
Inference
	
Now you can use the model for inference by loading the base model in the StableDiffusionPipeline:


	Copied
>>> import torch
>>> from diffusers import StableDiffusionPipeline

>>> model_base = "runwayml/stable-diffusion-v1-5"

>>> pipe = StableDiffusionPipeline.from_pretrained(model_base, torch_dtype=torch.float16)
Load the LoRA weights from your finetuned DreamBooth model on top of the base model weights, and then move the pipelin