Stable Virtual Camera

Stable Virtual Camera (Seva) is a 1.3B generalist diffusion model for Novel View Synthesis (NVS), generating 3D consistent novel views of a scene, given any number of input views and target cameras.

🎉 News

March 2025 - Stable Virtual Camera is out everywhere.

🔧 Installation

Clone the repository:

git clone --recursive https://github.com/Stability-AI/stable-virtual-camera

To setup the virtual environment and install all necessary model dependencies, simply run:

pip install -e .

Check INSTALL.md for other dependencies if you want to use our demos or develop from this repo.

📖 Usage

We provide two demos for you to interative with Stable Virtual Camera.

🚀 Gradio demo

This gradio demo is a GUI interface that requires no expertised knowledge, suitable for general users. Simply run

python demo_gr.py

For a more detailed guide, follow GR_USAGE.md.

💻 CLI demo

This cli demo allows you to pass in more options and control the model in a fine-grained way, suitable for power users and academic researchers. An examplar command line looks as simple as

python demo.py --data_path <data_path> [additional arguments]

For a more detailed guide, follow CLI_USAGE.md.

For users interested in benchmarking NVS models using command lines, check benchmark containing the details about scenes, splits, and input/target views we reported in the paper.

📚 Citing

If you find this repository useful, please consider giving a star ⭐ and citation.

@article{zhou2025stable,
    title={Stable Virtual Camera: Generative View Synthesis with Diffusion Models},
    author={Jensen (Jinghao) Zhou and Hang Gao and Vikram Voleti and Aaryaman Vasishta and Chun-Han Yao and Mark Boss and
    Philip Torr and Christian Rupprecht and Varun Jampani
    },
    journal={arXiv preprint},
    year={2025}
}

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