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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.
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.
For example, Lensa, an AI app that trended on TikTok in 2023, was known to lighten black skin, make users thinner, and generate hypersexualized images of women. [99] Melissa Heikkilä, a senior reporter at MIT Technology Review , shared the findings of an experiment using Lensa, noting that the generated avatars did not resemble her and often ...
Adobe Firefly is developed using Adobe's Sensei platform. Firefly is trained with images from Creative Commons, Wikimedia and Flickr Commons as well as 300 million images and videos in Adobe Stock and the public domain. [4] [5] [6] It uses image data sets to generate various designs. [7] It learns from user feedback by adjusting its designs ...
DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]
The script outputs an image file based on the model's interpretation of the prompt. [8] Generated images are tagged with an invisible digital watermark to allow users to identify an image as generated by Stable Diffusion, [8] although this watermark loses its efficacy if the image is resized or rotated. [51]