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Update distributed_inference.md to include transformer.device_map #9553

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Oct 8, 2024
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Update distributed_inference.md to include transformer.device_map #9553

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Update distributed_inference.md to include `transformer.device_map`
sayakpaul Sep 29, 2024
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Update docs/source/en/training/distributed_inference.md
sayakpaul Oct 8, 2024
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Merge branch 'main' into sayakpaul-patch-1
sayakpaul Oct 8, 2024
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2 changes: 1 addition & 1 deletion docs/source/en/training/distributed_inference.md
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Expand Up @@ -177,7 +177,7 @@ transformer = FluxTransformer2DModel.from_pretrained(
```

> [!TIP]
> At any point, you can try `print(pipeline.hf_device_map)` to see how the various models are distributed across devices. This is useful for tracking the device placement of the models.
> At any point, you can try `print(pipeline.hf_device_map)` to see how the various models are distributed across devices. This is useful for tracking the device placement of the models. You can also try `print(transformer.hf_device_map)` to see how the individual `transformer` model has been sharded across devices.

Add the transformer model to the pipeline for denoising, but set the other model-level components like the text encoders and VAE to `None` because you don't need them yet.

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