Open aimarxjg opened 10 months ago
OK, I'll investigate it.
An important note: For those GPUs that do not support bfloat16, please change this line to torch_dtype = torch.float16, the speed will be greatly improved (1min/img (before) vs. 14s/img (after) on V100). The minimum GPU memory requirement for PhotoMaker is 15G.
This is an alternative solution.
谢谢您的指导~
Please refer to this URL: https://zenn.dev/neoai/articles/cedda3d17f0a70, for using LCM-LoRA with our PhotoMaker. This blog also provides many analyses. It is interesting.
已经在COMFY里面成功使用,也蛮像的
但是8G卡特别慢(1070TI),默认50步出图我花4000秒........我想使用XL的TURBO或者LCM模型来加速,需要修改采样器调度器CFG等参数,谢谢拉~😉