Comments (7)
@coolbunnyx is there any chance you could share the script you used to train this?
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meeting the same problem,Have you solved this problem?
@coolbunnyx
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meeting the same problem,Have you solved this problem? @coolbunnyx
I've given it up; not sure if the issue is the code or just me lacking the computing resources to make it converge quickly to the right solution. Intuitively, it should converge to something similar to the input image instead of getting pixelated, though I might be wrong.
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@lucidrains do you have any comment, I am facing the same issue
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Trained the model on a set of 10K images (randomly cropped 128 x 128 patches) for 6K iteration with a batch size of 8. The output looks pixelated. Is this what is expected, or the output should somehow look similar to the input? Any feedbacks are appreciated!
Could you please share your config for training? I just cannot reproduce anything except the black blocks. Many thanks!
from magvit2-pytorch.
Trained the model on a set of 10K images (randomly cropped 128 x 128 patches) for 6K iteration with a batch size of 8. The output looks pixelated. Is this what is expected, or the output should somehow look similar to the input? Any feedbacks are appreciated!
Could you please share your config for training? I just cannot reproduce anything except the black blocks. Many thanks!
It may work if you turn off the use_gan.
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@lucidrains @Borhanv-nd I'm running into the same situation, do you have any comments on this issue? Do I need to train more steps?
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Related Issues (20)
- Running with GAN raises RuntimeError HOT 8
- Discriminator loss converges to zero early in training HOT 9
- Large scale training HOT 17
- Running multi-gpu hangs after first step HOT 9
- Is there any requirement on the training images? HOT 3
- object has no attribute 'has_multiscale_discrs' HOT 2
- weights HOT 1
- Unsuccessful image reconstruction HOT 3
- expired discord invitation HOT 3
- pretrained weights
- ‘video_contains_first_frame’ in encoder HOT 1
- recon images is black HOT 9
- Question about casual 3d cnn HOT 1
- The configuration of training
- Is there anyone success to train this model? HOT 24
- Running multi-gpu training HOT 5
- About training steps and correctness. HOT 3
- Error while loading the states of optimizer in Trainer - def load(self, path)
- Is there any pretrained weights for debug? HOT 1
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