---
title: Formless_Shadow
canonical_url: "https://www.modelscope.cn/models/DuoLeP/Formless_Shadow"
md_url: "https://www.modelscope.cn/models/DuoLeP/Formless_Shadow.md"
repository: DuoLeP/Formless_Shadow
chinese_name: "无相之影（一丹一世界）"
last_updated: 2025-03-24
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - "MAILAND/majicflus_v1@v1.0"
base_model_relation: adapter
parameters: 306.3M
tensor_type:
  - BF16
  - F32
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - Pytorch
supports_inference: txt2img
downloads: 381
stars: 7
tags:
  - LoRA
  - text-to-image
---

# Formless_Shadow

> Formless_Shadow - DuoLeP 在 ModelScope 开源的模型。无相之影”灵感源自《金刚经》中“凡所有相，皆是虚妄”的智慧，呈现万物在流动与交融中的朦胧姿态。我们所见的形象多为刹那幻影，宛若指间流沙，让人不禁思索：何为真实？在这若隐若现的虚幻里，我们渐渐放下对形相的执着，转而感知深层的空灵与宁静。设计希望在光影交错之间，引领观者体悟一切无常的深邃意境，并于心中升起对生命的柔软与共鸣。也唯有如此，我们才得以超越表象，看见那超越一切相的自在与圆融。

DuoLeP/Formless_Shadow 是 ModelScope 魔搭社区上的 306.3M 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，基于 MAILAND/majicflus_v1@v1.0 构建，并支持在线推理（txt2img）。

- **Repository**: DuoLeP/Formless_Shadow
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 306.3M
- **Base model**: MAILAND/majicflus_v1@v1.0
- **Online inference**: txt2img
- **Tags**: LoRA, text-to-image
- **Downloads**: 381
- **Stars**: 7
- **Last updated**: 2025-03-24

Source: https://www.modelscope.cn/models/DuoLeP/Formless_Shadow

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 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('DuoLeP/Formless_Shadow')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/DuoLeP/Formless_Shadow.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>