outputs.mdx

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# BaseOutputs

All models have outputs that are subclasses of [`~utils.BaseOutput`]. Those are
data structures containing all the information returned by the model, but they can also be used as tuples or
dictionaries.

For example:

```python
from diffusers import DDIMPipeline

pipeline = DDIMPipeline.from_pretrained("google/ddpm-cifar10-32")
outputs = pipeline()
```

The `outputs` object is a [`~pipelines.ImagePipelineOutput`] which means it has an image attribute.

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`:

```python
outputs.images
outputs["images"]
```

When considering the `outputs` object as a tuple, it only considers the attributes that don't have `None` values.
For instance, retrieving an image by indexing into it returns the tuple `(outputs.images)`:

```python
outputs[:1]
```

<Tip>

To check a specific pipeline or model output, refer to its corresponding API documentation.

</Tip>

## BaseOutput

[[autodoc]] utils.BaseOutput
    - to_tuple

## ImagePipelineOutput

[[autodoc]] pipelines.ImagePipelineOutput

## FlaxImagePipelineOutput

[[autodoc]] pipelines.pipeline_flax_utils.FlaxImagePipelineOutput

## AudioPipelineOutput

[[autodoc]] pipelines.AudioPipelineOutput

## ImageTextPipelineOutput

[[autodoc]] ImageTextPipelineOutput