[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-72298":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":35,"readmeContent":36,"aiSummary":37,"trendingCount":16,"starSnapshotCount":16,"syncStatus":38,"lastSyncTime":39,"discoverSource":40},72298,"Hunyuan3D-2.1","Tencent-Hunyuan\u002FHunyuan3D-2.1","Tencent-Hunyuan","From Images to High-Fidelity 3D Assets with Production-Ready PBR Material","https:\u002F\u002F3d.hunyuan.tencent.com\u002F",null,"Python",3533,522,36,130,0,17,42,154,51,30.16,"Other",false,"main",[26,27,28,29,30,31,32,33,34],"3d","3d-aigc","3d-generation","hunyuan3d","image-to-3d","shape","shape-generation","text-to-3d","texture-genertaion","2026-06-12 02:03:01","\n\u003Cp align=\"center\">\n  \u003Cimg src=\"assets\u002Fimages\u002Fteaser.jpg\">\n\u003C\u002Fp>\n\n\n\u003Cdiv align=\"center\">\n  \u003Ca href=https:\u002F\u002F3d.hunyuan.tencent.com target=\"_blank\">\u003Cimg src=https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FOfficial%20Site-333399.svg?logo=homepage height=22px>\u003C\u002Fa>\n  \u003Ca href=https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Ftencent\u002FHunyuan3D-2.1  target=\"_blank\">\u003Cimg src=https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F%F0%9F%A4%97%20Demo-276cb4.svg height=22px>\u003C\u002Fa>\n  \u003Ca href=https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2.1 target=\"_blank\">\u003Cimg src=https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F%F0%9F%A4%97%20Models-d96902.svg height=22px>\u003C\u002Fa>\n  \u003Ca href=https:\u002F\u002F3d-models.hunyuan.tencent.com\u002F target=\"_blank\">\u003Cimg src= https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPage-bb8a2e.svg?logo=github height=22px>\u003C\u002Fa>\n  \u003Ca href=https:\u002F\u002Fdiscord.gg\u002FdNBrdrGGMa target=\"_blank\">\u003Cimg src= https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-white.svg?logo=discord height=22px>\u003C\u002Fa>\n  \u003Ca href=https:\u002F\u002Farxiv.org\u002Fpdf\u002F2506.15442 target=\"_blank\">\u003Cimg src=https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FReport-b5212f.svg?logo=arxiv height=22px>\u003C\u002Fa>\n  \u003Ca href=https:\u002F\u002Fx.com\u002FTencentHunyuan target=\"_blank\">\u003Cimg src=https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FHunyuan-black.svg?logo=x height=22px>\u003C\u002Fa>\n \u003Ca href=\"#community-resources\" target=\"_blank\">\u003Cimg src=https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCommunity-lavender.svg?logo=homeassistantcommunitystore height=22px>\u003C\u002Fa>\n\u003C\u002Fdiv>\n\n[\u002F\u002F]: # (  \u003Ca href=# target=\"_blank\">\u003Cimg src=https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FReport-b5212f.svg?logo=arxiv height=22px>\u003C\u002Fa>)\n\n[\u002F\u002F]: # (  \u003Ca href=# target=\"_blank\">\u003Cimg src= https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FColab-8f2628.svg?logo=googlecolab height=22px>\u003C\u002Fa>)\n\n[\u002F\u002F]: # (  \u003Ca href=\"#\">\u003Cimg alt=\"PyPI - Downloads\" src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fmulankit?logo=pypi\"  height=22px>\u003C\u002Fa>)\n\u003Cbr>\n\n## 🔥 News\n\n- Jul 26, 2025: 🤗 We release the first open-source, simulation-capable, immersive 3D world generation model, [HunyuanWorld-1.0](https:\u002F\u002Fgithub.com\u002FTencent-Hunyuan\u002FHunyuanWorld-1.0)!\n- Jun 19, 2025: 👋 We present the [technical report](https:\u002F\u002Farxiv.org\u002Fpdf\u002F2506.15442) of Hunyuan3D-2.1, please check out the details and spark some discussion!\n- Jun 13, 2025: 🤗 We release the first production-ready 3D asset generation model, Hunyuan3D-2.1!\n\n> Join our **[Wechat](#)** and **[Discord](https:\u002F\u002Fdiscord.gg\u002FdNBrdrGGMa)** group to discuss and find help from us.