--- license: apache-2.0 --- [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). 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. 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). ## Stable Diffusion HPU configuration This model only contains the `GaudiConfig` file for running **Stable Diffusion v2** (e.g. [stabilityai/stable-diffusion-2-1](https://huggingface.co/stabilityai/stable-diffusion-2-1)) on Habana's Gaudi processors (HPU). **This model contains no model weights, only a GaudiConfig.** This enables to specify: - `use_torch_autocast`: whether to use *torch Autocast for mixed precision - `hmp_bf16_ops`: list of operators that should run in bf16 - `hmp_fp32_ops`: list of operators that should run in fp32 ## Usage The `GaudiStableDiffusionPipeline` (`GaudiDDIMScheduler`) is instantiated the same way as the `StableDiffusionPipeline` (`DDIMScheduler`) in the 🤗 Diffusers library. The only difference is that there are a few new training arguments specific to HPUs. Here is an example with one prompt: ```python from optimum.habana import GaudiConfig from optimum.habana.diffusers import GaudiDDIMScheduler, GaudiStableDiffusionPipeline model_name = "stabilityai/stable-diffusion-2-1" scheduler = GaudiDDIMScheduler.from_pretrained(model_name, subfolder="scheduler") pipeline = GaudiStableDiffusionPipeline.from_pretrained( model_name, height=768, width=768, scheduler=scheduler, use_habana=True, use_hpu_graphs=True, gaudi_config="Habana/stable-diffusion-2", ) outputs = pipeline( ["An image of a squirrel in Picasso style"], num_images_per_prompt=6, batch_size=2, ) ``` 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.