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The company has been working on improving its algorithms, releasing new model versions every few months. Version 2 of their algorithm was launched in April 2022, [10] and version 3 on July 25. [11] On November 5, 2022, the alpha iteration of version 4 was released to users. [12] [13] On March 15, 2023, the alpha iteration of version 5 was ...
A depth-guided model, named "depth2img", was introduced with the release of Stable Diffusion 2.0 on November 24, 2022; this model infers the depth of the provided input image, and generates a new output image based on both the text prompt and the depth information, which allows the coherence and depth of the original input image to be ...
Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model 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.
The AI boom, [1][2] or AI spring, [3][4] is an ongoing period of rapid progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the early 2020s. Examples include protein folding prediction led by Google DeepMind and generative AI applications developed by OpenAI.
In 2021, the release of DALL-E, a transformer-based pixel generative model, followed by Midjourney and Stable Diffusion marked the emergence of practical high-quality artificial intelligence art from natural language prompts. In March 2023, GPT-4 was released.
Latent diffusion model was published in 2021 December, and became the basis for the later Stable Diffusion (August 2022). [53] In 2022, Midjourney [54] was released, followed by Google Brain's Imagen and Parti, which were announced in May 2022, Microsoft's NUWA-Infinity, [55] [47] and the source-available Stable Diffusion, which was released in ...
[64] [65] Released in 2022 on Hugging Face's Spaces platform, Craiyon (formerly DALL·E Mini until a name change was requested by OpenAI in June 2022) is an AI model based on the original DALL·E that was trained on unfiltered data from the Internet. It attracted substantial media attention in mid-2022, after its release due to its capacity for ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.