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Wan2.1 Video 系列为阿里巴巴于 2025年2月开源的视频生成模型,其开源协议为 Apache 2.0,提供 14B(140亿参数)和 1.3B(13亿参数)两个版本,覆盖文生视频(T2V)、图生视频(I2V)等多项任务。 该模型不仅在性能上超越现有开源模型,更重要的是其轻量级版本仅需 8GB 显存即可运行,大大降低了使用门槛。
请确保你的 ComfyUI 已经更新。本指南里的工作流可以在工作流模板中找到。如果找不到,可能是 ComfyUI 没有更新。如果加载工作流时有节点缺失,可能原因有:
  1. 你用的不是最新版(每夜版)。
  2. 启动时有些节点导入失败。

Wan2.1 ComfyUI 原生(native)工作流示例

请确保你的 ComfyUI 已经更新。本指南里的工作流可以在工作流模板中找到。如果找不到,可能是 ComfyUI 没有更新。如果加载工作流时有节点缺失,可能原因有:
  1. 你用的不是最新版(每夜版)。
  2. 启动时有些节点导入失败。

模型安装

本指南中提到的所有模型都可以在这里找到。以下是本指南中的示例所需的常见模型,你可以提前下载: 文本编码器中选择一个版本下载:

umt5_xxl_fp16.safetensors

FP16 精度文本编码器。放置于 ComfyUI/models/text_encoders/

umt5_xxl_fp8_e4m3fn_scaled.safetensors

FP8 缩放文本编码器。放置于 ComfyUI/models/text_encoders/
VAE

wan_2.1_vae.safetensors

Wan2.1 VAE 模型。放置于 ComfyUI/models/vae/
CLIP Vision

clip_vision_h.safetensors

用于图像条件的 CLIP Vision 模型。放置于 ComfyUI/models/clip_vision/
文件保存位置:
对于 diffusion 模型,本指南将使用 fp16 精度模型,因为我们发现它们比 bf16 版本表现更好。如果你需要其他精度的版本,请访问这里下载。

Wan2.1 Text-to-Video Workflow (1.3B)

Wan 2.1 Text to Video

Generate videos from text prompts using Wan 2.1. Wan 2.1 Text to Video workflow preview

Run on Comfy Cloud

Open in Comfy Cloud

Download Workflow

Download JSON or search “Wan 2.1 Text to Video” in Template Library

Model Downloads

wan2.1_t2v_1.3B_fp16.safetensors

Diffusion model for Wan2.1 Text-to-Video. Place in ComfyUI/models/diffusion_models/
If you need other t2v precision versions, please visit here to download them.

Steps to Run

ComfyUI Wan2.1 Workflow Steps
  1. Make sure the Load Diffusion Model node has loaded the wan2.1_t2v_1.3B_fp16.safetensors model
  2. Make sure the Load CLIP node has loaded the umt5_xxl_fp8_e4m3fn_scaled.safetensors model
  3. Make sure the Load VAE node has loaded the wan_2.1_vae.safetensors model
  4. (Optional) You can modify the video dimensions in the EmptyHunyuanLatentVideo node if needed
  5. (Optional) If you need to modify the prompts (positive and negative), make changes in the CLIP Text Encoder node at number 5
  6. Click the Run button or use the shortcut Ctrl(cmd) + Enter to execute the video generation

Wan2.1 Image-to-Video Workflow (14B)

Since Wan Video separates the 480P and 720P models, we’ll need to provide examples for both resolutions in this guide. In addition to using different models, they also have slight parameter differences.

480P Version

Wan 2.1 Image to Video

Generate videos from images using Wan 2.1. Wan 2.1 Image to Video workflow preview

Run on Comfy Cloud

Open in Comfy Cloud

Download Workflow

Download JSON or search “Wan 2.1 Image to Video” in Template Library
Input materials Upload this file to the matching LoadImage node:

image_to_video_wan_start_image.png

LoadImage node 52 · image_to_video_wan_start_image.png
image_to_video_wan_start_image.png

Model Downloads

wan2.1_i2v_480p_14B_fp16.safetensors

Diffusion model for Wan2.1 I2V 480P. Place in ComfyUI/models/diffusion_models/

Steps to Run

ComfyUI Wan2.1 Workflow Steps
  1. Make sure the Load Diffusion Model node has loaded the wan2.1_i2v_480p_14B_fp16.safetensors model
  2. Make sure the Load CLIP node has loaded the umt5_xxl_fp8_e4m3fn_scaled.safetensors model
  3. Make sure the Load VAE node has loaded the wan_2.1_vae.safetensors model
  4. Make sure the Load CLIP Vision node has loaded the clip_vision_h.safetensors model
  5. Upload the provided input image in the Load Image node
  6. (Optional) Enter the video description content you want to generate in the CLIP Text Encoder node
  7. (Optional) You can modify the video dimensions in the WanImageToVideo node if needed
  8. Click the Run button or use the shortcut Ctrl(cmd) + Enter to execute the video generation

720P Version

Wan2.1 Image-to-Video Workflow 14B 720P

Run on Comfy Cloud

Open in Comfy Cloud

Download Workflow

Download the workflow image and drag it into ComfyUI to load the workflow

Input Image

Download the default input image, or use your own image.

Model Downloads

wan2.1_i2v_720p_14B_fp16.safetensors

Diffusion model for Wan2.1 I2V 720P. Place in ComfyUI/models/diffusion_models/

Steps to Run

ComfyUI Wan2.1 Workflow Steps
  1. Make sure the Load Diffusion Model node has loaded the wan2.1_i2v_720p_14B_fp16.safetensors model
  2. Make sure the Load CLIP node has loaded the umt5_xxl_fp8_e4m3fn_scaled.safetensors model
  3. Make sure the Load VAE node has loaded the wan_2.1_vae.safetensors model
  4. Make sure the Load CLIP Vision node has loaded the clip_vision_h.safetensors model
  5. Upload the provided input image in the Load Image node
  6. (Optional) Enter the video description content you want to generate in the CLIP Text Encoder node
  7. (Optional) You can modify the video dimensions in the WanImageToVideo node if needed
  8. Click the Run button or use the shortcut Ctrl(cmd) + Enter to execute the video generation