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base on High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models. [中文阅读](README_zh_cn.md) [日本語で読む](README_ja_jp.md) <img src="https://github.com/user-attachments/assets/efb402a1-0b09-41e0-a6cb-259d442e76aa"> <div align="center"> <a href=https://3d.hunyuan.tencent.com target="_blank"><img src=https://img.shields.io/badge/Official%20Site-333399.svg?logo=homepage height=22px></a> <a href=https://huggingface.co/spaces/tencent/Hunyuan3D-2 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Demo-276cb4.svg height=22px></a> <a href=https://huggingface.co/tencent/Hunyuan3D-2 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a> <a href=https://3d-models.hunyuan.tencent.com/ target="_blank"><img src= https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a> <a href=https://discord.gg/dNBrdrGGMa target="_blank"><img src= https://img.shields.io/badge/Discord-white.svg?logo=discord height=22px></a> <a href=https://arxiv.org/abs/2501.12202 target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a> <a href=https://x.com/TencentHunyuan target="_blank"><img src=https://img.shields.io/badge/Hunyuan-black.svg?logo=x height=22px></a> <a href="#community-resources" target="_blank"><img src=https://img.shields.io/badge/Community-lavender.svg?logo=homeassistantcommunitystore height=22px></a> </div> [//]: # ( <a href=# target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>) [//]: # ( <a href=# target="_blank"><img src= https://img.shields.io/badge/Colab-8f2628.svg?logo=googlecolab height=22px></a>) [//]: # ( <a href="#"><img alt="PyPI - Downloads" src="https://img.shields.io/pypi/v/mulankit?logo=pypi" height=22px></a>) “ Living out everyone’s imagination on creating and manipulating 3D assets.” https://github.com/user-attachments/assets/a2cbc5b8-be22-49d7-b1c3-7aa2b20ba460 ## 🔥 News - Apr 1, 2025: 🤗 Release turbo paint model [Hunyuan3D-Paint-v2-0-Turbo](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-paint-v2-0-turbo), and multiview texture generation pipeline, try it [here](examples/fast_texture_gen_multiview.py)! Stay tuned for our new texture generation model [RomanTex](https://github.com/oakshy/RomanTex) and PBR material generation [MaterialMVP](https://github.com/ZebinHe/MaterialMVP/)! - Mar 19, 2025: 🤗 Release turbo model [Hunyuan3D-2-Turbo](https://huggingface.co/tencent/Hunyuan3D-2/), [Hunyuan3D-2mini-Turbo](https://huggingface.co/tencent/Hunyuan3D-2mini/) and [FlashVDM](https://github.com/Tencent/FlashVDM). - Mar 18, 2025: 🤗 Release multiview shape model [Hunyuan3D-2mv](https://huggingface.co/tencent/Hunyuan3D-2mv) and 0.6B shape model [Hunyuan3D-2mini](https://huggingface.co/tencent/Hunyuan3D-2mini). - Feb 14, 2025: 🛠️ Release texture enhancement module, please obtain high-definition textures via [here](minimal_demo.py)! - Feb 3, 2025: 🐎 Release [Hunyuan3D-DiT-v2-0-Fast](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-dit-v2-0-fast), our guidance distillation model that could half the dit inference time, see [here](minimal_demo.py) for usage. - Jan 27, 2025: 🛠️ Release Blender addon for Hunyuan3D 2.0, Check it out [here](#blender-addon). - Jan 23, 2025: 💬 We thank community members for creating [Windows installation tool](https://github.com/YanWenKun/Hunyuan3D-2-WinPortable), ComfyUI support with [ComfyUI-Hunyuan3DWrapper](https://github.com/kijai/ComfyUI-Hunyuan3DWrapper) and [ComfyUI-3D-Pack](https://github.com/MrForExample/ComfyUI-3D-Pack) and other awesome [extensions](#community-resources). - Jan 21, 2025: 💬 Enjoy exciting 3D generation on our website [Hunyuan3D Studio](https://3d.hunyuan.tencent.com)! - Jan 21, 2025: 🤗 Release inference code and pretrained models of [Hunyuan3D 2.0](https://huggingface.co/tencent/Hunyuan3D-2). Please give it a try via [huggingface space](https://huggingface.co/spaces/tencent/Hunyuan3D-2) and our [official site](https://3d.hunyuan.tencent.com)! > Join our **[Wechat](#)** and **[Discord](https://discord.gg/dNBrdrGGMa)** group to discuss and find help from us. | Wechat Group | Xiaohongshu | X | Discord | |--------------------------------------------------|-------------------------------------------------------|---------------------------------------------|---------------------------------------------------| | <img src="assets/qrcode/wechat.png" height=140> | <img src="assets/qrcode/xiaohongshu.png" height=140> | <img src="assets/qrcode/x.png" height=140> | <img src="assets/qrcode/discord.png" height=140> | ## **Abstract** We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-scale shape generation model - Hunyuan3D-DiT, and a large-scale texture synthesis model - Hunyuan3D-Paint. The shape generative model, built on a scalable flow-based diffusion transformer, aims to create geometry that properly aligns with a given condition image, laying a solid foundation for downstream applications. The texture synthesis model, benefiting from strong geometric and diffusion priors, produces high-resolution and vibrant texture maps for either generated or hand-crafted meshes. Furthermore, we build Hunyuan3D-Studio - a versatile, user-friendly production platform that simplifies the re-creation process of 3D assets. It allows both professional and amateur users to manipulate or even animate their meshes efficiently. We systematically evaluate our models, showing that Hunyuan3D 2.0 outperforms previous state-of-the-art models, including the open-source models and closed-source models in geometry details, condition alignment, texture quality, and e.t.c. <img src="assets/images/system.jpg"> ## ☯️ **Hunyuan3D 2.0** ### Architecture Hunyuan3D 2.0 features a two-stage generation pipeline, starting with the creation of a bare mesh, followed by the synthesis of a texture map for that mesh. This strategy is effective for decoupling the difficulties of shape and texture generation and also provides flexibility for texturing either generated or handcrafted meshes. <img src="assets/images/arch.jpg"> ### Performance We have evaluated Hunyuan3D 2.0 with other open-source as well as close-source 3d-generation methods. The numerical results indicate that Hunyuan3D 2.0 surpasses all baselines in the quality of generated textured 3D assets and the condition following ability. | Model | CMMD(⬇) | FID_CLIP(⬇) | FID(⬇) | CLIP-score(⬆) | |-------------------------|-----------|-------------|-------------|---------------| | Top Open-source Model1 | 3.591 | 54.639 | 289.287 | 0.787 | | Top Close-source Model1 | 3.600 | 55.866 | 305.922 | 0.779 | | Top Close-source Model2 | 3.368 | 49.744 | 294.628 | 0.806 | | Top Close-source Model3 | 3.218 | 51.574 | 295.691 | 0.799 | | Hunyuan3D 2.0 | **3.193** | **49.165** | **282.429** | **0.809** | Generation results of Hunyuan3D 2.0: <img src="assets/images/e2e-1.gif" height=250> <img src="assets/images/e2e-2.gif" height=250> ## 🎁 Models Zoo It takes 6 GB VRAM for shape generation and 16 GB for shape and texture generation in total. Hunyuan3D-2mini Series | Model | Description | Date | Size | Huggingface | |-----------------------------|-------------------------------|------------|------|--------------------------------------------------------------------------------------------------| | Hunyuan3D-DiT-v2-mini-Turbo | Step Distillation Version | 2025-03-19 | 0.6B | [Download](https://huggingface.co/tencent/Hunyuan3D-2mini/tree/main/hunyuan3d-dit-v2-mini-turbo) | | Hunyuan3D-DiT-v2-mini-Fast | Guidance Distillation Version | 2025-03-18 | 0.6B | [Download](https://huggingface.co/tencent/Hunyuan3D-2mini/tree/main/hunyuan3d-dit-v2-mini-fast) | | Hunyuan3D-DiT-v2-mini | Mini Image to Shape Model | 2025-03-18 | 0.6B | [Download](https://huggingface.co/tencent/Hunyuan3D-2mini/tree/main/hunyuan3d-dit-v2-mini) | Hunyuan3D-2mv Series | Model | Description | Date | Size | Huggingface | |---------------------------|--------------------------------|------------|------|----------------------------------------------------------------------------------------------| | Hunyuan3D-DiT-v2-mv-Turbo | Step Distillation Version | 2025-03-19 | 1.1B | [Download](https://huggingface.co/tencent/Hunyuan3D-2mv/tree/main/hunyuan3d-dit-v2-mv-turbo) | | Hunyuan3D-DiT-v2-mv-Fast | Guidance Distillation Version | 2025-03-18 | 1.1B | [Download](https://huggingface.co/tencent/Hunyuan3D-2mv/tree/main/hunyuan3d-dit-v2-mv-fast) | | Hunyuan3D-DiT-v2-mv | Multiview Image to Shape Model | 2025-03-18 | 1.1B | [Download](https://huggingface.co/tencent/Hunyuan3D-2mv/tree/main/hunyuan3d-dit-v2-mv) | Hunyuan3D-2 Series | Model | Description | Date | Size | Huggingface | |----------------------------|-----------------------------|------------|------|-------------------------------------------------------------------------------------------| | Hunyuan3D-DiT-v2-0-Turbo | Step Distillation Model | 2025-03-19 | 1.1B | [Download](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-dit-v2-0-turbo) | | Hunyuan3D-DiT-v2-0-Fast | Guidance Distillation Model | 2025-02-03 | 1.1B | [Download](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-dit-v2-0-fast) | | Hunyuan3D-DiT-v2-0 | Image to Shape Model | 2025-01-21 | 1.1B | [Download](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-dit-v2-0) | | Hunyuan3D-Paint-v2-0 | Texture Generation Model | 2025-01-21 | 1.3B | [Download](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-paint-v2-0) | | Hunyuan3D-Paint-v2-0-Turbo | Distillation Texure Model | 2025-04-01 | 1.3B | [Download](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-paint-v2-0-turbo) | | Hunyuan3D-Delight-v2-0 | Image Delight Model | 2025-01-21 | 1.3B | [Download](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-delight-v2-0) | ## 🤗 Get Started with Hunyuan3D 2.0 Hunyuan3D 2.0 supports Macos, Windows, Linux. You may follow the next steps to use Hunyuan3D 2.0 via: - [Code](#code-usage) - [Gradio App](#gradio-app) - [API Server](#api-server) - [Blender Addon](#blender-addon) - [Official Site](#official-site) ### Install Requirements Please install Pytorch via the [official](https://pytorch.org/) site. Then install the other requirements via ```bash pip install -r requirements.txt pip install -e . # for texture cd hy3dgen/texgen/custom_rasterizer python3 setup.py install cd ../../.. cd hy3dgen/texgen/differentiable_renderer python3 setup.py install ``` ### Code Usage We designed a diffusers-like API to use our shape generation model - Hunyuan3D-DiT and texture synthesis model - Hunyuan3D-Paint. You could assess **Hunyuan3D-DiT** via: ```python from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent/Hunyuan3D-2') mesh = pipeline(image='assets/demo.png')[0] ``` The output mesh is a [trimesh object](https://trimesh.org/trimesh.html), which you could save to glb/obj (or other format) file. For **Hunyuan3D-Paint**, do the following: ```python from hy3dgen.texgen import Hunyuan3DPaintPipeline from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline # let's generate a mesh first pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent/Hunyuan3D-2') mesh = pipeline(image='assets/demo.png')[0] pipeline = Hunyuan3DPaintPipeline.from_pretrained('tencent/Hunyuan3D-2') mesh = pipeline(mesh, image='assets/demo.png') ``` Please visit [examples](examples) folder for more advanced usage, such as **multiview image to 3D generation** and * *texture generation for handcrafted mesh**. ### Gradio App You could also host a [Gradio](https://www.gradio.app/) App in your own computer via: Standard Version ```bash # Hunyuan3D-2mini python3 gradio_app.py --model_path tencent/Hunyuan3D-2mini --subfolder hunyuan3d-dit-v2-mini --texgen_model_path tencent/Hunyuan3D-2 --low_vram_mode # Hunyuan3D-2mv python3 gradio_app.py --model_path tencent/Hunyuan3D-2mv --subfolder hunyuan3d-dit-v2-mv --texgen_model_path tencent/Hunyuan3D-2 --low_vram_mode # Hunyuan3D-2 