o-1 to their corresponding class instances, e.g. StableDiffusionPipeline for runwayml/stable-diffusion-v1-5
This can be better understood by looking at an example. Let’s load a pipeline class instance pipe and print it:


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from diffusers import DiffusionPipeline

repo_id = "runwayml/stable-diffusion-v1-5"
pipe = DiffusionPipeline.from_pretrained(repo_id)
print(pipe)
Output:


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StableDiffusionPipeline {
  "feature_extractor": [
   