---
title: wan_lora_v1
canonical_url: "https://www.modelscope.cn/models/stablediffusionapi/wan_lora_v1"
md_url: "https://www.modelscope.cn/models/stablediffusionapi/wan_lora_v1.md"
repository: stablediffusionapi/wan_lora_v1
last_updated: 2025-08-29
license: creativeml-openrail-m
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - Wan-AI/Wan2.1-T2V-14B-Diffusers
base_model_relation: adapter
parameters: 153.4M
tensor_type:
  - F16
library_name:
  - pytorch
  - lora
  - diffusers
  - safetensors
frameworks:
  - pytorch
downloads: 108
stars: 0
tags:
  - text-to-image
  - lora
  - diffusers
  - "template:sd-lora"
  - ai-toolkit
---

# wan_lora_v1

> wan_lora_v1 - stablediffusionapi 在 ModelScope 开源的模型。loratrain1 Model trained with AI Toolkit by Ostris

stablediffusionapi/wan_lora_v1 是 ModelScope 魔搭社区上的 153.4M 参数text-to-image-synthesis模型，采用 creativeml-openrail-m 许可，基于 Wan-AI/Wan2.1-T2V-14B-Diffusers 构建。

- **Repository**: stablediffusionapi/wan_lora_v1
- **License**: creativeml-openrail-m
- **Tasks**: text-to-image-synthesis
- **Parameters**: 153.4M
- **Base model**: Wan-AI/Wan2.1-T2V-14B-Diffusers
- **Tags**: text-to-image, lora, diffusers, template:sd-lora, ai-toolkit
- **Downloads**: 108
- **Stars**: 0
- **Last updated**: 2025-08-29

Source: https://www.modelscope.cn/models/stablediffusionapi/wan_lora_v1

---

# lora_train_1
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

No trigger words defined.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/stablediffusionapi/wan_lora_v1/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('Wan-AI/Wan2.1-T2V-14B-Diffusers', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('stablediffusionapi/wan_lora_v1', weight_name='lora_train_1.safetensors')
image = pipeline('post malone cool singing').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)