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Hi, Author. There is always a certain probability that a watermark will be generated in the middle of the image when using the trained model to generate it. What is the reason for this? I would be very grateful if you could answer.
Thanks, in this case, I want to use assets/ckpts/imagenet256-450000.ckpt for training, I just modify config.resume_root in configs/custom.py, but it doesn't seem to work. Can you provide a entire configuration file that supports continue training from assets/ckpts/imagenet256-450000.ckpt?
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zideliu commentedon Jul 5, 2023
The base model is trained on the CC3M dataset containing watermarked data
xyxxmb commentedon Jul 5, 2023
Thanks, in this case, I want to use
assets/ckpts/imagenet256-450000.ckptfor training, I just modifyconfig.resume_rootinconfigs/custom.py, but it doesn't seem to work. Can you provide a entire configuration file that supports continue training fromassets/ckpts/imagenet256-450000.ckpt?zideliu commentedon Jul 5, 2023
For this work, we just train an adapter, if you want to resume from the
.ckpt, you can get what you want inREADME_MUSE.md