patrickvonplaten sayakpaul HF staff commited on
Commit
3dd0970
1 Parent(s): bc45132

Simplify image loading (#1)

Browse files

- Update README.md (92980448b67adf966e50aaf590800d97075b53b5)
- import torch (889434a47227d6659d17b96ff968ccf9bc1edf12)


Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +3 -7
README.md CHANGED
@@ -42,20 +42,16 @@ 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 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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  pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-unclip-small", torch_dtype=torch.float16)
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  pipe.to("cuda")
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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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  # run image variation
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  image = pipe(image).images[0]
 
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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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  from diffusers import DiffusionPipeline
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+ from diffusers.utils import load_image
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+ import torch
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  pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-unclip-small", torch_dtype=torch.float16)
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  pipe.to("cuda")
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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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+ image = load_image(url)
 
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  # run image variation
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  image = pipe(image).images[0]