NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-08T23:46:38Z http://www.open-lab.net/blog/feed/ Zhiyu Cheng <![CDATA[NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization]]> http://www.open-lab.net/blog/?p=78835 2024-04-09T23:45:30Z 2024-03-08T01:17:34Z In the dynamic realm of generative AI, diffusion models stand out as the most powerful architecture for generating high-quality images with text prompts. Models...]]> In the dynamic realm of generative AI, diffusion models stand out as the most powerful architecture for generating high-quality images with text prompts. Models...Four images compared against three modes for quality.

In the dynamic realm of generative AI, diffusion models stand out as the most powerful architecture for generating high-quality images with text prompts. Models like Stable Diffusion have revolutionized creative applications. However, the inference process of diffusion models can be computationally intensive due to the iterative denoising steps required. This presents significant challenges��

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