---
title: Kaleido-14B-S2V
canonical_url: "https://www.modelscope.cn/models/ZhipuAI/Kaleido-14B-S2V"
md_url: "https://www.modelscope.cn/models/ZhipuAI/Kaleido-14B-S2V.md"
repository: ZhipuAI/Kaleido-14B-S2V
last_updated: 2025-12-11
license: mit
base_model:
  - Wan-AI/Wan2.1-T2V-14B
base_model_relation: finetune
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 157
stars: 1
---

# Kaleido-14B-S2V

> Kaleido-14B-S2V - ZhipuAI 在 ModelScope 开源的模型。KALEIDO: OPEN-SOURCED MULTI-SUBJECT REFERENCE VIDEO GENERATION MODEL

ZhipuAI/Kaleido-14B-S2V 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可，基于 Wan-AI/Wan2.1-T2V-14B 构建。

- **Repository**: ZhipuAI/Kaleido-14B-S2V
- **License**: mit
- **Base model**: Wan-AI/Wan2.1-T2V-14B
- **Downloads**: 157
- **Stars**: 1
- **Last updated**: 2025-12-11

Source: https://www.modelscope.cn/models/ZhipuAI/Kaleido-14B-S2V

---

# KALEIDO: OPEN-SOURCED MULTI-SUBJECT REFERENCE VIDEO GENERATION MODEL

This repository contains the official implementation of **Kaleido**, proposed in our paper:
<a href="https://arxiv.org/abs/2510.18573#">
  <img src="https://img.shields.io/badge/arXiv-2510.18573-B31B1B.svg" style="vertical-align: middle;">
</a>

## Update and News

* 2025.10.28: 🔥 We release the checkpoints of Kaleido-14B-S2V.
* 2025.10.22: 🔥 We propose **Kaleido**, a novel multi-subject reference video generation model.
* 
### Checkpoints Download

Use the following commands to download the model weights
(We have integrated both Wan VAE and T5 modules into this checkpoint for convenience).

```bash
# Download the repository (skip automatic LFS file downloads)
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Crilias/Kaleido-14B-S2V

# Enter the repository folder
cd Kaleido-14B-S2V

# Merge the checkpoint files
python merge_kaleido.py
```

Arrange the model files into the following structure:

```text
.
├── Kaleido-14B-S2V
│   ├── model
│   │   └── ....
│   ├── Wan2.1_VAE.pth
│   │
│   └── umt5-xxl
│       └── ....
├── configs
├── sat
└── sgm
```
## Citation 
If you find our work helpful, please cite our paper:

```bibtex
@misc{zhang2025kaleidoopensourcedmultisubjectreference,
      title={Kaleido: Open-Sourced Multi-Subject Reference Video Generation Model}, 
      author={Zhenxing Zhang and Jiayan Teng and Zhuoyi Yang and Tiankun Cao and Cheng Wang and Xiaotao Gu and Jie Tang and Dan Guo and Meng Wang},
      year={2025},
      eprint={2510.18573},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2510.18573}, 
}