Optimize Stable Diffusion on Intel CPUs with NNCF and 🤗 Optimum

AI Impact Summary

Stable Diffusion optimization using NNCF and 🤗 Optimum on Intel CPUs represents a significant shift towards accessible image generation. The workflow, incorporating Token Merging, 8-bit quantization, and Knowledge Distillation, achieves a 5.1x inference acceleration and a 4x model footprint reduction compared to PyTorch, demonstrating the potential for running complex models on resource-constrained hardware. This approach is particularly relevant for edge computing and applications requiring low-latency image synthesis.