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* why mdx? * why mdx? * why mdx? * no x for kandinksy either --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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Pipelines
The [DiffusionPipeline] is the quickest way to load any pretrained diffusion pipeline from the Hub for inference.
You shouldn't use the [DiffusionPipeline] class for training or finetuning a diffusion model. Individual
components (for example, [UNet2DModel] and [UNet2DConditionModel]) of diffusion pipelines are usually trained individually, so we suggest directly working with them instead.
The pipeline type (for example [StableDiffusionPipeline]) of any diffusion pipeline loaded with [~DiffusionPipeline.from_pretrained] is automatically
detected and pipeline components are loaded and passed to the __init__ function of the pipeline.
Any pipeline object can be saved locally with [~DiffusionPipeline.save_pretrained].
DiffusionPipeline
autodoc DiffusionPipeline - all - call - device - to - components