Stable Diffusion 3 leverages the Diffusion Transformer (DiT) architecture, integrating advanced noise predictors and sampling techniques to produce high-quality images. The model uses distinct weights for image and language representations, ensuring precise and coherent text generation within images. Users input text prompts via the API, which the model converts into detailed and accurate images.
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