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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. 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.

  4. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    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.

  5. Java Advanced Imaging - Wikipedia

    en.wikipedia.org/wiki/Java_Advanced_Imaging

    Java Advanced Imaging (JAI) is a Java platform extension API which allows developers to create their own image manipulation routines. JAI is provided as a free download directly from Oracle Corporation for the Windows, Solaris, and Linux platforms. Apple Inc. provides an OS X version of the API from their website for Mac OS X v10.3.

  6. ImageJ - Wikipedia

    en.wikipedia.org/wiki/ImageJ

    Custom acquisition, analysis and processing plugins can be developed using ImageJ's built-in editor and a Java compiler. User-written plugins make it possible to solve many image processing and analysis problems, from three-dimensional live-cell imaging [6] to radiological image processing, [7] multiple imaging system data comparisons [8] to ...

  7. Contrastive Language-Image Pre-training - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Language-Image...

    In text-to-image retrieval, users input descriptive text, and CLIP retrieves images with matching embeddings. In image-to-text retrieval, images are used to find related text content. CLIP’s ability to connect visual and textual data has found applications in multimedia search, content discovery, and recommendation systems. [31] [32]

  8. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    In July 2023, the fact-checking company Logically found that the popular generative AI models Midjourney, DALL-E 2 and Stable Diffusion would produce plausible disinformation images when prompted to do so, such as images of electoral fraud in the United States and Muslim women supporting India's Hindu nationalist Bharatiya Janata Party.

  9. Comparison of optical character recognition software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_optical...

    This comparison of optical character recognition software includes: . OCR engines, that do the actual character identification; Layout analysis software, that divide scanned documents into zones suitable for OCR