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ldm-celebahq-256

Unconditional Image Generation
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PyTorch
LDMPipeline
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6
patrickvonplaten commited on
Commit
31e2197
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1 Parent(s): 5d6cca4

change image processing

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Files changed (3) hide show
  1. generated_image_pipeline.png +0 -0
  2. generated_image_unrolled.png +0 -0
  3. run.py +2 -2
generated_image_pipeline.png CHANGED
generated_image_unrolled.png CHANGED
run.py CHANGED
@@ -46,7 +46,7 @@ with torch.no_grad():
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  # process image
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  image_processed = image.cpu().permute(0, 2, 3, 1)
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- image_processed = image_processed * 255.
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  image_processed = image_processed.numpy().astype(np.uint8)
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  image_pil = PIL.Image.fromarray(image_processed[0])
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@@ -69,7 +69,7 @@ image = pipeline(generator=generator, num_inference_steps=50)["sample"]
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  # process image
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  image_processed = image.cpu().permute(0, 2, 3, 1)
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- image_processed = image_processed * 255.
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  image_processed = image_processed.numpy().astype(np.uint8)
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  image_pil = PIL.Image.fromarray(image_processed[0])
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  # process image
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  image_processed = image.cpu().permute(0, 2, 3, 1)
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+ image_processed = (image_processed + 1.0) * 127.5
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  image_processed = image_processed.numpy().astype(np.uint8)
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  image_pil = PIL.Image.fromarray(image_processed[0])
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  # process image
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  image_processed = image.cpu().permute(0, 2, 3, 1)
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+ image_processed = (image_processed + 1.0) * 127.5
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  image_processed = image_processed.numpy().astype(np.uint8)
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  image_pil = PIL.Image.fromarray(image_processed[0])
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