[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-71922":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":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":37,"readmeContent":38,"aiSummary":39,"trendingCount":16,"starSnapshotCount":16,"syncStatus":40,"lastSyncTime":41,"discoverSource":42},71922,"Hunyuan3D-2","Tencent-Hunyuan\u002FHunyuan3D-2","Tencent-Hunyuan","High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.","https:\u002F\u002F3d.hunyuan.tencent.com\u002F",null,"Python",13929,1431,157,222,0,34,72,206,102,119.47,"Other",false,"main",true,[27,28,29,30,31,32,33,34,35,36],"3d","3d-aigc","3d-generation","diffusion-models","hunyuan3d","image-to-3d","shape","shape-generation","text-to-3d","texture-generation","2026-06-12 04:01:02","[中文阅读](README_zh_cn.md)\n[日本語で読む](README_ja_jp.md)\n\n\u003Cp align=\"center\"> \n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fefb402a1-0b09-41e0-a6cb-259d442e76aa\">\n\n\u003C\u002Fp>\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  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 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\u002Fabs\u002F2501.12202 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\n\u003Cbr>\n\n\u003Cp align=\"center\">\n“ Living out everyone’s imagination on creating and manipulating 3D assets.”\n\u003C\u002Fp>\n\nhttps:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fa2cbc5b8-be22-49d7-b1c3-7aa2b20ba460\n\n\n## 🔥 News\n\n- July 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- June 23, 2025: 📄 Release the system technical report of [Hunyuan3D 2.5](https:\u002F\u002Farxiv.org\u002Fabs\u002F2506.16504).\n- June 13, 2025: 🤗 Release [Hunyuan3D-2.1](https:\u002F\u002Fgithub.com\u002FTencent-Hunyuan\u002FHunyuan3D-2.1), fully open-sourced with new PBR model, VAE encoder, and all training code. \n- Apr 1, 2025: 🤗 Release turbo paint model [Hunyuan3D-Paint-v2-0-Turbo](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-paint-v2-0-turbo), and multiview texture generation pipeline, try it [here](examples\u002Ffast_texture_gen_multiview.py)! Stay tuned for our new texture generation model [RomanTex](https:\u002F\u002Fgithub.com\u002Foakshy\u002FRomanTex) and PBR material generation [MaterialMVP](https:\u002F\u002Fgithub.com\u002FZebinHe\u002FMaterialMVP\u002F)! \n- Mar 19, 2025: 🤗 Release turbo model [Hunyuan3D-2-Turbo](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002F), [Hunyuan3D-2mini-Turbo](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mini\u002F) and [FlashVDM](https:\u002F\u002Fgithub.com\u002FTencent\u002FFlashVDM).\n- Mar 18, 2025: 🤗 Release multiview shape model [Hunyuan3D-2mv](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mv) and 0.6B\n  shape model [Hunyuan3D-2mini](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mini).\n- Feb 14, 2025: 🛠️ Release texture enhancement module, please obtain high-definition textures\n  via [here](minimal_demo.py)!\n- Feb 3, 2025: 🐎\n  Release [Hunyuan3D-DiT-v2-0-Fast](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-0-fast), our\n  guidance distillation model that could half the dit inference time, see [here](minimal_demo.py) for usage.\n- Jan 27, 2025: 🛠️ Release Blender addon for Hunyuan3D 2.0, Check it out [here](#blender-addon).\n- Jan 23, 2025: 💬 We thank community members for\n  creating [Windows installation tool](https:\u002F\u002Fgithub.com\u002FYanWenKun\u002FHunyuan3D-2-WinPortable), ComfyUI support\n  with [ComfyUI-Hunyuan3DWrapper](https:\u002F\u002Fgithub.com\u002Fkijai\u002FComfyUI-Hunyuan3DWrapper)\n  and [ComfyUI-3D-Pack](https:\u002F\u002Fgithub.com\u002FMrForExample\u002FComfyUI-3D-Pack) and other\n  awesome [extensions](#community-resources).\n- Jan 21, 2025: 💬 Enjoy exciting 3D generation on our website [Hunyuan3D Studio](https:\u002F\u002F3d.hunyuan.tencent.com)!\n- Jan 21, 2025: 🤗 Release inference code and pretrained models\n  of [Hunyuan3D 2.0](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2). Please give it a try\n  via [huggingface space](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Ftencent\u002FHunyuan3D-2) and\n  our [official site](https:\u002F\u002F3d.hunyuan.tencent.com)!\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\n\n\n## **Abstract**\n\nWe present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets.\nThis system includes two foundation components: a large-scale shape generation model - Hunyuan3D-DiT, and a large-scale\ntexture synthesis model - Hunyuan3D-Paint.