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@@ -151,6 +151,6 @@ with torch.no_grad():
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model.first_stage_model.cpu()
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import cv2
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samples = einops.rearrange(samples, 'b c h w -> b h w c')[0] * 255.0
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samples = einops.rearrange(samples, 'b c h w -> b h w c')[0, :, :, ::-1] * 255.0
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samples = samples.cpu().numpy().clip(0, 255).astype(np.uint8)
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cv2.imwrite('img.png', samples)
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