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A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1][2][3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
Producing high-quality visual art is a prominent application of generative AI. [51] Generative AI systems trained on sets of images with text captions include Imagen, DALL-E, Midjourney, Adobe Firefly, Stable Diffusion and others (see Artificial intelligence art, Generative art, and Synthetic media).
Windows, OS X, Linux, Unix. Type. Diagramming software. License. GPL-2.0-or-later. Website. GNOME Apps. Dia (/ ˈdiːə /) [3] is free and open source general-purpose diagramming software, developed originally by Alexander Larsson. [1] It uses a controlled single document interface (SDI) similar to GIMP and Inkscape.
DALL·E, DALL·E 2, and DALL·E 3 (pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.
Website. www.drawio.com. diagrams.net (previously draw.io[2][3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts, wireframes, UML diagrams, organizational charts, and network diagrams. [5]
Website. firefly.adobe.com. Adobe Firefly is a generative machine learning model included as part of Adobe Creative Cloud. It is currently being tested in an open beta phase. [1][2][3] Adobe Firefly is developed using Adobe's Sensei platform. Firefly is trained with images from Creative Commons, Wikimedia and Flickr Commons as well as 300 ...
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