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  2. 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 .

  3. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    An example of prompt usage for text-to-image generation, using Fooocus. Prompts for some text-to-image models can also include images and keywords and configurable parameters, such as artistic style, which is often used via keyphrases like "in the style of [name of an artist]" in the prompt [91] and/or selection of a broad aesthetic/art style.

  4. Grok (chatbot) - Wikipedia

    en.wikipedia.org/wiki/Grok_(chatbot)

    As with other text-to-image models, Aurora generates images from natural language descriptions, called prompts. [60] The capacity to generate images using Flux was added in August 2024, with The Verge reporting that the kinds of prompts that would be "immediately blocked" on other services seemed to be permitted by Grok. Their journalist was ...

  5. ComfyUI - Wikipedia

    en.wikipedia.org/wiki/ComfyUI

    ComfyUI is an open source, node-based program that allows users to generate images from a series of text prompts.It uses free diffusion models such as Stable Diffusion as the base model for its image capabilities combined with other tools such as ControlNet and LCM Low-rank adaptation with each tool being represented by a node in the program.

  6. Fooocus - Wikipedia

    en.wikipedia.org/wiki/Fooocus

    Fooocus is an open source generative artificial intelligence program that allows users to generate images from a text prompt. [3] [4] It uses Stable Diffusion as the base model for its image capabilities as well as a collection of default settings and prompts to make the image generation process more streamlined.

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.

  8. Probability current - Wikipedia

    en.wikipedia.org/wiki/Probability_current

    In quantum mechanics, the probability current (sometimes called probability flux) is a mathematical quantity describing the flow of probability. Specifically, if one thinks of probability as a heterogeneous fluid, then the probability current is the rate of flow of this fluid.

  9. Flux - Wikipedia

    en.wikipedia.org/wiki/Flux

    Hence, units of electric flux are, in the MKS system, newtons per coulomb times meters squared, or N m 2 /C. (Electric flux density is the electric flux per unit area, and is a measure of strength of the normal component of the electric field averaged over the area of integration. Its units are N/C, the same as the electric field in MKS units.)