers import StableUnCLIPPipeline
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- pipe = StableUnCLIPPipeline.from_pretrained(
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- "stabilityai/stable-diffusion-2-1-unclip", torch_dtype=torch.float16
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- )
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- pipe = pipe.to("cuda")
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- prompt = "a photo of an astronaut riding a horse on mars"
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- images = pipe(prompt).images
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- images[0].save("astronaut_horse.png")
 
 
 
 
 
 
 
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  ```
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  # Uses
 
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  Running the pipeline (if you don't swap the scheduler it will run with the default DDIM, in this example we are swapping it to DPMSolverMultistepScheduler):
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  ```python
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+ import requests
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  import torch
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+ from PIL import Image
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+ from io import BytesIO
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+
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+ from diffusers import DiffusionPipeline
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+
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+ pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-unclip", torch_dtype=torch.float16, variant="fp16")
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+ pipe.to("cuda")
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+
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+ # get image
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+ url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/tarsila_do_amaral.png"
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+ response = requests.get(url)
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+ image = Image.open(BytesIO(response.content)).convert("RGB")
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+
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+ # run image variation
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+ image = pipe(image).images[0]
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  ```
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  # Uses