Stable Virtual Camera Turns Images Into 3D Videos in Seconds

1. Tutorial Introduction
The computing resources used in this tutorial are a single RTX 4090 card.
Stable Virtual Camera (Seva) is a general diffusion model launched by Stability AI in March 2025. The related paper results are "Stable Virtual Camera: Generative View Synthesis with Diffusion Models"
Seva is able to generate new views of a scene given an arbitrary number of input views and target cameras. Its design overcomes the limitations of existing methods in generating samples with large view changes or smooth temporally, without relying on a specific task configuration. A notable feature of the model is that it can maintain highly consistent sample generation without the need for additional 3D representation learning, thus simplifying the view synthesis process in practical applications. In addition, Seva can generate high-quality videos up to half a minute long and achieve seamless looping. Extensive benchmark tests show that Seva outperforms existing methods on different datasets and settings.

2. Operation steps
1. Start the container
After starting the container, click the API address to enter the Web interface. Due to the large model, it takes about 3 minutes to display the WebUI interface, otherwise it will display "Bad Gateway"

2. Basic functions
Click the "Basic" interface
This interface function can generate a video based on one of the preset camera trajectories given a single image.

3. Advanced
Click the "Basic" interface
This interface allows you to generate a video of any camera trajectory of your choice given any number of input images through a keyframe-based interface.

After uploading the image, click Confirm

Click Process Image and wait for the image to be processed.

Click Add keyframe to add a keyframe.

Click to generate video

3. Discussion
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