Stable Video Diffusion

Stable Video Diffusion is an open-source generative AI video model developed by Stability AI that can generate videos from images. It represents a significant advancement in generative video technology and is currently available in a research preview.

Key features:
- Generates videos from images, supporting applications like multi-view synthesis from a single image
- Offers customizable frame rates ranging from 3 to 30 frames per second, with options for 14 and 25 frames
- Surpasses leading closed models in user preference studies
- Code is available on GitHub, and model weights can be accessed on Hugging Face
- Designed to be adaptable to numerous downstream tasks

How it works:
Users can interact with Stable Video Diffusion through a web-based Text-To-Video interface, which allows them to input text prompts to generate videos. The model can be fine-tuned on multi-view datasets to enhance its capabilities further.

Integrations:
Stable Video Diffusion integrates with GitHub for code access and Hugging Face for model weights, facilitating easy access and implementation for researchers and developers.

Use of AI:
Stable Video Diffusion leverages generative artificial intelligence to create videos from images.

AI foundation model:
The model is built on the foundation of Stable Diffusion, a powerful image generation model, allowing it to inherit the strengths of Stable Diffusion, such as high-quality image synthesis and adaptability to various tasks.

How to access:
Stable Video Diffusion is available as an open-source project, with resources accessible on GitHub and Hugging Face. It is currently in a research preview phase, emphasizing its use for research and feedback collection.