# 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] ``` To check a specific pipeline or model output, refer to its corresponding API documentation. ## BaseOutput [[autodoc]] utils.BaseOutput - to_tuple ## ImagePipelineOutput [[autodoc]] pipelines.ImagePipelineOutput ## FlaxImagePipelineOutput [[autodoc]] pipelines.pipeline_flax_utils.FlaxImagePipelineOutput ## AudioPipelineOutput [[autodoc]] pipelines.AudioPipelineOutput ## ImageTextPipelineOutput [[autodoc]] ImageTextPipelineOutput