Activelegacyvideo Open Source

Stable Video Diffusion

by Stability AI· Released November 2023

Stable Video Diffusion is a generative AI model that converts static images into short video clips. It is built on the latent diffusion architecture and is designed for research and creative applications, offering controllable video generation from a single input image.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

—

Max output

—

Modalities

video

Parameters

1.7B

License

Stability AI Community License

Capabilities

Image-to-Video GenerationFrame InterpolationMulti-View SynthesisControllable Motion

Best For

Generating short, high-quality video clips from a single image for creative and research purposes.

Strengths

High-quality video generation from a single image
Open-source and freely available
Supports various frame rates and resolutions
Good temporal consistency

Limitations

Limited to short video clips (typically 14-25 frames)
May produce artifacts in complex scenes
Requires significant GPU memory for inference
Not suitable for long-form video generation

Use Cases

Creating animated content from still images

Video prototyping and storyboarding

Educational visualizations

Artistic video generation

Data augmentation for video datasets

Advertising and marketing content

Social media content creation

Improvements Over Previous Model

Introduced image-to-video generation capability as a new model category
Built on Stable Diffusion 2.1 base for robust latent representations
Added temporal attention layers for coherent video output
Supports multiple frame rates (3-30 fps) and resolutions up to 1024x576
Open-sourced under permissive license for research and commercial use

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Activelegacyvideo Open Source

Stable Video Diffusion

by Stability AI· Released November 2023

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

—

Max output

—

Modalities

video

Parameters

1.7B

License

Stability AI Community License

Capabilities

Image-to-Video GenerationFrame InterpolationMulti-View SynthesisControllable Motion

Best For

Generating short, high-quality video clips from a single image for creative and research purposes.

Strengths

High-quality video generation from a single image
Open-source and freely available
Supports various frame rates and resolutions
Good temporal consistency

Limitations

Limited to short video clips (typically 14-25 frames)
May produce artifacts in complex scenes
Requires significant GPU memory for inference
Not suitable for long-form video generation

Use Cases

Creating animated content from still images

Video prototyping and storyboarding

Educational visualizations

Artistic video generation

Data augmentation for video datasets

Advertising and marketing content

Social media content creation

Improvements Over Previous Model

Introduced image-to-video generation capability as a new model category
Built on Stable Diffusion 2.1 base for robust latent representations
Added temporal attention layers for coherent video output
Supports multiple frame rates (3-30 fps) and resolutions up to 1024x576
Open-sourced under permissive license for research and commercial use

Back to all models