dels.

Inference
	
During inference, diffusion pipelines heavily rely on random sampling operations, such as the creating the
gaussian noise tensors to be denoised and adding noise to the scheduling step.
Let’s have a look at an example. We run the DDIM pipeline
for just two inference steps and return a numpy tensor to look into the numerical values of the output.


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from diffusers import DDIMPipeline
import numpy as np

model_id = "goog