Stable Diffusion video Stable Diffusion Video

Stable Diffusion Video (SVD) Online

Revolutionizing Video Generation with AI

Introducing Stable Diffusion Video

Input Image Output Video

Stability AI has released Stable Diffusion Video, a groundbreaking foundational model for generative video. This model is a significant extension of their previous work in image models, specifically building upon the Stable Diffusion image model.

Release Date

November 21

Key Features

  • State-of-the-Art Video Generation: The model represents a significant advancement in AI video generation capabilities.
  • Adaptable to Multiple Applications: Can be fine-tuned for tasks like multi-view synthesis from single images.
  • Image-to-Video Conversion: Offers two models that can generate 14 and 25 frames at customizable frame rates ranging from 3 to 30 fps.


  1. Open-Source and Research-Focused: The code and weights for the model are available on GitHub and Hugging Face, encouraging wide participation and improvement.
  2. User Preference Superiority: In comparative studies, this model has shown superior performance to existing closed models in user preference.
  3. Research Preview: Currently available in a research preview, indicating an ongoing process of refinement and enhancement.
  4. Exclusive to Research: Intended for research purposes and not yet for real-world or commercial applications.
  5. Part of a Diverse AI Portfolio: Stable Diffusion Video joins a range of open-source models by Stability AI, covering various modalities such as image, language, audio, 3D, and code.

Usage Instructions

  • Code and Model Access: Interested users can access the code on GitHub and the model weights on Hugging Face.
  • Web Experience Waitlist: Sign up to access an upcoming web experience featuring a Text-To-Video interface, showcasing practical applications in various sectors.
  • Feedback and Safety Considerations: Users are encouraged to provide feedback, especially regarding safety and quality, to refine the model for eventual broader release.

Additional Information

  • Future Plans: Stability AI plans to release a variety of models that build upon this technology.
  • Commercial Application Interest: Those interested in commercial applications can stay updated by signing up for the Stability AI newsletter.

Classic Examples of Stable Diffusion Video

Stable Diffusion Video has been effectively used in a variety of applications. This includes auto-generated music videos that sync visuals with beats, text-to-video creations where scripts or descriptions are transformed into dynamic videos, and innovative projects using mov2mov technology to enhance or alter existing footage.

How to Use Stable Diffusion Video

How to Use Stable Diffusion Video

To use Stable Diffusion Video for transforming your images into videos, follow these simple steps:

  • Step 1: Upload Your Photo - Choose and upload the photo you want to transform into a video. Ensure the photo is in a supported format and meets any size requirements.
  • Step 2: Wait for the Video to Generate - After uploading the photo, the model will process it to generate a video. This process may take some time depending on the complexity and length of the video.
  • Step 3: Download Your Video - Once the video is generated, you will be able to download it. Check the quality and, if necessary, you can make adjustments or regenerate the video.

Note: Stable Diffusion Video is in a research preview phase and is mainly intended for educational or creative purposes. Please ensure that your usage adheres to the terms and guidelines provided by Stability AI.

Stable Diffusion Video Related Tweets

Stable Diffusion Video FAQ

1. Basic Introduction

What is Stable Diffusion Video?

Stable Diffusion Video is a generative AI video model developed by Stability AI, based on the Stable Diffusion image model. It transforms static images into high-quality video sequences.

What are the key features of Stable Diffusion Video?

It offers high resolution, multi-view synthesis, and supports generating videos from a single image, suitable for various downstream tasks.

How can I access Stable Diffusion Video?

The code is available on Stability AI’s GitHub repository, and the weights required to run the model can be found on the Hugging Face page.

What are the main applications of Stable Diffusion Video?

It is applicable in various sectors, including advertising, education, entertainment, etc.

2. Technical Details

How does Stable Diffusion Video work?

It transforms 2D image synthesis models into generative video models by inserting temporal layers and fine-tuning on high-quality video datasets.

What frame rates and resolutions are supported by Stable Diffusion Video?

It supports customizable frame rates between 3 and 30 frames per second, with a resolution of 576×1024.

Where does the training data for Stable Diffusion Video come from?

It was trained on millions of videos, most of which were sourced from public research datasets.

What advantages does Stable Diffusion Video have over other video generation models?

It surpasses leading closed models in user preference studies and is capable of multi-view synthesis.

3. Use and Practice

How do I start using Stable Diffusion Video?

Visit Stability AI’s website for detailed information on how to access and use the model.

What are the limitations of Stable Diffusion Video?

It is currently for research purposes only, generates relatively short videos, and may not be entirely photorealistic.

How can I provide feedback for Stable Diffusion Video?

Provide feedback via Stability AI’s social media channels or the contact options on their website.

Is Stable Diffusion Video suitable for commercial applications?

It is currently not intended for real-world or commercial applications, but there may be developments in the future.

4. Safety and Ethics

How does Stability AI ensure the safe use of Stable Diffusion Video?

It emphasizes that the model is currently for research use only and requires users to adhere to specific terms of use.

What ethical considerations are there with Stable Diffusion Video?

It should not be used to create “factual” representations of people or events that are not true.

Is there a potential for Stable Diffusion Video to be used for deepfake creation?

While there is potential risk, Stability AI emphasizes its current research nature and usage restrictions.

How can misuse of Stable Diffusion Video be reported?

Misuse can be reported through the official channels of Stability AI.

5. Future Developments

What future updates does Stability AI plan for Stable Diffusion Video?

Plans include improvements to the model, addition of new features, and potential developments for commercial applications.

How will Stable Diffusion Video impact future content creation?

It has the potential to simplify the video content creation process and provide new tools in fields such as art and education.

How does Stability AI view the position of Stable Diffusion Video in the AI field?

It is seen as an important milestone in the diversification of AI models.

Will Stable Diffusion Video support more languages and cultural adaptability?

Stability AI indicates plans to increase support for more languages and cultural adaptability.