18 lines
1.0 KiB
Markdown
18 lines
1.0 KiB
Markdown
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## Diffusers examples with Intel optimizations
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**This research project is not actively maintained by the diffusers team. For any questions or comments, please make sure to tag @hshen14 .**
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This aims to provide diffusers examples with Intel optimizations such as Bfloat16 for training/fine-tuning acceleration and 8-bit integer (INT8) for inference acceleration on Intel platforms.
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## Accelerating the fine-tuning for textual inversion
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We accelereate the fine-tuning for textual inversion with Intel Extension for PyTorch. The [examples](textual_inversion) enable both single node and multi-node distributed training with Bfloat16 support on Intel Xeon Scalable Processor.
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## Accelerating the inference for Stable Diffusion using Bfloat16
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We start the inference acceleration with Bfloat16 using Intel Extension for PyTorch. The [script](inference_bf16.py) is generally designed to support standard Stable Diffusion models with Bfloat16 support.
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## Accelerating the inference for Stable Diffusion using INT8
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Coming soon ...
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