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  2. Artbreeder - Wikipedia

    en.wikipedia.org/wiki/Artbreeder

    Artbreeder, formerly known as Ganbreeder, [4] is a collaborative, machine learning-based art website. Using the models StyleGAN and BigGAN, [4] [5] the website allows users to generate and modify images of faces, landscapes, and paintings, among other categories. [6]

  3. Flux (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Flux_(text-to-image_model)

    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.

  4. StyleGAN - Wikipedia

    en.wikipedia.org/wiki/StyleGAN

    This image was generated by an artificial neural network based on an analysis of a large number of photographs. The Style Generative Adversarial Network , or StyleGAN for short, is an extension to the GAN architecture introduced by Nvidia researchers in December 2018, [ 1 ] and made source available in February 2019.

  5. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Search both internal files and web content [10] Asks the user clarifying questions to refine queries; Enables users to upload and analyze local files, including images; Has access to GPT-4, Claude 3.5, Grok-2, Llama 3 and in-house Perplexity LLMs [11] [4] [2] Able to generate images using AI via Playground v3, DALL-E, Stable Diffusion and FLUX 1

  6. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    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.

  7. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    Diagram of the latent diffusion architecture used by Stable Diffusion The denoising process used by Stable Diffusion. The model generates images by iteratively denoising random noise until a configured number of steps have been reached, guided by the CLIP text encoder pretrained on concepts along with the attention mechanism, resulting in the desired image depicting a representation of the ...

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  9. Human image synthesis - Wikipedia

    en.wikipedia.org/wiki/Human_image_synthesis

    Outputs of the generator network from random input were made publicly available on a number of websites. [ 33 ] [ 34 ] Similarly, since 2018, deepfake technology has allowed GANs to swap faces between actors; combined with the ability to fake voices, GANs can thus generate fake videos that seem convincing.

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