---
title: Alchemy3D-1M
canonical_url: "https://www.modelscope.cn/datasets/libd55/Alchemy3D-1M"
md_url: "https://www.modelscope.cn/datasets/libd55/Alchemy3D-1M.md"
repository: libd55/Alchemy3D-1M
last_updated: 2026-09-30
license: "Apache License 2.0"
storage_size: "21 TB"
downloads: 1360
stars: 0
---

# Alchemy3D-1M

> Alchemy3D-1M - libd55 在 ModelScope 开源的数据集。Alchemy3D-1M A million-scale dataset for versatile 3D asset editing.

libd55/Alchemy3D-1M 是 ModelScope 魔搭社区上的数据集，存储大小 21 TB，采用 Apache License 2.0 许可。

- **Repository**: libd55/Alchemy3D-1M
- **License**: Apache License 2.0
- **Storage size**: 21 TB
- **Downloads**: 1360
- **Stars**: 0
- **Last updated**: 2026-09-30

Source: https://www.modelscope.cn/datasets/libd55/Alchemy3D-1M

---

<p align="center">
  <img src="assets/logo.png" alt="Alchemy3D" width="88" height="88" style="display:inline-block; vertical-align:middle; margin:0 12px 0 0;" />
  <span style="display:inline-block; vertical-align:middle; font-size:2.4em; font-weight:700; line-height:1;">Alchemy3D-1M</span>
</p>
<p align="center">
  <b>A million-scale dataset for versatile 3D asset editing.</b>
</p>
<p align="center">
  <a href="https://libd1.github.io/Alchemy3D-Project/"><img src="https://img.shields.io/badge/Project-Page-0A7F5F.svg" alt="Project Page"></a>
  <a href="https://arxiv.org/abs/2609.34271"><img src="https://img.shields.io/badge/arXiv-Paper-b31b1b.svg" alt="arXiv"></a>
  <a href="https://arxiv.org/pdf/2609.34271"><img src="https://img.shields.io/badge/Paper-PDF-red.svg" alt="PDF"></a>
  <a href="https://github.com/libd1/Alchemy3D"><img src="https://img.shields.io/badge/-code-black.svg?logo=github&logoColor=white&labelColor=555" alt="Code"></a>
  <a href="https://huggingface.co/libadi/Alchemy3D"><img src="https://img.shields.io/badge/🤗-Model-yellow.svg" alt="Hugging Face Model"></a>
  <a href="https://modelscope.cn/models/libd55/Alchemy3D"><img src="https://img.shields.io/badge/-Model-624AFF.svg?logo=modelscope&logoColor=white&labelColor=555" alt="ModelScope Model"></a>
  <a href="https://huggingface.co/datasets/libadi/Alchemy3D-1M"><img src="https://img.shields.io/badge/🤗-Alchemy3D--1M-yellow.svg" alt="Hugging Face Dataset"></a>
  <a href="https://huggingface.co/datasets/libadi/GEdit3D-Bench"><img src="https://img.shields.io/badge/🤗-GEdit3D--Bench-yellow.svg" alt="Benchmark"></a>
</p>

<p align="center">
  <img src="assets/teaser.png" alt="Alchemy3D-1M dataset teaser: a gallery of edited 3D assets." width="100%" />
</p>

**Alchemy3D-1M** is the training corpus for [Alchemy3D](https://github.com/libd1/Alchemy3D): source–target 3D editing pairs on PBR-ready assets, with text instructions and image conditions. It contains **1.25M unique assets** and **1.38M editing pairs** across **7 edit types**.

This ModelScope repository is the full release, including GLBs and latents at resolution 1024. A storage-limited alternative is available on [Hugging Face](https://huggingface.co/datasets/libadi/Alchemy3D-1M).

## Dataset Layout

The dataset contains GLBs (`glbs`), encoded latents for sparse structure (`ss_latents`), geometry (`shape_latents/{512,1024}`), PBR material (`pbr_latents/{512,1024}`), and rendered conditions (`renders_cond`). `csv` files are metadata.

Latents and assets are packed as `part_XXX.zip` shards.

## Usage

Download the dataset:

```bash
modelscope download libd55/Alchemy3D-1M --repo-type dataset --local_dir Alchemy3D-1M
```

Then unzip all zip files.

## License

Apache License 2.0. Downstream 3D generators and renderers you apply to these assets may have their own terms.

## Citation

```bibtex
@misc{li2026scalingversatile3dassets,
      title={Scaling Versatile 3D Assets Editing with a Million-Scale Dataset}, 
      author={Badi Li and Tianxin Huang and Yu Zhou and Wei-Shi Zheng and Yi Ma and Shenghua Gao},
      year={2026},
      eprint={2609.34271},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2609.34271}, 
}
```