\nThe shape generative model, built on a scalable flow-based diffusion transformer, aims to create geometry that properly\naligns with a given condition image, laying a solid foundation for downstream applications.\nThe texture synthesis model, benefiting from strong geometric and diffusion priors, produces high-resolution and vibrant\ntexture maps for either generated or hand-crafted meshes.\nFurthermore, we build Hunyuan3D-Studio - a versatile, user-friendly production platform that simplifies the re-creation\nprocess of 3D assets. It allows both professional and amateur users to manipulate or even animate their meshes\nefficiently.\nWe systematically evaluate our models, showing that Hunyuan3D 2.0 outperforms previous state-of-the-art models,\nincluding the open-source models and closed-source models in geometry details, condition alignment, texture quality, and\ne.t.c.\n\n\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"assets\u002Fimages\u002Fsystem.jpg\">\n\u003C\u002Fp>\n\n## ☯️ **Hunyuan3D 2.0**\n\n### Architecture\n\nHunyuan3D 2.0 features a two-stage generation pipeline, starting with the creation of a bare mesh, followed by the\nsynthesis of a texture map for that mesh. This strategy is effective for decoupling the difficulties of shape and\ntexture generation and also provides flexibility for texturing either generated or handcrafted meshes.\n\n\u003Cp align=\"left\">\n  \u003Cimg src=\"assets\u002Fimages\u002Farch.jpg\">\n\u003C\u002Fp>\n\n### Performance\n\nWe have evaluated Hunyuan3D 2.0 with other open-source as well as close-source 3d-generation methods.\nThe numerical results indicate that Hunyuan3D 2.0 surpasses all baselines in the quality of generated textured 3D assets\nand the condition following ability.\n\n| Model                   | CMMD(⬇)   | FID_CLIP(⬇) | FID(⬇)      | CLIP-score(⬆) |\n|-------------------------|-----------|-------------|-------------|---------------|\n| Top Open-source Model1  | 3.591     | 54.639      | 289.287     | 0.787         |\n| Top Close-source Model1 | 3.600     | 55.866      | 305.922     | 0.779         |\n| Top Close-source Model2 | 3.368     | 49.744      | 294.628     | 0.806         |\n| Top Close-source Model3 | 3.218     | 51.574      | 295.691     | 0.799         |\n| Hunyuan3D 2.0           | **3.193** | **49.165**  | **282.429** | **0.809**     |\n\nGeneration results of Hunyuan3D 2.0:\n\u003Cp align=\"left\">\n  \u003Cimg src=\"assets\u002Fimages\u002Fe2e-1.gif\"  height=250>\n  \u003Cimg src=\"assets\u002Fimages\u002Fe2e-2.gif\"  height=250>\n\u003C\u002Fp>\n\n## 🎁 Models Zoo\n\nIt takes 6 GB VRAM for shape generation and 16 GB for shape and texture generation in total.\n\nHunyuan3D-2-1 Series\n\n| Model                | Description                   | Date       | Size | Huggingface                                                                             |\n|----------------------|-------------------------------|------------|------|-----------------------------------------------------------------------------------------|\n| Hunyuan3D-DiT-v2-1   | Mini Image to Shape Model     | 2025-06-13 | 3.0B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2.1\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-1)   |\n| Hunyuan3D-Paint-v2-1 | Texture Generation Model    | 2025-06-13 | 1.3B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2.1\u002Ftree\u002Fmain\u002Fhunyuan3d-paintpbr-v2-1) |\n\nHunyuan3D-2mini Series\n\n| Model                       | Description                   | Date       | Size | Huggingface                                                                                      |\n|-----------------------------|-------------------------------|------------|------|--------------------------------------------------------------------------------------------------|\n| Hunyuan3D-DiT-v2-mini-Turbo | Step Distillation Version     | 2025-03-19 | 0.6B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mini\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-mini-turbo) |\n| Hunyuan3D-DiT-v2-mini-Fast  | Guidance Distillation Version | 2025-03-18 | 0.6B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mini\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-mini-fast)  |\n| Hunyuan3D-DiT-v2-mini       | Mini Image to Shape Model     | 2025-03-18 | 0.6B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mini\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-mini)       |\n\n\nHunyuan3D-2mv