ComfyUI Wan-Move 工作流示例

Wan-Move 是一个通过潜在轨迹引导实现运动可控视频生成的模型，支持图像到视频生成的精细点级运动控制。

Wan-Move 是阿里巴巴通义实验室开发的运动可控视频生成框架。它允许用户通过在输入图像上指定点轨迹来控制生成视频中的物体运动，使图生视频更加精确可控。

核心特性：

• 高质量 5 秒 480p 运动控制：生成 5 秒、480p 分辨率的视频，具有精细的运动可控性
• 潜在轨迹引导：通过沿轨迹传播首帧特征来表示运动条件
• 精细点级控制：使用密集点轨迹表示物体运动，实现精确的区域级控制
• 无需架构更改：无缝集成到 Wan-I2V-14B，无需额外的运动模块

相关链接：

• GitHub
• Hugging Face
• 论文

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Wan-Move 图生视频工作流

下载 JSON 工作流文件

在 ComfyUI Cloud 上运行

Portable or self deployed users

Make sure your ComfyUI is updated.

• Download ComfyUI
• Update Guide

Workflows in this guide can be found in the Workflow Templates. If you can’t find them in the template, your ComfyUI may be outdated. (Desktop version’s update will delay sometime)

If nodes are missing when loading a workflow, possible reasons:

1. You are not using the latest ComfyUI version (Nightly version)
2. Some nodes failed to import at startup

Desktop or Cloud users

• The Desktop is base on ComfyUI stable release, it will auto-update when there is a new Desktop stable release available.
• Cloud will update after ComfyUI stable release.

So, if you find any core node missing in this document, it might be because the new core nodes have not yet been released in the latest stable version. Please wait for the next stable release.

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模型下载链接

text_encoders

• umt5_xxl_fp8_e4m3fn_scaled.safetensors

clip_vision

• clip_vision_h.safetensors

loras

• lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors

diffusion_models

• Wan21-WanMove_fp8_scaled_e4m3fn_KJ.safetensors

vae

• wan_2.1_vae.safetensors

模型存放位置

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 text_encoders/
│   │      └── umt5_xxl_fp8_e4m3fn_scaled.safetensors
│   ├── 📂 clip_vision/
│   │      └── clip_vision_h.safetensors
│   ├── 📂 loras/
│   │      └── lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors
│   ├── 📂 diffusion_models/
│   │      └── Wan21-WanMove_fp8_scaled_e4m3fn_KJ.safetensors
│   └── 📂 vae/
│          └── wan_2.1_vae.safetensors