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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The model is capable of generating legible text in the images compared to other text-to-image models. [1] [2]
As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [184] If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [185]
These models take text prompts as input and use them to generate AI-generated images. Text-to-image models typically do not understand grammar and sentence structure in the same way as large language models, [49] thus may require a different set of prompting techniques. Text-to-image models do not natively understand negation. The prompt "a ...
File:Siberian Husky pho.jpg The file (image) name must be exact (including capitalization, punctuation and spacing) and must include .jpg, .png or other extension. (Image: and File: work the same.) If Wikipedia and Wikimedia Commons both have an image with the specified name, the Wikipedia version is the one that will appear in the article.
XMP standardizes a data model, a serialization format and core properties for the definition and processing of extensible metadata. It also provides guidelines for embedding XMP information into popular image, video and document file formats, such as JPEG and PDF, without breaking their readability by applications that do not support XMP ...
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The TIFF (Tag Image File Format) format is a flexible format usually using either the TIFF or TIF filename extension. The tag structure was designed to be easily extendible, and many vendors have introduced proprietary special-purpose tags – with the result that no one reader handles every flavor of TIFF file.