---
title: wan22_i2v_14b_orbit_shot_lora
canonical_url: "https://www.modelscope.cn/models/ostris/wan22_i2v_14b_orbit_shot_lora"
md_url: "https://www.modelscope.cn/models/ostris/wan22_i2v_14b_orbit_shot_lora.md"
repository: ostris/wan22_i2v_14b_orbit_shot_lora
last_updated: 2025-08-20
license: apache-2.0
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - Wan-AI/Wan2.2-I2V-A14B
base_model_relation: adapter
parameters: 153.4M
tensor_type:
  - BF16
library_name:
  - lora
  - diffusers
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 338
stars: 2
tags:
  - text-to-image
  - lora
  - diffusers
  - "template:diffusion-lora"
---

# wan22_i2v_14b_orbit_shot_lora

> wan22_i2v_14b_orbit_shot_lora - ostris 在 ModelScope 开源的模型。Wan 2.2 I2V 14B Orbital Shot LoRA

ostris/wan22_i2v_14b_orbit_shot_lora 是 ModelScope 魔搭社区上的 153.4M 参数text-to-image-synthesis模型，采用 apache-2.0 许可，基于 Wan-AI/Wan2.2-I2V-A14B 构建。

- **Repository**: ostris/wan22_i2v_14b_orbit_shot_lora
- **License**: apache-2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 153.4M
- **Base model**: Wan-AI/Wan2.2-I2V-A14B
- **Tags**: text-to-image, lora, diffusers, template:diffusion-lora
- **Downloads**: 338
- **Stars**: 2
- **Last updated**: 2025-08-20

Source: https://www.modelscope.cn/models/ostris/wan22_i2v_14b_orbit_shot_lora

---

# Wan 2.2 I2V 14B Orbital Shot LoRA

<Gallery />

This LoRA was trained while filming the tutorial, [Train a Wan 2.2 I2V 14B LoRA with AI Toolkit](https://youtu.be/2d6A_l8c_x8). 
Check out that video for more information. It was trained using [Ostris - AI Toolkit](https://github.com/ostris/ai-toolkit)


## Trigger words

You should use `orbit 360` to trigger the image generation.


## Download model


[Download](/ostris/wan22_i2v_14b_orbit_shot_lora/tree/main) them in the Files & versions tab.