h where the model was saved. Make sure that your prompts include the special identifier used during training (sks in the previous examples).
Note: If you have installed "accelerate>=0.16.0" you can use the following code to run
inference from an intermediate checkpoint.


	Copied
from diffusers import StableDiffusionPipeline
import torch

model_id = "path_to_saved_model"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch