et the scheduler to LCMScheduler. Load the LCM-LoRA weights for the model. Reduce the guidance_scale between [1.0, 2.0] and set the num_inference_steps between [4, 8]. Perform inference with the pipeline with the usual parameters. Let’s look at how we can perform inference with LCM-LoRAs for different tasks. First, make sure you have peft installed, for better LoRA support.   Copied pip install -U peft  Text-to-image You’ll use the StableDiffus