Comments (7)
+1 I'd also love to try out the celeba model.
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Thank you for the question.
You can directly load the CelebA-HQ model by using "—config celeba.yml". However, you will need to create your own mask and image, upload the file to the "colab_demo directory", and then change "—npy_name" argument to be the name of the file. More details can be found at
https://github.com/ermongroup/SDEdit/blob/main/runners/image_editing.py#L108
We are currently working on an interactive interface for creating masks and editing images.
Let me know if you have any other questions. Thank you.
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@chenlin9 How can we create our own mask and image. Is it .pth file?
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I've already solved it. just using torch.save()
for example.
torch.save([test_mask, test_img_tensor], './colab_demo/test_image.pth')
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How can you create CelebA-HQ mask?
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Related Issues (12)
- Paper release HOT 1
- r u gonna release your datasets for editing by any chance?
- How to change the step length or the total denoising steps (N), so that the image generation process could be faster?
- How to re-train a model with VP-SDE? HOT 1
- some questions HOT 1
- TypeError in Colab demo HOT 5
- License? HOT 1
- how use custom images strokes? HOT 4
- Training code? HOT 2
- Generate hd images HOT 1
- Wrong repository for training the models? HOT 2
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