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A text-to-image model is a machine learning model which takes as input a natural language description and produces an image matching that description. Such models began to be developed in the mid-2010s, as a result of advances in deep neural networks. In 2022, the output of state of the art text-to-image models, such as OpenAI's DALL-E, Google Brain's Imagen and StabilityAI's Stable diffusion began to approach the quality of real photographs and human-drawn art.

Pages in category "Models"

The following 9 pages are in this category, out of 9 total.