c891330f79
* Add examples with Intel optimizations (BF16 fine-tuning and inference) * Remove unused package * Add README for intel_opts and refine the description for research projects * Add notes of intel opts for diffusers |
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README.md
Diffusers examples with Intel optimizations
This research project is not actively maintained by the diffusers team. For any questions or comments, please make sure to tag @hshen14 .
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.
Accelerating the fine-tuning for textual inversion
We accelereate the fine-tuning for textual inversion with Intel Extension for PyTorch. The examples enable both single node and multi-node distributed training with Bfloat16 support on Intel Xeon Scalable Processor.
Accelerating the inference for Stable Diffusion using Bfloat16
We start the inference acceleration with Bfloat16 using Intel Extension for PyTorch. The script is generally designed to support standard Stable Diffusion models with Bfloat16 support.
Accelerating the inference for Stable Diffusion using INT8
Coming soon ...