Series\n\n| Model                     | Description                    | Date       | Size | Huggingface                                                                                  |\n|---------------------------|--------------------------------|------------|------|----------------------------------------------------------------------------------------------| \n| Hunyuan3D-DiT-v2-mv-Turbo | Step Distillation Version      | 2025-03-19 | 1.1B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mv\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-mv-turbo) |\n| Hunyuan3D-DiT-v2-mv-Fast  | Guidance Distillation Version  | 2025-03-18 | 1.1B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mv\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-mv-fast)  |\n| Hunyuan3D-DiT-v2-mv       | Multiview Image to Shape Model | 2025-03-18 | 1.1B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2mv\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-mv)       |\n\nHunyuan3D-2 Series\n\n| Model                      | Description                 | Date       | Size | Huggingface                                                                               |\n|----------------------------|-----------------------------|------------|------|-------------------------------------------------------------------------------------------| \n| Hunyuan3D-DiT-v2-0-Turbo   | Step Distillation Model     | 2025-03-19 | 1.1B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-0-turbo)   |\n| Hunyuan3D-DiT-v2-0-Fast    | Guidance Distillation Model | 2025-02-03 | 1.1B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-0-fast)    |\n| Hunyuan3D-DiT-v2-0         | Image to Shape Model        | 2025-01-21 | 1.1B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-dit-v2-0)         |\n| Hunyuan3D-Paint-v2-0       | Texture Generation Model    | 2025-01-21 | 1.3B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-paint-v2-0)       |\n| Hunyuan3D-Paint-v2-0-Turbo | Distillation Texure Model   | 2025-04-01 | 1.3B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-paint-v2-0-turbo) |\n| Hunyuan3D-Delight-v2-0     | Image Delight Model         | 2025-01-21 | 1.3B | [Download](https:\u002F\u002Fhuggingface.co\u002Ftencent\u002FHunyuan3D-2\u002Ftree\u002Fmain\u002Fhunyuan3d-delight-v2-0)     | \n\n## 🤗 Get Started with Hunyuan3D 2.0\n\nHunyuan3D 2.0 supports Macos, Windows, Linux. You may follow the next steps to use Hunyuan3D 2.0 via:\n\n- [Code](#code-usage)\n- [Gradio App](#gradio-app)\n- [API Server](#api-server)\n- [Blender Addon](#blender-addon)\n- [Official Site](#official-site)\n\n### Install Requirements\n\nPlease install Pytorch via the [official](https:\u002F\u002Fpytorch.org\u002F) site. Then install the other requirements via\n\n```bash\npip install -r requirements.txt\npip install -e .\n# for texture\ncd hy3dgen\u002Ftexgen\u002Fcustom_rasterizer\npython3 setup.py install\ncd ..\u002F..\u002F..\ncd hy3dgen\u002Ftexgen\u002Fdifferentiable_renderer\npython3 setup.py install\n```\n\n### Code Usage\n\nWe designed a diffusers-like API to use our shape generation model - Hunyuan3D-DiT and texture synthesis model -\nHunyuan3D-Paint.\n\nYou could assess **Hunyuan3D-DiT** via:\n\n```python\nfrom hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline\n\npipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent\u002FHunyuan3D-2')\nmesh = pipeline(image='assets\u002Fdemo.png')[0]\n```\n\nThe output mesh is a [trimesh object](https:\u002F\u002Ftrimesh.org\u002Ftrimesh.html), which you could save to glb\u002Fobj (or other\nformat) file.\n\nFor **Hunyuan3D-Paint**, do the following:\n\n```python\nfrom hy3dgen.texgen import Hunyuan3DPaintPipeline\nfrom hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline\n\n# let's generate a mesh first\npipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent\u002FHunyuan3D-2')\nmesh = pipeline(image='assets\u002Fdemo.png')[0]\n\npipeline = Hunyuan3DPaintPipeline.from_pretrained('tencent\u002FHunyuan3D-2')\nmesh = pipeline(mesh, image='assets\u002Fdemo.png')\n```\n\nPlease visit [examples](examples) folder for more advanced usage, such as **multiview image to 3D generation** and *\n*texture generation\nfor handcrafted mesh**.\n\n### Gradio App\n\nYou could also host a [Gradio](https:\u002F\u002Fwww.gradio.app\u002F) App in your own computer via:\n\nStandard Version\n\n```bash\n# Hunyuan3D-2mini\npython3 gradio_app.py --model_path tencent\u002FHunyuan3D-2mini --subfolder hunyuan3d-dit-v2-mini --texgen_model_path tencent\u002FHunyuan3D-2 --low_vram_mode\n# Hunyuan3D-2mv\npython3 gradio_app.py --model_path tencent\u002FHunyuan3D-2mv --subfolder hunyuan3d-dit-v2-mv --texgen_model_path tencent\u002FHunyuan3D-2 --low_vram_mode\n# Hunyuan3D-2\npython3 gradio_app.py --model_path tencent\u002FHunyuan3D-2 --subfolder hunyuan3d-dit-v2-0 --texgen_model_path tencent\u002FHunyuan3D-2 --low_vram_mode\n```\n\nTurbo Version\n\n```bash\n# Hunyuan3D-2mini\npython3 gradio_app.py --model_path tencent\u002FHunyuan3D-2mini --subfolder hunyuan3d-dit-v2-mini-turbo --texgen_model_path tencent\u002FHunyuan3D-2 --low_vram_mode --enable_flashvdm\n# Hunyuan3D-2mv\npython3 gradio_app.py --model_path tencent\u002FHunyuan3D-2mv --subfolder hunyuan3d-dit-v2-mv-turbo --texgen_model_path tencent\u002FHunyuan3D-2 --low_vram_mode --enable_flashvdm\n# Hunyuan3D-2\npython3 gradio_app.py --model_path tencent\u002FHunyuan3D-2 --subfolder hunyuan3d-dit-v2-0-turbo --texgen_model_path tencent\u002FHunyuan3D-2 --low_vram_mode --enable_flashvdm\n```\n\n### API Server\n\nYou could launch an API server locally, which you could post web request for Image\u002FText to 3D, Texturing existing mesh,\nand e.t.c.\n\n```bash\npython api_server.py --host 0.0.0.0 --port 8080\n```\n\nA demo post request for image to 3D without texture.\n\n```bash\nimg_b64_str=$(base64 -i assets\u002Fdemo.png)\ncurl -X POST \"http:\u002F\u002Flocalhost:8080\u002Fgenerate\" \\\n     -H \"Content-Type: application\u002Fjson\" \\\n     -d '{\n           \"image\": \"'\"$img_b64_str\"'\",\n         }' \\\n     -o test2.glb\n```\n\n### Blender Addon\n\nWith an API server launched, you could also directly use Hunyuan3D 2.0 in your blender with\nour [Blender Addon](blender_addon.py). Please follow our tutorial to install and use.\n\nhttps:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F8230bfb5-32b1-4e48-91f4-a977c54a4f3e\n\n### Official Site\n\nDon't forget to visit [Hunyuan3D](https:\u002F\u002F3d.hunyuan.tencent.com) for quick use, if you don't want to host yourself.\n\n## 📑 Open-Source Plan\n\n- [x] Inference Code\n- [x] Model Checkpoints\n- [x] Technical Report\n- [x] ComfyUI\n- [x] Finetuning\n- [ ] TensorRT Version\n\n## 🔗 BibTeX\n\nIf you found this repository helpful, please cite our reports:\n\n```bibtex\n@misc{lai2025hunyuan3d25highfidelity3d,\n      title={Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details}, \n      author={Tencent Hunyuan3D Team},\n      year={2025},\n      eprint={2506.16504},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url={https:\u002F\u002Farxiv.org\u002Fabs\u002F2506.16504}, \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## Community Resources\n\nThanks for the contributions of community members, here we have these great extensions of Hunyuan3D 2.0:\n\n- [ComfyUI-3D-Pack](https:\u002F\u002Fgithub.com\u002FMrForExample\u002FComfyUI-3D-Pack)\n- [ComfyUI-Hunyuan3DWrapper](https:\u002F\u002Fgithub.com\u002Fkijai\u002FComfyUI-Hunyuan3DWrapper)\n- [Hunyuan3D-2-for-windows](https:\u002F\u002Fgithub.com\u002Fsdbds\u002FHunyuan3D-2-for-windows)\n- [📦 A bundle for running on Windows | 整合包](https:\u002F\u002Fgithub.com\u002FYanWenKun\u002FHunyuan3D-2-WinPortable)\n- [Hunyuan3D-2GP](https:\u002F\u002Fgithub.com\u002Fdeepbeepmeep\u002FHunyuan3D-2GP)\n- [Kaggle Notebook](https:\u002F\u002Fgithub.com\u002Fdarkon12\u002FHunyuan3D-2GP_Kaggle)\n\n## Acknowledgements\n\nWe would like to thank the contributors to\nthe [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),\nand [Michelangelo](https:\u002F\u002Fgithub.com\u002FNeuralCarver\u002FMichelangelo\u002Ftree\u002Fmain) repositories, for their open research and\nexploration.\n\n## Star History\n\n\u003Ca href=\"https:\u002F\u002Fstar-history.com\u002F#Tencent\u002FHunyuan3D-2&Date\">\n \u003Cpicture>\n   \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Tencent\u002FHunyuan3D-2&type=Date&theme=dark\" \u002F>\n   \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Tencent\u002FHunyuan3D-2&type=Date\" \u002F>\n   \u003Cimg alt=\"Star History Chart\" src=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Tencent\u002FHunyuan3D-2&type=Date\" \u002F>\n \u003C\u002Fpicture>\n\u003C\u002Fa>\n","Hunyuan3D-2 是一个基于大规模扩散模型的高分辨率3D资产生成项目。该项目利用先进的扩散模型技术，支持从文本到3D、图像到3D以及形状和纹理生成等多种功能，能够高效地创建高质量的3D内容。其核心特点包括支持物理渲染（PBR）材质生成、多视角纹理合成及快速的模型推理速度。适用于游戏开发、虚拟现实、增强现实等需要高质量3D内容的场景，同时也为研究者提供了一个强大的平台来探索3D生成技术的新边界。",2,"2026-06-11 03:39:28","high_star"]