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# Outputs
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.
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
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