Generative artificial intelligence (AI) has historically struggled to produce consistent images, often misinterpreting details such as fingers and facial symmetry.
Moreover, when prompted to generate images of different sizes and resolutions, these models can fail.
Rice University computer scientists have developed a new method for generating images using pre-trained diffusion models to curb such issues.
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