Hi. Thank you for your implementation of the paper.
While I was looking at your code, I couldn't understand whether the model being trained each loop is the model that was trained in the previous loop, or you are calling a vanilla SDXL model every loop.
Can you tell me what is right, and where the appropriate code for my question is ?
I think it's the model from the previous round of the loop. In the paper, it is said that continuous training in multiple rounds finally achieves the desired effect
Hi. Thank you for your implementation of the paper.
While I was looking at your code, I couldn't understand whether the model being trained each loop is the model that was trained in the previous loop, or you are calling a vanilla SDXL model every loop.
Can you tell me what is right, and where the appropriate code for my question is ?