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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.
Midjourney is the most advanced AI image generator that we tested. It not only produced the highest visual fidelity, but also cranked out equally impressive human anatomy (i.e.: hands, feet, legs ...
Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [116] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [117] and reweighting training data. [118]
Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
If you grew up in a covered 12-foot hole in the Earth, and only had a laptop running the latest version of the Stable Diffusion AI image generator, then you would believe that there was no such ...
He uses AI to generate images of himself advertising AI tools and companies that he is an affiliate for. Reiner then uses AI to automatically post those images across more than 40 social media ...
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