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AI Image Generator is a tool for creating photorealistic images and digital art from text prompts using advanced AI models. [20] AI Video Generator allows users to transform descriptive prompts and images into short video clips, simplifying video creation. [21] [22]
Text-to-image models do not natively understand negation. The prompt "a party with no cake" is likely to produce an image including a cake. [48] As an alternative, negative prompts allow a user to indicate, in a separate prompt, which terms should not appear in the resulting image. [49]
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.
Photo-text has been classified as a "bimedial iconotext," [5] wherein both photographic images and textual elements coexist, forming a cohesive body of work presented in the context of a gallery space [6] or book. [7] The juxtapositional nature of photo-texts requires that they be simultaneously read and viewed together — an intentional ...
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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.
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Riffusion is a neural network, designed by Seth Forsgren and Hayk Martiros, that generates music using images of sound rather than audio. [1] It was created as a fine-tuning of Stable Diffusion, an existing open-source model for generating images from text prompts, on spectrograms. [1]