# Tencent-Hunyuan/HY-WorldPlay

HY-World 1.5: A Systematic Framework for Interactive World Modeling with Real-Time Latency and Geometric Consistency

Repository: https://github.com/Tencent-Hunyuan/HY-WorldPlay
Canonical: https://ross.abutalabs.com/products/hy-worldplay
Homepage: https://3d-models.hunyuan.tencent.com/world/
Language: Python
License: NOASSERTION
License Family: other
Topics: 3d, hunyuan, hunyuan3d, image-to-3d, world-model, world-models, hunyuan-world
Last push: 2026-06-10T07:10:23+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 86, release rhythm 35, longevity 19
- inputs: {"age_days": 266, "days_push": 84, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1586, forks 143 (observed 2026-08-28T04:05:07.746489+00:00)

## What it is
HY-WorldPlay (HY-World 1.5) is Tencent Hunyuan's open-source framework for interactive 3D world modeling, generating explorable 3D scenes from images with real-time latency and geometric consistency. It includes pretrained WorldPlay models (5B and 8B variants), inference and training code, and RL post-training tooling.

## Use cases
- generate explorable 3D worlds from a single image
- build interactive world models with real-time inference
- fine-tune or train a custom video-based world model
- run a world model on small-VRAM consumer GPUs
- apply RL post-training to a world model
- create 3D scenes for games or simulations from photos

## When to choose
- you need interactive, real-time 3D world generation from images
- you want an open-source world model with training and fine-tuning code
- you have GPU resources and want geometrically consistent explorable scenes

## When to avoid
- you need a lightweight CPU-only solution
- you need a fully permissive license (license is custom/unspecified)
- you only need static 3D asset reconstruction rather than interactive worlds

## Facets
- artifact type: framework
- maturity: active
- function: machine-learning, deep-learning, llm-inference, simulation, image-processing, gpu-computing
- domain: artificial-intelligence, deep-learning, simulation, graphics
- platform: python, cross-platform
- tags: world-model, image-to-3d, 3d-generation, interactive-world-modeling, video-generation, geometric-consistency, real-time-inference, hunyuan, tencent, game-development, gpu, linux

## Member repositories
- Tencent-Hunyuan/HY-WorldPlay (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:07.746489+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:55:27.412805+00:00, confidence not recorded.
  - readme: https://github.com/Tencent-Hunyuan/HY-WorldPlay (fetched 2026-08-28T04:05:07.746489+00:00, sha ea1ae856748c)
  - homepage: https://3d-models.hunyuan.tencent.com/world/ (fetched 2026-08-29T11:26:01.601656+00:00, sha 64d8acac6828)
- Data as of 2026-08-30T08:39:29.467469+00:00.