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add: space within docs to calculate mememory usage.
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@@ -60,6 +60,23 @@ repo_id = "runwayml/stable-diffusion-v1-5"
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pipe = StableDiffusionImg2ImgPipeline.from_pretrained(repo_id)
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```
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You can estimate the memory requirements of a pipeline you want to load beforehand with [this Space](https://huggingface.co/spaces/diffusers/compute-pipeline-size/).
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<div class="block dark:hidden">
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<iframe
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src="https://diffusers-compute-pipeline-size.hf.space?__theme=light"
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width="850"
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height="1600"
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></iframe>
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</div>
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<div class="hidden dark:block">
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<iframe
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src="https://diffusers-compute-pipeline-size.hf.space?__theme=dark"
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width="850"
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height="1600"
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></iframe>
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</div>
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### Local pipeline
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To load a diffusion pipeline locally, use [`git-lfs`](https://git-lfs.github.com/) to manually download the checkpoint (in this case, [`runwayml/stable-diffusion-v1-5`](https://huggingface.co/runwayml/stable-diffusion-v1-5)) to your local disk. This creates a local folder, `./stable-diffusion-v1-5`, on your disk:
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