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A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.
[134] [135] Additionally, an AI-generated image of an attack on the Pentagon went viral as part of a hoax news story on Twitter. [136] [137] In the days before March 2023 indictment of Donald Trump as part of the Stormy Daniels–Donald Trump scandal, several AI-generated images allegedly depicting Trump's arrest went viral online.
Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.
The discrete VAE can convert an image to a sequence of tokens, and conversely, convert a sequence of tokens back to an image. This is necessary as the Transformer does not directly process image data. [22] The input to the Transformer model is a sequence of tokenized image caption followed by tokenized image patches.
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