Uploaded April 2023 | Updated September 2026, 2 weeks ago
In this video, you will learn how to accelerate image generation with an Intel Sapphire Rapids server. Using Stable Diffusion models, the Intel Extension for PyTorch and system-level optimizations, we're going to cut inference latency from 36+ seconds to 5 seconds!
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- Blog post: huggingface.co/blog/stable-diffusion-inference-intel
- Code: gitlab.com/juliensimon/huggingface-demos/-/tree/main/optimum/stable_diffusion_intel
- Jemalloc: jemalloc.net
- Intel Extension for PyTorch: github.com/intel/intel-extension-for-pytorch
- Intel Sapphire Rapids: en.wikipedia.org/wiki/Sapphire_Rapids
- Intel Advanced Matrix Extensions: en.wikipedia.org/wiki/Advanced_Matrix_Extensions
In this video, you will learn how to accelerate image generation with an Intel Sapphire Rapids server. Using Stable Diffusion models, the Intel Extension for PyTorch and system-level optimizations, we're going to cut inference latency from 36+ seconds to 5 seconds!
⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos ⭐️⭐️⭐️
⭐️⭐️⭐️ Want to buy me a coffee? I can always use more :) buymeacoffee.com/julsimon ⭐️⭐️⭐️
- Blog post: huggingface.co/blog/stable-diffusion-inference-intel
- Code: gitlab.com/juliensimon/huggingface-demos/-/tree/main/optimum/stable_diffusion_intel
- Jemalloc: jemalloc.net
- Intel Extension for PyTorch: github.com/intel/intel-extension-for-pytorch
- Intel Sapphire Rapids: en.wikipedia.org/wiki/Sapphire_Rapids
- Intel Advanced Matrix Extensions: en.wikipedia.org/wiki/Advanced_Matrix_Extensions
