Stable Video Diffusion (StableVideo) - An open-source AI video generation tool for creating dynamic videos from text or images.

## Definition of Stable Video Diffusion **Stable Video Diffusion (StableVideo)** is an open-source AI video generation tool developed by Stability AI. It enables users to create short (2-5 second) dynamic videos from static images or text prompts, with applications in media, entertainment, education, and marketing. The tool is based on Stability AI's Stable Diffusion image model and supports customizable frame rates (3–30 FPS) and fast processing (under 2 minutes). ## Key Features of Stable Video Diffusion - **Model Variants**: Two image-to-video models generating 14 or 25 frames. - **Customizable Frame Rate**: Adjustable between 3–30 FPS for smooth playback. - **Performance**: Outperformed leading closed models in user preference studies at launch. - **Functionality**: - Converts static images to videos (e.g., adding motion to a photo). - Generates videos from text prompts (e.g., "sunlit beach with waves"). - Extends or edits existing videos. - **Technical Specs**: - Video length: 2–5 seconds. - Processing time: ≤2 minutes. ## Access Methods for Stable Video Diffusion - **Online Demo**: Via the [official website](https://www.stablevideo.com/) (currently under maintenance). - **API/Integration**: Available through Stability AI's API for commercial or research use. - **Self-Hosting**: Open-source code on [GitHub](https://github.com/Stability-AI/generative-models) and model weights on [Hugging Face](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt) allow local deployment. ## Access Methods for Stable Video Diffusion Yes. Stable Video Diffusion is fully open-source: - **Code Repository**: Available on [GitHub](https://github.com/Stability-AI/generative-models). - **Model Weights**: Hosted on [Hugging Face](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt). - **Research Paper**: Technical details are published on [Stability AI's research page](https://stability.ai/research/stable-video-diffusion-scaling-latent-video-diffusion-models-to-large-datasets). ## Scope of Stable Video Diffusion's Applications No. While "dynamic waves" might be a demo example, StableVideo is a **general-purpose tool** for diverse scenarios: - **Examples**: Cityscapes, animations, educational content, marketing videos. - **Flexibility**: Works with any text prompt or image input (e.g., "nighttime city lights"). ## Technical Limitations of Stable Video Diffusion - **Video Duration**: Max 5 seconds per generation. - **Processing**: Requires GPU resources for optimal performance. - **Online Access**: Official demo website is temporarily unavailable (as of March 2025). ### Citation sources: - [Stable Video Diffusion (StableVideo)](Stable Video Diffusion (StableVideo)) - Official URL Updated: 2025-04-01