a359ff7644
* Fix typos, update, add Copyright info, and trim trailing whitespaces * Update docs/source/en/api/loaders.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/models/autoencoder_tiny.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/models/autoencoder_tiny.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
1.9 KiB
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:
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:
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):
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