Sora is an advanced text-to-video diffusion model developed by OpenAI, capable of generating high-fidelity, photorealistic video clips up to 60 seconds long from written text prompts.
Enables automated content synthesis and productivity co-pilots for generative ai content creation, text-to-video synthesis, and creative prototyping; leveraging Sora transforms how creative or technical workflows are automated.
Sora is an advanced text-to-video generative AI model. Built using a diffusion transformer (DiT) architecture, Sora processes visual data as space-time patches to generate highly realistic, complex scenes with multiple characters, specific motion types, and accurate background details, representing a major leap in physical world simulation.
Sora uses a transformer architecture over spacetime patches of video data, learning to gradually denoise random pixels into structured video frames.
Spacetime patches are analogous to tokens in language models; they represent small 3D cubes of space and time data extracted from video frames.
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