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The model was released in February 2023. The Gen-1 model was trained and developed by Runway based on the original paper Structure and Content-Guided Video Synthesis with Diffusion Models from Runway Research. Gen-1 is an example of Generative artificial intelligence for video creation. Gen-2. Gen-2 is a multimodal AI system that can generate ...
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 ...
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. In 2022, the output of state-of-the-art text-to ...
Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...
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 ...
Cristóbal Valenzuela Barrera. Born. 1989 (age 34–35) Alma mater. Adolfo Ibáñez University. Known for. RunwayML. Cristóbal Valenzuela is a Chilean -born technologist, software developer, and CEO of Runway. In 2018, Valenzuela co-founded the AI research company Runway [1] [2] in New York City with Anastasis Germanidis and Alejandro Matamala.
Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [14] of large language models. In-context learning itself is an emergent property of model scale, meaning breaks [15] in downstream scaling laws occur such that its ...
View 15 Photos. Several months ago, we got one of our first looks at the next-generation BMW X2 compact luxury SUV. It's ditching its hunkered-down, chop-top take on the conventional SUV shape for ...