---
title: peko_kanibiimu_krea2_v0
canonical_url: "https://www.modelscope.cn/models/muyouwei/peko_kanibiimu_krea2_v0"
md_url: "https://www.modelscope.cn/models/muyouwei/peko_kanibiimu_krea2_v0.md"
repository: muyouwei/peko_kanibiimu_krea2_v0
chinese_name: "かにビーム_krea2"
last_updated: 2026-10-04
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - krea/Krea-2-Turbo
base_model_relation: adapter
parameters: 703.8M
tensor_type:
  - F16
library_name:
  - lora
  - safetensors
supports_inference: txt2img
downloads: 27
stars: 0
tags:
  - LoRA
  - text-to-image
---

# peko_kanibiimu_krea2_v0

> peko_kanibiimu_krea2_v0 - muyouwei 在 ModelScope 开源的模型。本模型依托魔搭社区（ModelScope）AIGC专区模型训练环境与算力完成训练。

muyouwei/peko_kanibiimu_krea2_v0 是 ModelScope 魔搭社区上的 703.8M 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，基于 krea/Krea-2-Turbo 构建，并支持在线推理（txt2img）。

- **Repository**: muyouwei/peko_kanibiimu_krea2_v0
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 703.8M
- **Base model**: krea/Krea-2-Turbo
- **Online inference**: txt2img
- **Tags**: LoRA, text-to-image
- **Downloads**: 27
- **Stars**: 0
- **Last updated**: 2026-10-04

Source: https://www.modelscope.cn/models/muyouwei/peko_kanibiimu_krea2_v0

---

## 模型介绍

本模型依托魔搭社区（ModelScope）AIGC专区[模型训练](https://modelscope.cn/aigc/modelTraining)环境与算力完成训练。

* 模型类型：LoRA
* 基础模型：[krea/Krea-2-Turbo](https://modelscope.cn/models/krea/Krea-2-Turbo)
* 训练代码：[DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* 训练数据量：33
* 总训练步数：6000
* 开源协议：Apache-2.0

#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型


SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('muyouwei/peko_kanibiimu_krea2_v0')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/muyouwei/peko_kanibiimu_krea2_v0.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<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;">模型贡献文档</a>，及时完善模型卡片内容。</p>