The improvements in Stable Diffusion architecture and conditioning techniques have significantly enhanced the efficiency and quality of image generation, pushing the boundaries of generative models.
Our research details the multi-aspect training methods employed, which integrate architecture scaling and micro-conditioning to achieve superior performance in image synthesis.
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