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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. In 2022, the output of state-of-the-art text-to ...
Stable Diffusion. 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 .
Place the image on the left side of the page. The article text that follows the image flows around the image, but there may be formatting issues with lists and indented text (see § Interaction between left-floating images and lists). center Place the image in the center of the page. The article text that follows the image is placed below the ...
In order to maximize images' usefulness in all languages, avoid including text within them. Instead, add text, links, references, etc., to images using Template:Annotated image or Template:Annotated image 4, which can also be used to expand the area around an image or crop and enlarge part of an image—all without the need for uploading a new ...
Text-to-image personalization. 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.
Photo-text, also written as photo/text, is a hybrid form of artistic expression that combines photography and textual elements to convey a message or create a narrative. This combination allows for a multi-dimensional experience for the viewer.
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