---
title: WAN_loRAs
canonical_url: "https://www.modelscope.cn/models/ApacheOne/WAN_loRAs"
md_url: "https://www.modelscope.cn/models/ApacheOne/WAN_loRAs.md"
repository: ApacheOne/WAN_loRAs
last_updated: 2026-04-04
model_type:
  - custom
parameters: 138.6B
tensor_type:
  - BF16
  - F16
  - F32
  - F8_E4M3
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 5838
stars: 4
tags:
  - art
  - not-for-all-audiences
---

# WAN_loRAs

> WAN_loRAs - ApacheOne 在 ModelScope 开源的模型。LoRAs A group of LoRAs for SOTA WAN2.1 CKPT models ALL loRAs have markdown files with info from the author of the model.

- **Repository**: ApacheOne/WAN_loRAs
- **Parameters**: 138.6B
- **Tags**: art, not-for-all-audiences
- **Downloads**: 5838
- **Stars**: 4
- **Last updated**: 2026-04-04

Source: https://www.modelscope.cn/models/ApacheOne/WAN_loRAs

---

## LoRAs
+ A group of LoRAs for SOTA WAN2.1 CKPT models
+ ALL loRAs have markdown files with info from the author of the model.  

### Ex.
#### ALL have
- Trigger words(models without extra infomation have none)
- Authors nicknames
- Base model type
- Description
- Version
- Links to more info

#### Some have
- T2V(Text : Video) | T2I(Text : Image)
- I2V(Image : Video) | I2I(Image : Image)
- V2V(Video : Video)
- most of these can be used for both just keep an eye for errors in log

## Community information
All models listed are for continuing the great open source push of GEN AI
  **Usage Guidelines:**
  - **Age Restriction:** Due to the explicit nature of the generated content, usage is restricted to individuals over the legal age in their jurisdiction.

## Thanks 
- Authors and Brains behind these models and info
- Hosting and Sharing platforms


# TODOs
- Filter out none WAN2.1 models 
- CAT. by LoRA type