detach unnecessary
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@@ -70,9 +70,9 @@ images = model.generate_images(
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To get an image into PIL format you will have to first move the images to the CPU and convert the tensor to a numpy array.
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```python
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images = images.to('cpu').detach().numpy()
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images = images.to('cpu').numpy()
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```
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Then image $i$ can be coverted to a PIL.Image and saved with its `save` method
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Then image $i$ can be coverted to a PIL.Image and saved
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```python
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image = Image.fromarray(images[i])
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image.save('image_{}.png'.format(i))
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