---
title: 3DIS
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/3DIS"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/3DIS.md"
repository: AI-ModelScope/3DIS
last_updated: 2026-06-27
license: afl-3.0
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - black-forest-labs/FLUX.1-dev
  - stabilityai/stable-diffusion-xl-base-1.0
  - stable-diffusion-v1-5/stable-diffusion-v1-5
base_model_relation: finetune
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 460
stars: 0
tags:
  - art
  - image
---

# 3DIS

> 3DIS - AI-ModelScope 在 ModelScope 开源的模型。Our work is accepted by ICLR 2025 (Spotlight) !

AI-ModelScope/3DIS 是 ModelScope 魔搭社区上的text-to-image-synthesis模型，采用 afl-3.0 许可，基于 black-forest-labs/FLUX.1-dev、stabilityai/stable-diffusion-xl-base-1.0、stable-diffusion-v1-5/stable-diffusion-v1-5 构建。

- **Repository**: AI-ModelScope/3DIS
- **License**: afl-3.0
- **Tasks**: text-to-image-synthesis
- **Base model**: black-forest-labs/FLUX.1-dev, stabilityai/stable-diffusion-xl-base-1.0, stable-diffusion-v1-5/stable-diffusion-v1-5
- **Tags**: art, image
- **Downloads**: 460
- **Stars**: 0
- **Last updated**: 2026-06-27

Source: https://www.modelscope.cn/models/AI-ModelScope/3DIS

---

# News

### Our work is accepted by ICLR 2025 (Spotlight) !

- 🌐 [Project Website](https://limuloo.github.io/3DIS): 

- 🏠 [GitHub Repository](https://github.com/limuloo/3DIS): 

- 📄 [3DIS Paper](https://arxiv.org/abs/2410.12669):

- 📄 [3DIS-FLUX Tech Report](https://arxiv.org/abs/2501.05131):

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e99fc07e2ec711a7138262/1eJLZFN88B1qpp8iJGy8U.png)

# Usage

This is the space for the pretrained-weights of 3DIS. The inference code can be found in our [GitHub Repository](https://github.com/limuloo/3DIS).
 
# Citation
If you find this repository useful, please use the following BibTeX entry for citation.
```
@article{zhou20243dis,
  title={3dis: Depth-driven decoupled instance synthesis for text-to-image generation},
  author={Zhou, Dewei and Xie, Ji and Yang, Zongxin and Yang, Yi},
  journal={arXiv preprint arXiv:2410.12669},
  year={2024}
}

@article{zhou20253disflux,
  title={3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering},
  author={Zhou, Dewei and Xie, Ji and Yang, Zongxin and Yang, Yi},
  journal={arXiv preprint arXiv:2501.05131},
  year={2025}
}
```