Update Intel Gaudi doc #11479
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Update Intel Gaudi doc #11479
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
sayakpaul
approved these changes
May 13, 2025
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| Diffusers pipelines can easily be run on Intel Gaudi. Given a pipeline `my_pipeline`, you simply need to do the following: | ||
| ```py | ||
| my_pipeline.to("hpu") |
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I think it might make sense to include a minimal yet fully working example. Maybe for Flux as that's quite popular?
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| > [!TIP] | ||
| > For Gaudi-optimized diffusion pipeline implementations, we recommend using [Optimum for Intel Gaudi](https://huggingface.co/docs/optimum/main/en/habana/index). |
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If we have particular benchmarks that worth mentioning, I'd mention them here briefly to catch the reader's attention.
stevhliu
approved these changes
May 19, 2025
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| ```bash | ||
| python -m pip install --upgrade-strategy eager optimum[habana] | ||
| Diffusers pipelines can easily be run on Intel Gaudi. Given a pipeline `my_pipeline`, you simply need to do the following: |
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Suggested change
| Diffusers pipelines can easily be run on Intel Gaudi. Given a pipeline `my_pipeline`, you simply need to do the following: | |
| Diffusers pipelines can take full advantage of HPU acceleration, even if a pipeline hasn't been added to Optimum Habana yet, with the [GPU Migration Toolkit](https://docs.habana.ai/en/latest/PyTorch/PyTorch_Model_Porting/GPU_Migration_Toolkit/GPU_Migration_Toolkit.html). | |
| Use the `.to()` method to move the pipeline to a HPU as shown below. |
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What does this PR do?
As per title, following #11328.
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