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I was wondering if some people tested the diffusion training process with few images ( 1000 or less) and obtained good results ?
I am working with rare pathology images, and I have only 300 of them. I am seeing some unexpected behavior on the generated samples (lack of diversity, color shifts etc...)
As far as I am aware, diffusion models work better with low training data points than GANs ?
Thank you
The text was updated successfully, but these errors were encountered:
Hello, I am currently training on my own dataset, but at the beginning, I encountered the following problem. May I ask how to solve it? Thank you very much
RuntimeError: Default process group has not been initialized, please make sure to call init_process_group.
Hi !
I was wondering if some people tested the diffusion training process with few images ( 1000 or less) and obtained good results ?
I am working with rare pathology images, and I have only 300 of them. I am seeing some unexpected behavior on the generated samples (lack of diversity, color shifts etc...)
As far as I am aware, diffusion models work better with low training data points than GANs ?
Thank you
The text was updated successfully, but these errors were encountered: