Deci AI has recently launched the DeciDiffusion 1.0 text-to-image generation model, which boasts a parameter count of 820 million, tripling the generation speed of Stable Diffusion. DeciDiffusion 1.0 employs an innovative U-Net-NAS network architecture and is optimized through a four-stage training process, significantly enhancing both image quality and computational efficiency. User surveys conducted by the research team indicate that images generated by DeciDiffusion 1.0 are superior in aesthetics to those from Stable Diffusion 1.5, with comparable text matching capabilities. It can be said that DeciDiffusion 1.0 represents a significant advancement in the development of text-to-image generation technology, and is poised to drive the implementation of this technology in more practical applications.
Deci AI Launches DeciDiffusion 1.0, an 820 Million Parameter Text-to-Image Generation Model

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