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README.md
vendored
4
README.md
vendored
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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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@ -161,7 +161,7 @@ class MinDalle:
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grid_size = int(sqrt(images.shape[0]))
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images = images.reshape([grid_size] * 2 + list(images.shape[1:]))
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image = images.flatten(1, 2).transpose(0, 1).flatten(1, 2)
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image = Image.fromarray(image.to('cpu').detach().numpy())
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image = Image.fromarray(image.to('cpu').numpy())
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return image
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