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Diffusion is a random process that is computationally demanding. You may need to run the [`DiffusionPipeline`] several times before getting a desired output. That's why it's important to carefully balance generation speed and memory usage in order to iterate faster,
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This guide recommends some basic performance tips for using the [`DiffusionPipeline`]. Refer to the Inference Optimization section for more detailed performance guides.
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This guide recommends some basic performance tips for using the [`DiffusionPipeline`]. Refer to the Inference Optimization section docs such as [Accelerate inference](./optimization/fp16) or [Reduce memory usage](./optimization/memory)for more detailed performance guides.
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