Closed icandle closed 3 weeks ago
Hello, have you tried a version without using KL loss? How does the model perform in training when only using L2 loss and LPIPS loss?
It will be more stable but unable to generating more details.
Hello, we have open-sourced the training code, and we hope this can help you!
Hi author, thanks for the enlightening work! When I try to reimplement OSEDiff, I find fine-tuning VAE and UNet in one stage is hard to converge. Do you have any recommendations/tricks to stablize this process or they should be trained step by step.