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  2. 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.

  3. How to use Canva: A simple guide to the graphic design platform

    www.aol.com/news/canva-simple-guide-graphic...

    Have you heard of Canva? It's a graphic design platform lets you create everything from Instagram posts to business logos, for absolutely no cost. Using it is simple and painless thanks to all the ...

  4. Canva - Wikipedia

    en.wikipedia.org/wiki/Canva

    In October of that year, Canva announced that it had raised an additional A$85 million at a valuation of A$3.2 billion and launched an enterprise product. [20] In December 2019, Canva announced Canva for Education, a free product for schools and other educational institutions intended to facilitate collaboration between students and teachers. [21]

  5. ImageMagick - Wikipedia

    en.wikipedia.org/wiki/ImageMagick

    Draw: add shapes or text to an image. Decorate: add a border or frame to an image. Special effects: blur, sharpen, threshold, or tint an image. Animation: assemble a GIF animation file from a sequence of images. Text and comments: insert descriptive or artistic text in an image. Image identification: describe the format and attributes of an image.

  6. Pixelmator Classic - Wikipedia

    en.wikipedia.org/wiki/Pixelmator_Classic

    Pixelmator Classic is a raster graphic editor developed for macOS [1] [2] by Pixelmator Team, and built upon a combination of open-source and macOS technologies. Pixelmator features selection, painting, retouching, navigation, and color correction tools; as well as layers-based image editing, GPU-powered image processing, color management, automation, and a transparent head-up display user ...

  7. Diffusion model - Wikipedia

    en.wikipedia.org/wiki/Diffusion_model

    DALL-E 2 is a 3.5-billion cascaded diffusion model that generates images from text by "inverting the CLIP image encoder", the technique which they termed "unCLIP". The unCLIP method contains 4 models: a CLIP image encoder, a CLIP text encoder, an image decoder, and a "prior" model (which can be a diffusion model, or an autoregressive model).

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