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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]
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.
Active digital footprints are deliberate, as they are posted or shared information willingly. They can also be stored in a variety of ways depending on the situation. A digital footprint can be stored when a user logs into a site and makes a post or change; the registered name is connected to the edit in an online environment. Examples of ...
Here are the steps to take to erase your digital footprint. 1. Set your social media settings to private: "There is no good reason for your personal information to be public-facing on social media ...
Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [128] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [ 129 ] and reweighting training data.
The software's name is a portmanteau of the names of animated robot Pixar character WALL-E and the Catalan surrealist artist Salvador Dalí. [ 15 ] [ 5 ] In February 2024, OpenAI began adding watermarks to DALL-E generated images, containing metadata in the C2PA (Coalition for Content Provenance and Authenticity) standard promoted by the ...
Digital footprints accumulate through all of the content shared, feedback provided and information that created online. [40] Due to the fact that if someone has a bad online reputation, he can easily change his pseudonym, new accounts on sites such as eBay or Amazon are usually distrusted.
To mitigate some deceptions, OpenAI developed a tool in 2024 to detect images that were generated by DALL-E 3. [129] In testing, this tool accurately identified DALL-E 3-generated images approximately 98% of the time. The tool is also fairly capable of recognizing images that have been visually modified by users post-generation. [130]