ustom_pipeline argument. Here the custom_pipeline argument should consist simply of the filename of the community pipeline excluding the .py suffix, e.g. clip_guided_stable_diffusion.
Since community pipelines are often more complex, one can mix loading weights from an official repo id
and passing pipeline modules directly.


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from diffusers import DiffusionPipeline
from transformers import CLIPFeatureExtractor, CLIPModel

clip_model_id 