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A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.
Generative AI systems such as MusicLM [56] and MusicGen [57] can also be trained on the audio waveforms of recorded music along with text annotations, in order to generate new musical samples based on text descriptions such as a calming violin melody backed by a distorted guitar riff.
A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .
"We don't want the world to just be text. If the AI systems primarily interact with text, I think we're missing something important," OpenAI CEO Sam Altman said in a live-streamed announcement Monday.
Stability AI was founded in 2019 by Emad Mostaque. [1] [2] [3] In August 2022 Stability AI rose to prominence with the release of its source and weights available text-to-image model Stable Diffusion. [1] On March 23, 2024, Emad Mostaque stepped down from his position as CEO.
The similarly AI-driven text adventure game AI Dungeon uses Artbreeder to generate profile pictures for its users, [7] and The Static Age's Andrew Paley has used Artbreeder to create the visuals for his music videos. [8] [9] Artbreeder has been used to create portraits of characters from popular novels such as Harry Potter and Twilight.
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