\n\n| Wechat Group                                     | Xiaohongshu                                           | X                                           | Discord                                           |\n|--------------------------------------------------|-------------------------------------------------------|---------------------------------------------|---------------------------------------------------|\n| \u003Cimg src=\"assets\u002Fqrcode\u002Fwechat.png\"  height=140> | \u003Cimg src=\"assets\u002Fqrcode\u002Fxiaohongshu.png\"  height=140> | \u003Cimg src=\"assets\u002Fqrcode\u002Fx.png\"  height=140> | \u003Cimg src=\"assets\u002Fqrcode\u002Fdiscord.png\"  height=140> |        \n\n## 🤗 Community Contribution Leaderboard\n1. By [@visualbruno](https:\u002F\u002Fgithub.com\u002Fvisualbruno)\n  - ComfyUI-Hunyuan3d-2-1: https:\u002F\u002Fgithub.com\u002Fvisualbruno\u002FComfyUI-Hunyuan3d-2-1\n2. By [@VR-Jobs](https:\u002F\u002Fgithub.com\u002FVR-Jobs)\n  - Hunyuan3d-2-1 Unity Support: https:\u002F\u002Fgithub.com\u002FVR-Jobs\u002FHunyuan3D-2.1-Unity-XR-PC-Phone\n\n## ☯️ **Hunyuan3D 2.1**\n\n### Architecture\n\nTencent Hunyuan3D-2.1 is a scalable 3D asset creation system that advances state-of-the-art 3D generation through two pivotal innovations: Fully Open-Source Framework and  Physically-Based Rendering (PBR) Texture Synthesis. For the first time, the system releases full model weights and training code, enabling community developers to directly fine-tune and extend the model for diverse downstream applications. This transparency accelerates academic research and industrial deployment. Moreover, replacing the prior RGB-based texture model, the upgraded PBR pipeline leverages  physics-grounded material simulation  to generate textures with photorealistic light interaction (e.g., metallic reflections, subsurface scattering).\n\n\u003Cp align=\"left\">\n  \u003Cimg src=\"assets\u002Fimages\u002Fpipeline.png\">\n\u003C\u002Fp>\n\n### Performance\n\nWe have evaluated Hunyuan3D 2.1 with other open-source as well as close-source 3d-generation methods.\nThe numerical results indicate that Hunyuan3D 2.1 surpasses all baselines in the quality of generated textured 3D assets\nand the condition following ability.\n\n| Model                   | ULIP-T(⬆)   | ULIP-I(⬆) | Uni3D-T(⬆)      | Uni3D-I(⬆) |\n|-------------------------|-----------|-------------|-------------|---------------|\n| Michelangelo  | 0.0752     | 0.1152      | 0.2133     | 0.2611         |\n| Craftsman | 0.0745     | 0.1296      | 0.2375     | 0.2987         |\n| TripoSG | 0.0767     | 0.1225      | 0.2506     | 0.3129       |\n| Step1X-3D | 0.0735     | 0.1183      | 0.2554     | 0.3195         |\n| Trellis | 0.0769     | 0.1267      | 0.2496     | 0.3116         |\n| Direct3D-S2 | 0.0706     | 0.1134      | 0.2346     | 0.2930         |\n| Hunyuan3D-Shape-2.1           | **0.0774** | **0.1395**  | **0.2556** | **0.3213** |\n\n\n| Model                   | CLIP-FiD(⬇)   | CMMD(⬇) | CLIP-I(⬆)      | LPIPS(⬇) |\n|-------------------------|-----------|-------------|-------------|---------------|\n| SyncMVD-IPA  | 28.39     | 2.397      | 0.8823     | 0.1423         |\n| TexGen | 28.24     | 2.448      | 0.8818     | 0.1331         |\n| Hunyuan3D-2.0 | 26.44     | 2.318     | 0.8893     | 0.1261         |\n| Hunyuan3D-Paint-2.1           | **24.78** | **2.191**  | **0.9207** | **0.1211**     |\n\n\n\n## 🎁 Models Zoo\n\nIt takes 10 GB VRAM for shape generation, 21GB for texture generation and 29GB for shape and texture generation in total.\n\n\n| Model                      | Description                 | Date       | Size | Huggingface                                                                               |\n|----------------------------|-----------------------------|------------|------|-------------------------------------------------------------------------------------------| \n| Hunyuan3D-Shape-v2-1         | Image to Shape Model        | 2025-06-14 | 3.3B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2.1\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-1)         |\n| Hunyuan3D-Paint-v2-1       | Texture Generation Model    | 2025-06-14 | 2B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2.1\u002Ftree\u002Fmain\u002Fhunyuan3d-paintpbr-v2-1)       |\n\n\n## 🤗 Get Started with Hunyuan3D 2.1\n\nHunyuan3D 2.1 supports Macos, Windows, Linux. You may follow the next steps to use Hunyuan3D 2.1 via:\n\n### Install Requirements\nWe test our model with Python 3.10 and PyTorch 2.5.1+cu124.