python3 gradio_app.py --model_path tencent/Hunyuan3D-2 --subfolder hunyuan3d-dit-v2-0 --texgen_model_path tencent/Hunyuan3D-2 --low_vram_mode ``` Turbo Version ```bash # Hunyuan3D-2mini python3 gradio_app.py --model_path tencent/Hunyuan3D-2mini --subfolder hunyuan3d-dit-v2-mini-turbo --texgen_model_path tencent/Hunyuan3D-2 --low_vram_mode --enable_flashvdm # Hunyuan3D-2mv python3 gradio_app.py --model_path tencent/Hunyuan3D-2mv --subfolder hunyuan3d-dit-v2-mv-turbo --texgen_model_path tencent/Hunyuan3D-2 --low_vram_mode --enable_flashvdm # Hunyuan3D-2 python3 gradio_app.py --model_path tencent/Hunyuan3D-2 --subfolder hunyuan3d-dit-v2-0-turbo --texgen_model_path tencent/Hunyuan3D-2 --low_vram_mode --enable_flashvdm ``` ### API Server You could launch an API server locally, which you could post web request for Image/Text to 3D, Texturing existing mesh, and e.t.c. ```bash python api_server.py --host 0.0.0.0 --port 8080 ``` A demo post request for image to 3D without texture. ```bash img_b64_str=$(base64 -i assets/demo.png) curl -X POST "http://localhost:8080/generate" \ -H "Content-Type: application/json" \ -d '{ "image": "'"$img_b64_str"'", }' \ -o test2.glb ``` ### Blender Addon With an API server launched, you could also directly use Hunyuan3D 2.0 in your blender with our [Blender Addon](blender_addon.py). Please follow our tutorial to install and use. https://github.com/user-attachments/assets/8230bfb5-32b1-4e48-91f4-a977c54a4f3e ### Official Site Don't forget to visit [Hunyuan3D](https://3d.hunyuan.tencent.com) for quick use, if you don't want to host yourself. ## 📑 Open-Source Plan - [x] Inference Code - [x] Model Checkpoints - [x] Technical Report - [x] ComfyUI - [ ] TensorRT Version - [ ] Finetuning ## 🔗 BibTeX If you found this repository helpful, please cite our reports: ```bibtex @misc{hunyuan3d22025tencent, title={Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation}, author={Tencent Hunyuan3D Team}, year={2025}, eprint={2501.12202}, archivePrefix={arXiv}, primaryClass={cs.CV} } @misc{yang2024hunyuan3d, title={Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation}, author={Tencent Hunyuan3D Team}, year={2024}, eprint={2411.02293}, archivePrefix={arXiv}, primaryClass={cs.CV} } ``` ## Community Resources Thanks for the contributions of community members, here we have these great extensions of Hunyuan3D 2.0: - [ComfyUI-3D-Pack](https://github.com/MrForExample/ComfyUI-3D-Pack) - [ComfyUI-Hunyuan3DWrapper](https://github.com/kijai/ComfyUI-Hunyuan3DWrapper) - [Hunyuan3D-2-for-windows](https://github.com/sdbds/Hunyuan3D-2-for-windows) - [📦 A bundle for running on Windows | 整合包](https://github.com/YanWenKun/Hunyuan3D-2-WinPortable) - [Hunyuan3D-2GP](https://github.com/deepbeepmeep/Hunyuan3D-2GP) - [Kaggle Notebook](https://github.com/darkon12/Hunyuan3D-2GP_Kaggle) ## Acknowledgements We would like to thank the contributors to the [Trellis](https://github.com/microsoft/TRELLIS), [DINOv2](https://github.com/facebookresearch/dinov2), [Stable Diffusion](https://github.com/Stability-AI/stablediffusion), [FLUX](https://github.com/black-forest-labs/flux), [diffusers](https://github.com/huggingface/diffusers), [HuggingFace](https://huggingface.co), [CraftsMan3D](https://github.com/wyysf-98/CraftsMan3D), and [Michelangelo](https://github.com/NeuralCarver/Michelangelo/tree/main) repositories, for their open research and exploration. ## Star History <a href="https://star-history.com/#Tencent/Hunyuan3D-2&Date"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=Tencent/Hunyuan3D-2&type=Date&theme=dark" /> <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=Tencent/Hunyuan3D-2&type=Date" /> <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=Tencent/Hunyuan3D-2&type=Date" /> </picture> </a> ", Assign "at most 3 tags" to the expected json: {"id":"13608","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"

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