World-model researchers
Study a released pipeline spanning panorama generation, navigation planning, consistent view synthesis, and 3D reconstruction.
Independent tool overview
HY-World 2.0 is Tencent Hunyuan's source-available research system for reconstructing, generating, and simulating navigable 3D worlds from multimodal inputs.
Visit the official HY-World 2.0 site ↗
Overview
HY-World 2.0 is a research-oriented world model from Tencent Hunyuan. Its released pipeline combines panorama generation, camera-trajectory planning, view expansion, and 3D reconstruction so teams can turn visual inputs into scenes that can be explored from new viewpoints.
This is not a one-click hosted design app. The official repository is a self-hosted toolkit with model weights, inference code, multiple environments, and substantial GPU requirements. It is best evaluated as infrastructure for 3D and world-model teams rather than a finished consumer product.
Tencent calls the project open source, but the supplied community license has meaningful use and geography restrictions. Teams should review that license before committing the system to a commercial workflow.
Use cases
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Study a released pipeline spanning panorama generation, navigation planning, consistent view synthesis, and 3D reconstruction.
Prototype navigable environments for games, simulation, virtual production, or VR when the team can operate its own GPU stack.
Convert a panorama into an explorable 3D Gaussian Splatting scene or mesh with more control than a hosted one-click generator.
Capabilities
Creates panoramic starting views using either HunyuanImage-3's reasoning workflow or a lighter Qwen-Image-Edit backend.
Plans camera movement through a scene before the system expands the world along that path.
Generates additional keyframes while using memory-guided conditioning to improve consistency across viewpoints.
Combines observations into the broader reconstruction and simulation pipeline described in the technical report.
Prepares frames, depth, normals, masks, and camera data for 3D Gaussian Splatting training, with mesh export also supported.
Includes a local viewer built around Viser and Nerfview for exploring reconstructed scenes.
Process
Step 1
Install the repository's CUDA and Python dependencies, download the required weights, and configure the separate environments used by the pipeline.
Step 2
Start with an existing panorama or generate one with HY-Pano 2.0.
Step 3
Use WorldNav to create a camera trajectory, then render and caption the path with a separately hosted vision-language model.
Step 4
Run WorldStereo 2.0 to synthesize consistent keyframes beyond the original view.
Step 5
Prepare geometry signals, train the Gaussian Splatting representation, and inspect the result in the browser viewer.
Cost
Tencent does not sell HY-World 2.0 as a hosted subscription. The repository and released weights can be downloaded under the project's community license, while GPUs, storage, model serving, and engineering time are paid separately.
$0 license fee
Download the released repository and model weights subject to Tencent's community license.
Variable
Run the system on your own hardware or cloud account.
Contact Tencent
Organizations above the license's stated scale threshold must request a separate license.
Pricing checked . Check current pricing at the source ↗
Assessment
Compare
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Content Creator
Consider Marble for a more productized World Labs workflow that creates persistent 3D worlds from text, images, or video.
Explore World Labs Marble →Content Creator
Consider Odyssey 2 when real-time interactive generated video is more important than a self-hosted 3D reconstruction pipeline.
Explore Odyssey-2 →Design
Consider Skybox AI for a simpler hosted workflow focused on generating 360-degree environments.
Explore Blockade Labs Skybox AI →Questions
HY-World 2.0 is Tencent Hunyuan's multimodal research system for reconstructing, generating, and simulating navigable 3D worlds. Its released components cover panorama generation, camera planning, view expansion, and 3D scene construction.
The released code and weights have no listed download fee, but they are governed by Tencent's community license. You must also provide and pay for the required GPU infrastructure, storage, supporting models, and engineering work.
No. The official release is a self-hosted GitHub project, not a managed web app or subscription service.
Requirements vary by component. For the full world-generation workflow, the official instructions recommend at least four GPUs and say the pipeline was tested on eight NVIDIA H20 GPUs.
The released world-generation workflow starts from a panorama, which can be supplied or generated by HY-Pano 2.0, then expands it along a planned trajectory and reconstructs a navigable 3D scene.
The community license permits some uses but includes territory exclusions, a large-scale user threshold, redistribution conditions, and restrictions on using the materials or outputs to improve other AI models. Obtain legal advice for your specific deployment.
Bottom line
HY-World 2.0 is a substantial research release for teams that want control over an end-to-end 3D world pipeline and already have serious GPU and engineering capacity. Creators seeking quick results will be better served by a hosted alternative, while commercial teams should scrutinize the license before adopting it.
Visit HY-World 2.0 website ↗
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