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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.
On Artbreeder, users mainly interact through the remixing - referred to as 'breeding' - of other users' images found in the publicly accessible database of images. [1] The creation of new variations can be done by tweaking sliders on an image's page, known as "genes", which in the "Portraits" model can range from color balance to gender, facial ...
Given an existing image, DALL-E 2 can produce "variations" of the image as individual outputs based on the original, as well as edit the image to modify or expand upon it. DALL-E 2's "inpainting" and "outpainting" use context from an image to fill in missing areas using a medium consistent with the original, following a given prompt.
The GAN uses a "generator" to create new images and a "discriminator" to decide which created images are considered successful. [32] Unlike previous algorithmic art that followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images.
An image generated by Flux using the prompt an astronaut riding a horse, by Picasso and Juan Gris. Generative image models are adept at imitating the visual style of particular artists in their training set, prompting a backlash from some artists who object to having imitations of their style generated on a massive scale without their permission.
Legend: File formats: the image or video formats allowed for uploading; IPTC support: support for the IPTC image header . Yes - IPTC headers are read upon upload and exposed via the web interface; properties such as captions and keywords are written back to the IPTC header and saved along with the photo when downloading or e-mailing it