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Craftsman

creativeml-openrail-m

ArtOtherVersionRevision df4ddf7CBewertung

Modellquelle

Art
Other
Dateigröße
4,64 GB
Version
vRevision df4ddf7
Aktualisiert
15. Sept. 2026
Downloads
80
Quelle
Hugging Face

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creativeml-openrail-m

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1 Quelle
Hugging FacePrimärVersion df4ddf7544cc2e75c5d24cb8605d8e91f0fa4abc
huggingface.co/craftsman3d/craftsman/tree/df4ddf7544cc2e75c5d24cb8605d8e91f0fa4abc

Verifiziert 1. Sept.

Modellartefakte

1 Artefakt

model.ckpt

ckpt · 4,64 GB · SHA-256 e157fd5f106c…a729 · Hugging Face

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--- library_name: craftsman-v1-5 license: creativeml-openrail-m license_name: creativeml-openrail-m license_link: https://raw.githubusercontent.com/CompVis/stable-diffusion/refs/heads/main/LICENSE pipeline_tag: image-to-3d language: - en - zh --- ## **CraftsMan-v1-5** ### <div align="center">CraftsMan: High-fidelity Mesh Generation <br> with 3D Native Generation and Interactive Geometry Refiner<div> ##### <p align="center"> [Weiyu Li<sup>*1,2</sup>](https://wyysf-98.github.io/), Jiarui Liu<sup>*1,2</sup>, Hongyu Yan<sup>*1,2</sup>, [Rui Chen<sup>1,2</sup>](https://aruichen.github.io/), [Yixun Liang<sup>2,3</sup>](https://yixunliang.github.io/), [Xuelin Chen<sup>4</sup>](https://xuelin-chen.github.io/), [Ping Tan<sup>1,2</sup>](https://ece.hkust.edu.hk/pingtan), [Xiaoxiao Long<sup>1,2</sup>](https://www.xxlong.site/)</p> ##### <p align="center"> <sup>1</sup>HKUST, <sup>2</sup>LightIllusions, <sup>3</sup>HKUST(GZ), <sup>4</sup>Tencent AI Lab</p> <div align="center"> <a href="https://craftsman3d.github.io/"><img src="https://img.shields.io/static/v1?label=Project%20Page&message=Github&color=blue&logo=github-pages"></a> &ensp; <a href="http://algodemo.bj.lightions.top:24926"><img src="https://www.gradio.app/_app/immutable/assets/gradio.CHB5adID.svg" height="25"/></a> &ensp; <a href="https://arxiv.org/pdf/2405.14979"><img src="https://img.shields.io/static/v1?label=Paper&message=Arxiv&color=red&logo=arxiv"></a> &ensp; </div> # Usage To use the model, please refer to the [official repository](https://github.com/wyysf-98/CraftsMan) for installation and usage instructions. ``` from craftsman import CraftsManPipeline import torch pipeline = CraftsManPipeline.from_pretrained("./ckpts/craftsman-v1-5", device="cuda:0", torch_dtype=torch.float32) # load from local ckpt mesh = pipeline("https://pub-f9073a756ec645d692ce3d171c2e1232.r2.dev/data/werewolf.png").meshes[0] mesh.export("werewolf.obj") ``` ## 🔥🔥🔥 News!! * Nov 16, 2024: 💬 We release the CraftsMan-v1-5 ## 📑 Open-source Plan - [x] Inference - [x] Checkpoints - [x] Training - [ ] ComfyUI ## 🎉 **CraftMan-v1-5 Architecture** <p align="center"> <img src="./assets/arch.png" height=400> </p> ## Get Started #### Begin by cloning the repository: ```shell git clone https://github.com/wyysf-98/CraftsMan cd CraftsMan ``` #### Installation Guide for Linux We provide an env_install.sh script file...

Source context: 80 downloads · 18 likes · Pipeline image-to-3d · Library craftsman-v1-5 · Repo craftsman3d/craftsman