Hello, I would like to ask about the parameters in the diffusion model and classifier： predict_xstart, rescale_timesteps, rescale_learned_sigmas, classifier_use_scale_shift_norm, classifier_resblock_updown, classifier_pool, use_checkpoint, use_scale_shift_norm, resblock_updown, use_fp16 and use_new_attention_order, etc. What do they mean? How should it be set during training?
Hello, I would like to ask about the parameters in the diffusion model and classifier： predict_xstart, rescale_timesteps, rescale_learned_sigmas, classifier_use_scale_shift_norm, classifier_resblock_updown, classifier_pool, use_checkpoint, use_scale_shift_norm, resblock_updown, use_fp16 and use_new_attention_order, etc. What do they mean? How should it be set during training?