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  1. openai.com › index › soraSora | OpenAI

    15 lut 2024 · Sora is a diffusion model, which generates a video by starting off with one that looks like static noise and gradually transforms it by removing the noise over many steps. Sora is capable of generating entire videos all at once or extending generated videos to make them longer.

  2. Sora is an AI model that can create realistic and imaginative scenes from text instructions. Sora can generate videos up to a minute long while maintaining visual quality and adherence to the user’s prompt. Sora is becoming available to red teamers to assess critical areas for harms or risks.

  3. Introducing Sora, our text-to-video model.Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple ch...

  4. 25 mar 2024 · Since we introduced Sora to the world last month, we’ve been working with visual artists, designers, creative directors and filmmakers to learn how Sora might aid in their creative process.

  5. A video generated by Sora of someone lying in a bed with a cat on it, containing several mistakes. The technology behind Sora is an adaptation of the technology behind DALL-E 3.According to OpenAI, Sora is a diffusion transformer [8] – a denoising latent diffusion model with one Transformer as the denoiser. A video is generated in latent space by denoising 3D "patches", then transformed to ...

  6. openai.comOpenAI

    Introducing Sora. Creating realistic and imaginative video from text. Learn more. ChatGPT. Research. For Business. For Developers. Stories. News. Instant answers. Greater productivity. Endless inspiration. Try ChatGPT. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems.

  7. 16 lut 2024 · We’re teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction. Sora can generate videos up to a minute long while maintaining visual quality and adherence to the user’s prompt.

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