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Update README.md (#2653)
* Update README.md fix 2 bugs: (1) "previous_noisy_sample" should be in the FOR loop in line 87; (2) converting image to INT should be before "Image.fromarray" in line 91 * Apply suggestions from code review --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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@@ -84,13 +84,12 @@ input = noise
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for t in scheduler.timesteps:
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with torch.no_grad():
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noisy_residual = model(input, t).sample
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previous_noisy_sample = scheduler.step(noisy_residual, t, input).prev_sample
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input = previous_noisy_sample
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prev_noisy_sample = scheduler.step(noisy_residual, t, input).prev_sample
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input = prev_noisy_sample
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image = (input / 2 + 0.5).clamp(0, 1)
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image = image.cpu().permute(0, 2, 3, 1).numpy()[0]
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image = Image.fromarray((image * 255)).round().astype("uint8")
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image = Image.fromarray((image * 255).round().astype("uint8"))
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image
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```
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