orch.float16)
>>> pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
Load the LoRA weights from your finetuned model on top of the base model weights, and then move the pipeline to a GPU for faster inference. When you merge the LoRA weights with the frozen pretrained model weights, you can optionally adjust how much of the weights to merge with the scale parameter:
💡 A scale value of 0 is the same as not using your 