InSpatio-World 1.5 turns one picture into a place you can move through

1 week ago

InSpatio-World 1.5 turns a single image, a few photos taken at once, a 360-degree panorama or a video into a scene a camera can move through. Weights posted to Hugging Face on 24 September 2026; code on GitHub from 27 September (Apache 2.0 for the code; the weights page states no licence). The team calls it real-time but gives no frame rate or GPU. Project page and live demo: https://inspatio.github.io/inspatio-world-1.5/ Code: https://github.com/inspatio/inspatio-world-v1.5 Weights: https://huggingface.co/inspatio/world-1.5 Version 1.0 paper (April 2026): https://arxiv.org/abs/2604.07209 Clips: the project page's own videos, cut short and muted.

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  1. 0:00InSpatio-World 1.5 turns one picture into a place you can move through
  2. 0:17The camera walks into the scene and finds what the picture never showed
  3. 0:31Given a video, it moves the camera while the action keeps playing
  4. 0:47A few photos taken at the same moment become a bullet-time orbit
  5. 1:01A 360-degree panorama becomes a room you can look around
  6. 1:10The code and weights are public, and you need an Nvidia GPU
  7. 1:28Try InSpatio-World 1.5 in the browser, or run it yourself
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InSpatio-World 1.5 turns one picture into a place you can move through

InSpatio-World 1.5 is a world model from the InSpatio team. Give it one picture, and it makes a video of a camera moving through that place. The small window in the corner is the only image it was given. The line under it is the camera path someone drew, and the big picture is what the model generated along that path.

The camera walks into the scene and finds what the picture never showed

This one starts from a single painting-style image of a hall. The camera moves forward into it, and turns past the pillars. Everything around the corner is invented by the model, and the team says new areas stay consistent with the original picture as the camera moves.

Given a video, it moves the camera while the action keeps playing

It also works on video. The inset is the original clip, shot from one fixed angle. The big frame is the same moment, seen from a camera that moves while the oranges keep rolling. The team calls this next-view prediction, and pitches it for film camera work, and for robots that need to reason about space.

A few photos taken at the same moment become a bullet-time orbit

Version 1.5 also takes several photos at once. From a handful of shots of the same instant, it builds a smooth camera move around the subject, like the bullet-time effect in The Matrix. Here, a milk splash hangs in the air while the camera circles it.

A 360-degree panorama becomes a room you can look around

And it accepts a 360-degree panorama. This bookstore started as one panoramic image, and the model turns it into a space the camera can move through.

The code and weights are public, and you need an Nvidia GPU

1.3Bparameters, built on Alibaba's Wan 2.1 video model
Apache 2.0licence on the code; the weights page names none
CUDAthe code needs an Nvidia graphics card

The team calls it real-time, but states no frame rate and no graphics card for that claim.

InSpatio-World GitHub README and Hugging Face model page, read 5 October 2026.

What's out is real. The model has about 1.3 billion parameters, and it's built on Wan 2.1, Alibaba's open video model. The code is Apache 2.0, but the weights page doesn't state a licence. Running it needs an Nvidia card. The team describes the results as real-time, but doesn't say on which hardware or at what frame rate.

Try InSpatio-World 1.5 in the browser, or run it yourself

Weights posted to Hugging Face on 24 September 2026; code on GitHub from 27 September. Version 1.0's paper came out in April 2026.

Project page and live demoinspatio.github.io/inspatio-world-1.5
Code and weightsgithub.com/inspatio/inspatio-world-v1.5

The weights went up on September 24th, with the code following a few days later. The first version's paper came out in April. The project page has a live demo you can try in the browser, and the code and weights are linked below.