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Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .
DreamBooth is a deep learning generation model used to personalize existing text-to-image models by fine-tuning. It was developed by researchers from Google Research and Boston University in 2022. Originally developed using Google's own Imagen text-to-image model, DreamBooth implementations can be applied to other text-to-image models, where it ...
Latent diffusion model was published in 2021 December, and became the basis for the later Stable Diffusion (August 2022). [50] In 2022, Midjourney [51] was released, followed by Google Brain's Imagen and Parti, which were announced in May 2022, Microsoft's NUWA-Infinity, [52] [3] and the source-available Stable Diffusion, which was released in ...
Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion. [1] [2] It is one of the technologies of ...
DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream -like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images. [ 1 ][ 2 ][ 3 ] Google's ...
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.
Stable Diffusion 3 (2024-03) [63] changed the latent diffusion model from the UNet to a Transformer model, and so it is a DiT. It uses rectified flow. It uses rectified flow. Stable Video 4D (2024-07) [ 64 ] is a latent diffusion model for videos of 3D objects.
The Latent Diffusion Model (LDM) [ 1 ] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [ 2 ] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DM) are trained with the objective of removing successive applications of Gaussian noise on training images. The LDM is an improvement on standard ...