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license: apache-2.0 |
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[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU). |
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It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU settings for different downstream tasks. |
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Learn more about how to take advantage of the power of Habana HPUs to train and deploy Transformers and Diffusers models at [hf.co/hardware/habana](https://huggingface.co./hardware/habana). |
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## Stable Diffusion HPU configuration |
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This model only contains the `GaudiConfig` file for running **Stable Diffusion v1** (e.g. [runwayml/stable-diffusion-v1-5](https://huggingface.co./runwayml/stable-diffusion-v1-5)) on Habana's Gaudi processors (HPU). |
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**This model contains no model weights, only a GaudiConfig.** |
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This enables to specify: |
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- `use_torch_autocast`: whether to use Torch Autocast for managing mixed precision |
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## Usage |
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The `GaudiStableDiffusionPipeline` (`GaudiDDIMScheduler`) is instantiated the same way as the `StableDiffusionPipeline` (`DDIMScheduler`) in the 🤗 Diffusers library. |
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The only difference is that there are a few new training arguments specific to HPUs.\ |
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It is strongly recommended to train this model doing bf16 mixed-precision training for optimal performance and accuracy. |
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Here is an example with one prompt: |
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```python |
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from optimum.habana import GaudiConfig |
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from optimum.habana.diffusers import GaudiDDIMScheduler, GaudiStableDiffusionPipeline |
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model_name = "runwayml/stable-diffusion-v1-5" |
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scheduler = GaudiDDIMScheduler.from_pretrained(model_name, subfolder="scheduler") |
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pipeline = GaudiStableDiffusionPipeline.from_pretrained( |
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model_name, |
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scheduler=scheduler, |
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use_habana=True, |
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use_hpu_graphs=True, |
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gaudi_config="Habana/stable-diffusion", |
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) |
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outputs = pipeline( |
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["An image of a squirrel in Picasso style"], |
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num_images_per_prompt=16, |
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batch_size=4, |
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) |
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``` |
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Check out the [documentation](https://huggingface.co./docs/optimum/habana/usage_guides/stable_diffusion) and [this example](https://github.com/huggingface/optimum-habana/tree/main/examples/stable-diffusion) for more advanced usage. |
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