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Pixart-α is a text-to-image diffusion model that generates high-resolution images with competitive quality using only 10.8% of the training time compared to Stable Diffusion v1.5. This article explores the optimization of text-to-image training, the architecture and training strategy of Pixart-α, and compares the image quality of Pixart-α with Stable Diffusion XL.

PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation