34 lines
1.5 KiB
Plaintext
34 lines
1.5 KiB
Plaintext
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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# Diffusion Pipeline
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The [`DiffusionPipeline`] is the easiest way to load any pretrained diffusion pipeline from the [Hub](https://huggingface.co/models?library=diffusers) and to use it in inference.
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<Tip>
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One should not use the Diffusion Pipeline class for training or fine-tuning a diffusion model. Individual
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components of diffusion pipelines are usually trained individually, so we suggest to directly work
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with [`UNetModel`] and [`UNetConditionModel`].
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</Tip>
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Any diffusion pipeline that is loaded with [`~DiffusionPipeline.from_pretrained`] will automatically
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detect the pipeline type, *e.g.* [`StableDiffusionPipeline`] and consequently load each component of the
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pipeline and pass them into the `__init__` function of the pipeline, *e.g.* [`~StableDiffusionPipeline.__init__`].
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Any pipeline object can be saved locally with [`~DiffusionPipeline.save_pretrained`].
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[[autodoc]] DiffusionPipeline
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- from_pretrained
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- save_pretrained
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