, specify the path to where the model is saved, and use it for inference in the StableDiffusionPipeline. Make sure your prompts include the special identifier used during training (sks in the previous examples).
If you have "accelerate>=0.16.0" installed, you can use the following code to run
inference from an intermediate checkpoint:


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from diffusers import DiffusionPipeline
import torch

model_id = "path_to_saved_model"
pipe = Diffusi