69 lines
3.1 KiB
Markdown
69 lines
3.1 KiB
Markdown
# Stable Virtual Camera
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<a href="https://stable-virtual-camera.github.io"><img src="https://img.shields.io/badge/%F0%9F%8F%A0%20Project%20Page-gray.svg"></a>
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<a href="http://arxiv.org/abs/2503.14489"><img src="https://img.shields.io/badge/%F0%9F%93%84%20arXiv-2503.14489-B31B1B.svg"></a>
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<a href="https://stability.ai/news/introducing-stable-virtual-camera-multi-view-video-generation-with-3d-camera-control"><img src="https://img.shields.io/badge/%F0%9F%93%83%20Blog-Stability%20AI-orange.svg"></a>
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<a href="https://huggingface.co/stabilityai/stable-virtual-camera"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Model_Card-Huggingface-orange"></a>
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<a href="https://huggingface.co/spaces/stabilityai/stable-virtual-camera"><img src="https://img.shields.io/badge/%F0%9F%9A%80%20Gradio%20Demo-Huggingface-orange"></a>
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<a href="https://www.youtube.com/channel/UCLLlVDcS7nNenT_zzO3OPxQ"><img src="https://img.shields.io/badge/%F0%9F%8E%AC%20Video-YouTube-orange"></a>
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`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.
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# :tada: News
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- March 2025 - `Stable Virtual Camera` is out everywhere.
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# :wrench: Installation
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```bash
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git clone --recursive https://github.com/Stability-AI/stable-virtual-camera
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cd stable-virtual-camera
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pip install -e .
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```
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Please note that you will need `python>=3.10` and `torch>=2.6.0`.
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Check [INSTALL.md](docs/INSTALL.md) for other dependencies if you want to use our demos or develop from this repo.
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For windows users, please use WSL as flash attention isn't supported on native Windows [yet](https://github.com/pytorch/pytorch/issues/108175).
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# :open_book: Usage
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We provide two demos for you to interative with `Stable Virtual Camera`.
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### :rocket: Gradio demo
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This gradio demo is a GUI interface that requires no expertised knowledge, suitable for general users. Simply run
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```bash
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python demo_gr.py
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```
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For a more detailed guide, follow [GR_USAGE.md](docs/GR_USAGE.md).
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### :computer: CLI demo
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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
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```bash
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python demo.py --data_path <data_path> [additional arguments]
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```
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For a more detailed guide, follow [CLI_USAGE.md](docs/CLI_USAGE.md).
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For users interested in benchmarking NVS models using command lines, check [`benchmark`](benchmark/) containing the details about scenes, splits, and input/target views we reported in the <a href="http://arxiv.org/abs/2503.14489">paper</a>.
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# :books: Citing
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If you find this repository useful, please consider giving a star :star: and citation.
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```
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@article{zhou2025stable,
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title={Stable Virtual Camera: Generative View Synthesis with Diffusion Models},
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author={Jensen (Jinghao) Zhou and Hang Gao and Vikram Voleti and Aaryaman Vasishta and Chun-Han Yao and Mark Boss and
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Philip Torr and Christian Rupprecht and Varun Jampani
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},
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journal={arXiv preprint},
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year={2025}
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}
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```
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