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Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The model is capable of generating legible text in the images compared to other text-to-image models. [1] [2]
Images, Text Classification, object detection 2007 [33] [34] G. Griffin et al. COYO-700M Image–text-pair dataset 10 billion pairs of alt-text and image sources in HTML documents in CommonCrawl 746,972,269 Images, Text Classification, Image-Language 2022 [35] SIFT10M Dataset SIFT features of Caltech-256 dataset. Extensive SIFT feature extraction.
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
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.
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.
The website Artbreeder, launched in 2018, uses the models StyleGAN and BigGAN [56] [57] to allow users to generate and modify images such as faces, landscapes, and paintings. [58] In the 2020s, text-to-image models, which generate images based on prompts, became widely used, marking yet another shift in the creation of AI generated artworks. [2]
CSV, Text, Shapefile Regression 2020 [231] G. Coxon et al. CAMELS-Australia Catchment hydrology dataset with hydrometeorological timeseries and various attributes see Reference 222 CSV, Text, Shapefile Regression 2021 [232] K. Fowler et al. LamaH-CE Catchment hydrology dataset with hydrometeorological timeseries and various attributes see Reference
Generates a ranked list of several plots & visualizations based on an analysis of the data provided, allowing the user to choose their favorite graphic, share it, and export it as an image. DataGraph: GUI, command line: Proprietary: No 2006: February 17, 2020 / 4.5.1: macOS: 2D graphing, animations, data analysis, linear and non-linear curve ...