Generates entire open 3D worlds from text using multiple agents that plan layout, terrain and materials, then generate assets coarse to fine and verify consistency. Open-sourcing not confirmed.
Tencent Hunyuan research framework that turns one text prompt into an explorable, editable open-world 3D scene.
Updated EU status checked Last shown
Hunyuan3D WorldClaw at a glance
- What is Hunyuan3D WorldClaw?
- Hunyuan3D WorldClaw is a research from Tencent. Tencent Hunyuan research framework that turns one text prompt into an explorable, editable open-world 3D scene.
- Who makes Hunyuan3D WorldClaw?
- Hunyuan3D WorldClaw is made by Tencent.
- Does Hunyuan3D WorldClaw work in the EU?
- Unverified. No explicit evidence found; the project is research-only and not yet publicly available. Last verified 14 Nov 2026.
- How much does Hunyuan3D WorldClaw cost?
- Pricing unknown. No public release, pricing or access details found; GitHub repository reported empty.
- Where was Hunyuan3D WorldClaw shown?
- In 2 creator videos by AI Search, Matt Wolfe. Most recently by AI Search on 16 Aug 2026, at 37:32 in “New Deepseek, GLM 5.3, Grok 4.6, LTX 2.5, Qwen 3.8, Gemini 3.7: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
WorldClaw is a research project from Tencent's Hunyuan3D team. It is described as an agentic framework that converts a single open-ended prompt into an explicit, explorable and editable open-world 3D scene, rather than a single mesh or a video-style render.
According to creator coverage of the project, multiple agents plan the layout, terrain and materials, then generate assets from coarse to fine and check consistency across the scene. Each element in the resulting world is a separate asset that can be edited individually. Reports mention a pipeline that uses GPT Image 2 for imagery, SAM 3 for segmentation and Hunyuan's 2D-to-3D conversion; these details come from third-party commentary and not from the scraped page text.
At the time of the source material, the project exists as a project page. Creators reported that the GitHub repository was empty and that open-sourcing had not been confirmed, so no public code, weights, demo or paper link is known. Pricing, licence and release date are unknown.
- Generates an explorable open-world 3D scene from one text prompt
- Multi-agent planning of layout, terrain and materials
- Coarse-to-fine asset generation with consistency verification
- Scene elements are separate, editable assets
- Reportedly builds on GPT Image 2, SAM 3 and Hunyuan 2D-to-3D
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Tencent Hunyuan research that generates an entire 3D world from a prompt, with every element an editable separate asset. It uses GPT Image 2, SAM 3 segmentation and Hunyuan 2D-to-3D conversion; not yet available, GitHub is empty.
Similar AI tools
Closest neighbours by meaning, not just by category.
Hunyuan3D Buffalo 1.0
Model · Tencent
Tencent's unified multimodal model for 3D understanding, text-to-3D generation, instruction-based editing and part generation.
Hy-Nomas
Model · Tencent
Tencent Hunyuan interactive world model generating real-time, controllable 720p video with memory for consistency.
WorldCrafter
Model · Tencent ARC Lab
Video world model from Tencent ARC Lab that turns an image or text into camera-controlled explorable scenes with 3D-aware memory.
World Labs open-source image-to-3D environment
Library · World Labs
World Labs tooling that turns a single image into an editable 3D environment with meshes, splats, physics and lighting.
Atlas
Model · World Labs
World Labs' world model that generates and reconstructs explorable 3D worlds from images, text, video or 3D input.
Pixal3D
Model
Image-to-3D generator from Tsinghua and Tencent ARC Lab that builds meshes pixel-aligned to the input view.