, but also the state of the optimizer, data loaders, and learning rate.
If you have "accelerate>=0.16.0" installed, use the following code to run
inference from an intermediate checkpoint.


	Copied
from diffusers import DiffusionPipeline, UNet2DConditionModel
from transformers import CLIPTextModel
import torch

# Load the pipeline with the same arguments (model, revision) that were used for training
model_id = "CompVis/stable-diffusion-v1-4"

