#DistriFusion - Twitter Hashtag

over 1 year ago

Need multi-GPU diffusion model?explore #DistriFusion, available in #TensorRT-LLM

Muyang Li @lmxyy1999

over 1 year ago

🚀 Our #DistriFusion is now integrated in NVIDIA's TensorRT-LLM to demonstrate distributed inference for high-resolution image generation! A huge thank you to the community for the invaluable code contributions! 🎨✨ Link: https://t.co/cnY9D0NU2M

lmxyy1999's tweet photo. 🚀 Our #DistriFusion is now integrated in NVIDIA's TensorRT-LLM to demonstrate distributed inference for high-resolution image generation! A huge thank you to the community for the invaluable code contributions! 🎨✨

Link: https://t.co/cnY9D0NU2M https://t.co/tCgmsWqI8l

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Muyang Li @lmxyy1999

over 1 year ago

🚀 Our #DistriFusion is now integrated in NVIDIA's TensorRT-LLM to demonstrate distributed inference for high-resolution image generation! A huge thank you to the community for the invaluable code contributions! 🎨✨ Link: https://t.co/cnY9D0NU2M

Muyang Li @lmxyy1999

over 2 years ago

As #Sora shows us, the future of diffusion model will be HIGH resolution with intense compute. Can we break the speed barrier with distributed inference like LLMs? Meet DistriFusion, a distributed inference framework speeding up SDXL by up to 6.1×. It’s accepted by CVPR24!(1/6)

lmxyy1999's tweet photo. As #Sora shows us, the future of diffusion model will be HIGH resolution with intense compute. Can we break the speed barrier with distributed inference like LLMs?
Meet DistriFusion, a distributed inference framework speeding up SDXL by up to 6.1×. It’s accepted by CVPR24!(1/6) https://t.co/4cpa31HhTR

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Song Han @songhan_mit

over 2 years ago

🚀 Excited to introduce #DistriFusion, our latest innovation to supercharge high-resolution image generation using diffusion models across multiple GPUs! 🌟 Achieve up to 6.1× speedup without sacrificing quality. https://t.co/f6BHiA8aqA, CVPR'24

Muyang Li @lmxyy1999

over 2 years ago

As #Sora shows us, the future of diffusion model will be HIGH resolution with intense compute. Can we break the speed barrier with distributed inference like LLMs? Meet DistriFusion, a distributed inference framework speeding up SDXL by up to 6.1×. It’s accepted by CVPR24!(1/6)

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