\n```bash\npip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https:\u002F\u002Fdownload.pytorch.org\u002Fwhl\u002Fcu124\npip install -r requirements.txt\n\ncd hy3dpaint\u002Fcustom_rasterizer\npip install -e .\ncd ..\u002F..\ncd hy3dpaint\u002FDifferentiableRenderer\nbash compile_mesh_painter.sh\ncd ..\u002F..\n\nwget https:\u002F\u002Fgithub.com\u002Fxinntao\u002FReal-ESRGAN\u002Freleases\u002Fdownload\u002Fv0.1.0\u002FRealESRGAN_x4plus.pth -P hy3dpaint\u002Fckpt\n```\n\n### Code Usage\n\nWe designed a diffusers-like API to use our shape generation model - Hunyuan3D-Shape and texture synthesis model -\nHunyuan3D-Paint.\n\n```python\nimport sys\nsys.path.insert(0, '.\u002Fhy3dshape')\nsys.path.insert(0, '.\u002Fhy3dpaint')\nfrom textureGenPipeline import Hunyuan3DPaintPipeline\nfrom textureGenPipeline import Hunyuan3DPaintPipeline, Hunyuan3DPaintConfig\nfrom hy3dshape.pipelines import Hunyuan3DDiTFlowMatchingPipeline\n\n# let's generate a mesh first\nshape_pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent\u002FHunyuan3D-2.1')\nmesh_untextured = shape_pipeline(image='assets\u002Fdemo.png')[0]\n\npaint_pipeline = Hunyuan3DPaintPipeline(Hunyuan3DPaintConfig(max_num_view=6, resolution=512))\nmesh_textured = paint_pipeline(mesh_path, image_path='assets\u002Fdemo.png')\n```\n\n\n### Gradio App\n\nYou could also host a [Gradio](https:\u002F\u002Fwww.gradio.app\u002F) App in your own computer via:\n\n\n```bash\npython3 gradio_app.py \\\n  --model_path tencent\u002FHunyuan3D-2.1 \\\n  --subfolder hunyuan3d-dit-v2-1 \\\n  --texgen_model_path tencent\u002FHunyuan3D-2.1 \\\n  --low_vram_mode\n```\n\n\n## 🔗 BibTeX\n\nIf you found this repository helpful, please cite our reports:\n\n```bibtex\n@misc{hunyuan3d2025hunyuan3d,\n    title={Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material},\n    author={Tencent Hunyuan3D Team},\n    year={2025},\n    eprint={2506.15442},\n    archivePrefix={arXiv},\n    primaryClass={cs.CV}\n}\n\n@misc{hunyuan3d22025tencent,\n    title={Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation},\n    author={Tencent Hunyuan3D Team},\n    year={2025},\n    eprint={2501.12202},\n    archivePrefix={arXiv},\n    primaryClass={cs.CV}\n}\n\n@misc{yang2024hunyuan3d,\n    title={Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation},\n    author={Tencent Hunyuan3D Team},\n    year={2024},\n    eprint={2411.02293},\n    archivePrefix={arXiv},\n    primaryClass={cs.CV}\n}\n```\n\n## Acknowledgements\n\nWe would like to thank the contributors to\nthe [TripoSG](https:\u002F\u002Fgithub.com\u002FVAST-AI-Research\u002FTripoSG), [Trellis](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FTRELLIS),  [DINOv2](https:\u002F\u002Fgithub.com\u002Ffacebookresearch\u002Fdinov2), [Stable Diffusion](https:\u002F\u002Fgithub.com\u002FStability-AI\u002Fstablediffusion), [FLUX](https:\u002F\u002Fgithub.com\u002Fblack-forest-labs\u002Fflux), [diffusers](https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fdiffusers), [HuggingFace](https:\u002F\u002Fhuggingface.co), [CraftsMan3D](https:\u002F\u002Fgithub.com\u002Fwyysf-98\u002FCraftsMan3D), [Michelangelo](https:\u002F\u002Fgithub.com\u002FNeuralCarver\u002FMichelangelo\u002Ftree\u002Fmain), [Hunyuan-DiT](https:\u002F\u002Fgithub.com\u002FTencent-Hunyuan\u002FHunyuanDiT), and [HunyuanVideo](https:\u002F\u002Fgithub.com\u002FTencent-Hunyuan\u002FHunyuanVideo) repositories, for their open research and\nexploration.\n\n## Star History\n\n\u003Ca href=\"https:\u002F\u002Fstar-history.com\u002F#Tencent-Hunyuan\u002FHunyuan3D-2.1&Date\">\n \u003Cpicture>\n   \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Tencent-Hunyuan\u002FHunyuan3D-2.1&type=Date&theme=dark\" \u002F>\n   \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Tencent-Hunyuan\u002FHunyuan3D-2.1&type=Date\" \u002F>\n   \u003Cimg alt=\"Star History Chart\" src=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Tencent-Hunyuan\u002FHunyuan3D-2.1&type=Date\" \u002F>\n \u003C\u002Fpicture>\n\u003C\u002Fa>\n","Hunyuan3D-2.1 是一个将图像转换为高保真3D资产的工具，支持生成生产级PBR材质。项目采用Python语言编写，具备从图像到3D模型的转换能力，能够生成高质量的形状和纹理，并且适用于多种3D应用场景。其核心功能包括图像到3D模型的转换、形状生成以及纹理生成等，特别适合游戏开发、虚拟现实、增强现实等领域中需要快速创建高质量3D内容的场景。",2,"2026-06-11 03:41:14","high_star"]