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@@ -35,7 +35,32 @@ prompt: gothic fractals
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  #### How to use
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  ```python
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- # TODO: add an example code snippet for running this diffusion pipeline
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  #### Limitations and bias
 
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  #### How to use
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  ```python
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+ from datasets import Dataset
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+ from pathlib import Path
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+ from PIL import Image
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+
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+ face_synthetics = Path("images/original")
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+ canny_synthetics = Path("images/canny_images")
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+
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+ def entry_for_id(entry_id):
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+ if type(entry_id) == int:
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+ entry_id = f"{entry_id:05}"
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+ image = Image.open(face_synthetics/f"fractal_{entry_id}.jpg")
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+ image_seg = Image.open(canny_synthetics/f"canny_fractal_{entry_id}.jpg")
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+ caption = "gothic fractals"
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+ return {
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+ "image": image,
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+ "canny_images": image_seg,
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+ "caption": caption,
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+ }
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+
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+
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+ def generate_entries():
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+ for x in range(1, 6463): # Start from 1 and go up to 6462
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+ yield entry_for_id(x)
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+
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+ ds = Dataset.from_generator(generate_entries)
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+ ds.push_to_hub('Jieya/fractal_image_6462')
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  ```
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  #### Limitations and bias