Stable Video

Overview

Stable Video Diffusion is an advanced generative video model developed by Stability AI, extending the proven capabilities of the Stable Diffusion architecture into the temporal domain. It is designed to produce coherent video outputs from natural language text prompts, enabling creators and developers to synthesize dynamic visual content without requiring traditional video production pipelines. As an open-source driven model, it emphasizes accessibility and adaptability, allowing deployment in a wide range of technical environments while maintaining a strong foundation in state-of-the-art generative AI research.

The model's core capabilities center on text-to-video generation, supporting the creation of 14 and 25 frames per output sequence. Users can select customizable frame rates ranging from 3 to 30 frames per second, offering granular control over motion smoothness and temporal pacing. This flexibility makes the model suitable for a variety of content styles, from subtle motion loops to more dynamic scene transitions. With processing times of two minutes or less, the model is engineered for efficiency, enabling rapid iteration and integration into real-time workflows.

Stability AI positions Stable Video Diffusion within a broader ecosystem of generative models, including image, audio, and 3D tools. The model is available through self-hosted licensing, allowing organizations to deploy it on their own infrastructure for advanced customization, data privacy, and operational control. This deployment approach is complemented by Stability AI's platform API and cloud integrations, providing scalable access for both individual developers and enterprise teams.

The practical value of Stable Video Diffusion lies in its ability to bridge text-based ideation and visual production. It benefits artists exploring AI-assisted storytelling, developers building generative applications, and researchers investigating video synthesis. By combining open-source principles with robust performance, Stability AI continues to empower a global community of creators and enterprises to expand the boundaries of synthetic media.

Core capabilities

Text-to-Video Generation

Produces video sequences directly from text prompts using a Stable Diffusion-based generative pipeline.

Customizable Frame Counts

Supports outputs of 14 and 25 frames, accommodating varied video lengths and motion complexity.

Flexible Frame Rates

Users can configure frame rates from 3 to 30 frames per second, enabling precise temporal control.

Fast Processing

Generates videos in 2 minutes or less, supporting rapid prototyping and iterative workflows.

Self-Hosted License

Deployable in private cloud or on-premises environments, enabling advanced customization and data sovereignty.

Open-Source Foundation

Built on the accessible and adaptable open-source stability AI ecosystem, promoting transparency and community-driven advancement.

Scalable Deployment Options

Offers infrastructure flexibility through self-hosted deployment, platform API, and cloud platform integrations.

Use cases

Rapid storyboarding and previsualization from script text

Generating dynamic visual assets for social media and marketing campaigns

Creating synthetic training data for computer vision models

Producing ambient motion loops for digital installations and websites

Enabling interactive AI-assisted animation in creative software

Automating preview generation for video game cinematics and cutscenes