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Files changed (5) hide show
  1. fantasy_landscape_0.png +2 -2
  2. fantasy_landscape_1.png +2 -2
  3. fantasy_landscape_2.png +2 -2
  4. fantasy_landscape_3.png +2 -2
  5. run.py +2 -4
fantasy_landscape_0.png CHANGED

Git LFS Details

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Git LFS Details

  • SHA256: c04ea19f95e22ec28c8bcd779173453a11ffd714ef2e670a8b3a0945b38fe050
  • Pointer size: 131 Bytes
  • Size of remote file: 846 kB
fantasy_landscape_1.png CHANGED

Git LFS Details

  • SHA256: 1142e6ea7ff8e67e39682d650746174af66a77f4bfba3e917380ce2d31a9aebb
  • Pointer size: 131 Bytes
  • Size of remote file: 814 kB

Git LFS Details

  • SHA256: 522bdd438df9c41507e5fd799be6cfcd601f5cb02f78bb4d04fb4348465e4395
  • Pointer size: 131 Bytes
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fantasy_landscape_2.png CHANGED

Git LFS Details

  • SHA256: 709dbc73df4b1c7b5f2df5950c42647e3ada81e22a719082cc7a888c2607a4f9
  • Pointer size: 131 Bytes
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Git LFS Details

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  • Pointer size: 131 Bytes
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fantasy_landscape_3.png CHANGED

Git LFS Details

  • SHA256: 51f9a5225fc22cd0835aeb2439d11ecc69d79976792ddc322fca7c8194501c62
  • Pointer size: 131 Bytes
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Git LFS Details

  • SHA256: efcc39431416fc90a642fb52d1fa141653736e6d28cf9d2345f5fdb1929c1740
  • Pointer size: 131 Bytes
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run.py CHANGED
@@ -6,10 +6,10 @@ import time
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  from diffusers import DiffusionPipeline
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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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- url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(12).png"
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  #url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(10).png"
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  #url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(10).png"
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  #url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(10).png"
@@ -18,8 +18,6 @@ response = requests.get(url)
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  init_image = Image.open(BytesIO(response.content)).convert("RGB")
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  # init_image = init_image.resize((768, 512))
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- prompt = "A fantasy landscape, trending on artstation"
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-
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  images = pipe(4 * [init_image]).images
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  for i in range(len(images)):
 
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  from diffusers import DiffusionPipeline
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+ pipe = DiffusionPipeline.from_pretrained("/home/patrick_huggingface_co/stable-diffusion-2-1-unclip-i2i-l", torch_dtype=torch.float16)
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  pipe.to("cuda")
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+ url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(13).png"
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  #url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(10).png"
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  #url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(10).png"
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  #url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/image%20(10).png"
 
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  init_image = Image.open(BytesIO(response.content)).convert("RGB")
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  # init_image = init_image.resize((768, 512))
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  images = pipe(4 * [init_image]).images
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  for i in range(len(images)):