Poor performance on custom instance #11
Description
Thank you for your work, the performance of the provided demo is excellent.
I follow your instruction and train my own concept model by DreamBooth with text-encoder fine-tuned.
Through validation, it can generate some good imgs itself.
However, when I use it as the concept model and run the swap func, I cannot get meaningful results, even in any combinations of [cross_map_replace_steps, self_output_replace_steps, self_map_replace_steps].
I wonder which part is wrong?
I think the step1 may have some mistakes, because when I change it to the provided taylor, the results are good with the same source img, but the concept model I trained can already generate the target concept.