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# Outputs |
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All model outputs are subclasses of [`~utils.BaseOutput`], data structures containing all the information returned by the model. The outputs can also be used as tuples or dictionaries. |
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For example: |
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```python |
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from diffusers import DDIMPipeline |
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pipeline = DDIMPipeline.from_pretrained("google/ddpm-cifar10-32") |
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outputs = pipeline() |
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``` |
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The `outputs` object is a [`~pipelines.ImagePipelineOutput`] which means it has an image attribute. |
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You can access each attribute as you normally would or with a keyword lookup, and if that attribute is not returned by the model, you will get `None`: |
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```python |
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outputs.images |
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outputs["images"] |
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``` |
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When considering the `outputs` object as a tuple, it only considers the attributes that don't have `None` values. |
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For instance, retrieving an image by indexing into it returns the tuple `(outputs.images)`: |
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```python |
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outputs[:1] |
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``` |
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<Tip> |
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To check a specific pipeline or model output, refer to its corresponding API documentation. |
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</Tip> |
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## BaseOutput |
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[[autodoc]] utils.BaseOutput |
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- to_tuple |
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## ImagePipelineOutput |
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[[autodoc]] pipelines.ImagePipelineOutput |
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## FlaxImagePipelineOutput |
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[[autodoc]] pipelines.pipeline_flax_utils.FlaxImagePipelineOutput |
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## AudioPipelineOutput |
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[[autodoc]] pipelines.AudioPipelineOutput |
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## ImageTextPipelineOutput |
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[[autodoc]] ImageTextPipelineOutput |
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