---
title: animagine-xl-3.0-base
canonical_url: "https://www.modelscope.ai/models/cagliostrolab-org/animagine-xl-3.0-base"
md_url: "https://www.modelscope.ai/models/cagliostrolab-org/animagine-xl-3.0-base.md"
repository: cagliostrolab-org/animagine-xl-3.0-base
last_updated: 2026-01-23
license: openrail++
parameters: 6.9B
tensor_type:
  - F16
library_name:
  - safetensors
  - diffusers
downloads: 20
stars: 0
---

# animagine-xl-3.0-base

> animagine-xl-3.0-base - An open-source model by cagliostrolab-org on ModelScope. You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab.…

cagliostrolab-org/animagine-xl-3.0-base is a 6.9B-parameter machine learning model on ModelScope. licensed under openrail++.

- **Repository**: cagliostrolab-org/animagine-xl-3.0-base
- **License**: openrail++
- **Parameters**: 6.9B
- **Downloads**: 20
- **Stars**: 0
- **Last updated**: 2026-01-23

Source: https://www.modelscope.ai/models/cagliostrolab-org/animagine-xl-3.0-base

---

### You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab.
#### Model files may be downloaded with ModelScope SDK or through git clone directly.

Download with ModelScope’s Python SDK
```bash
#Install ModelScope
pip install modelscope
```
```python
#Download with ModelScope’s Python SDK
from modelscope import snapshot_download
model_dir = snapshot_download('cagliostrolab-org/animagine-xl-3.0-base')
```
Download with Git clone
```
git clone https://www.modelscope.ai/cagliostrolab-org/animagine-xl-3.0-base.git
```

<p style="color: lightgrey;">If you are a contributor to this model, we invite you to promptly update the model card content according to <a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">the model contribution documentation</a>.</p>