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Hi, thank you for sharing this impressive work! I have a question: how can I train the model using a custom loss function that compares the generated image with the ground truth? Thank you in advance.
The text was updated successfully, but these errors were encountered:
We based our diffusion model on this work Diffusion Models beat GANs. There the loss function is defined as an MSE loss between added and predicted noise. It has shown to be stable.
If you still want to change it, you can change it here
Hi, thank you for sharing this impressive work! I have a question: how can I train the model using a custom loss function that compares the generated image with the ground truth? Thank you in advance.
The text was updated successfully, but these errors were encountered: