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View Code? Open in Web Editor NEWPyTorch DDPM implementation
PyTorch DDPM implementation
ValueError: args.log_to_wandb set to True but args.project_name is None
how to solve it?
ValueError: args.log_to_wandb set to True but args.project_name is None
how to solve it?
The authors of the original paper suggest using a dropout rate of 0.1 to achieve better quality.
@abarankab Thanks your work, How to run the train scripts train_cifar.py, do you have a simple command such as
python3 train_cifar.py **
UNet currently adds bias between two convolutional blocks in residual block as a means of class/timestep conditioning. Another option would be to use featurewise linear modulation or AdaIN.
Use this project for reference.
where is the weight of your diffusion model code
are those samples newly created or just reproduced from the CIFAR10 dataset?
Something similar to this paper. Another option would be to add self-attention like in SAGAN architecture. This is more computationally heavy but should work well on small resolutions.
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