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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 | |