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Wan 2.2 is a new generation multimodal generative model launched by WAN AI. This model adopts an innovative MoE (Mixture of Experts) architecture, consisting of high-noise and low-noise expert models. It can divide expert models according to denoising timesteps, thus generating higher quality video content. Wan 2.2 has three core features: cinematic-level aesthetic control, deeply integrating professional film industry aesthetic standards, supporting multi-dimensional visual control such as lighting, color, and composition; large-scale complex motion, easily restoring various complex motions and enhancing the smoothness and controllability of motion; precise semantic compliance, excelling in complex scenes and multi-object generation, better restoring users’ creative intentions. The model supports multiple generation modes such as text-to-video and image-to-video, suitable for content creation, artistic creation, education and training, and other application scenarios. Wan2.2 Prompt Guide

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Model Highlights

  • Cinematic-level Aesthetic Control: Professional camera language, supports multi-dimensional visual control such as lighting, color, and composition
  • Large-scale Complex Motion: Smoothly restores various complex motions, enhances motion controllability and naturalness
  • Precise Semantic Compliance: Complex scene understanding, multi-object generation, better restoring creative intentions
  • Efficient Compression Technology: 5B version with high compression ratio VAE, memory optimization, supports mixed training

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Wan2.2 Open Source Model Versions

The Wan2.2 series models are based on the Apache 2.0 open source license and support commercial use. The Apache 2.0 license allows you to freely use, modify, and distribute these models, including for commercial purposes, as long as you retain the original copyright notice and license text.

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ComfyOrg Wan2.2 Live Streams

For ComfyUI Wan2.2 usage, we have conducted live streams, which you can view to learn how to use them.
This tutorial will use the 🤗 Comfy-Org/Wan_2.2_ComfyUI_Repackaged version.
Make sure your ComfyUI is updated.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 If you can’t find them in the template, your ComfyUI may be outdated.If nodes are missing when loading a workflow, possible reasons: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
Wan2.2 template

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Wan2.2 TI2V 5B Hybrid Version Workflow Example

The Wan2.2 5B version should fit well on 8GB vram with the ComfyUI native offloading.

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Wan 2.2 5B Video Generation

Fast text-to-video and image-to-video generation with 5B parameters. Optimized for rapid prototyping and creative exploration. Wan 2.2 5B Video Generation workflow preview

Run on Comfy Cloud

Open in Comfy Cloud

Download Workflow

Download JSON or search “Wan2.2 5B” in Template Library

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2. Manually Download Models

All models mentioned can be found at Comfy-Org/Wan_2.2_ComfyUI_Repackaged. Diffusion Model

wan2.2_ti2v_5B_fp16.safetensors

5B hybrid diffusion model. Place in ComfyUI/models/diffusion_models/
VAE

wan2.2_vae.safetensors

Wan2.2 VAE. Place in ComfyUI/models/vae/
Text Encoder

umt5_xxl_fp8_e4m3fn_scaled.safetensors

FP8 text encoder. Place in ComfyUI/models/text_encoders/

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3. Follow the Steps

Step Diagram
  1. Ensure the Load Diffusion Model node loads the wan2.2_ti2v_5B_fp16.safetensors model.
  2. Ensure the Load CLIP node loads the umt5_xxl_fp8_e4m3fn_scaled.safetensors model.
  3. Ensure the Load VAE node loads the wan2.2_vae.safetensors model.
  4. (Optional) If you need to perform image-to-video generation, you can use the shortcut Ctrl+B to enable the Load image node to upload an image.
  5. (Optional) In the Wan22ImageToVideoLatent node, you can adjust the size settings and the total number of video frames (length).
  6. (Optional) If you need to modify the prompts (positive and negative), please do so in the CLIP Text Encoder node at step 5.
  7. Click the Run button, or use the shortcut Ctrl(cmd) + Enter to execute video generation.

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Wan2.2 14B T2V Text-to-Video Workflow Example

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Wan 2.2 14B Text to Video

Generate high-quality videos from text prompts with cinematic aesthetic control and dynamic motion generation using Wan 2.2. Wan 2.2 14B Text to Video workflow preview

Run on Comfy Cloud

Open in Comfy Cloud

Download Workflow

Download JSON or search “Wan2.2 14B T2V” in Template Library

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2. Manually Download Models

All models mentioned can be found at Comfy-Org/Wan_2.2_ComfyUI_Repackaged. Diffusion Models

wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors

High noise diffusion model. Place in ComfyUI/models/diffusion_models/

wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors

Low noise diffusion model. Place in ComfyUI/models/diffusion_models/
VAE

wan_2.1_vae.safetensors

Wan2.1 VAE (compatible with Wan2.2). Place in ComfyUI/models/vae/
Text Encoder

umt5_xxl_fp8_e4m3fn_scaled.safetensors

FP8 text encoder. Place in ComfyUI/models/text_encoders/

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3. Follow the Steps

Step Diagram
  1. Ensure the first Load Diffusion Model node loads the wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors model.
  2. Ensure the second Load Diffusion Model node loads the wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors model.
  3. Ensure the Load CLIP node loads the umt5_xxl_fp8_e4m3fn_scaled.safetensors model.
  4. Ensure the Load VAE node loads the wan_2.1_vae.safetensors model.
  5. (Optional) In the EmptyHunyuanLatentVideo node, you can adjust the size settings and the total number of video frames (length).
  6. (Optional) If you need to modify the prompts (positive and negative), please do so in the CLIP Text Encoder node at step 5.
  7. Click the Run button, or use the shortcut Ctrl(cmd) + Enter to execute video generation.

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Wan2.2 14B I2V Image-to-Video Workflow Example

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Wan 2.2 14B Image to Video

Transform static images into dynamic videos with precise motion control and style preservation using Wan 2.2. Wan 2.2 14B Image to Video workflow preview

Run on Comfy Cloud

Open in Comfy Cloud

Download Workflow

Download JSON or search “Wan2.2 14B I2V” in Template Library
Input materials Upload this file to the matching LoadImage node:

video_wan2_2_14B_i2v_input_image.jpg

LoadImage node 97 · video_wan2_2_14B_i2v_input_image.jpg
Example output
Input image

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2. Manually Download Models

All models mentioned can be found at Comfy-Org/Wan_2.2_ComfyUI_Repackaged. Diffusion Models

wan2.2_i2v_high_noise_14B_fp16.safetensors

High noise I2V diffusion model. Place in ComfyUI/models/diffusion_models/

wan2.2_i2v_low_noise_14B_fp16.safetensors

Low noise I2V diffusion model. Place in ComfyUI/models/diffusion_models/
VAE

wan_2.1_vae.safetensors

Wan2.1 VAE (compatible with Wan2.2). Place in ComfyUI/models/vae/
Text Encoder

umt5_xxl_fp8_e4m3fn_scaled.safetensors

FP8 text encoder. Place in ComfyUI/models/text_encoders/

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3. Follow the Steps

Step Diagram
  1. Make sure the first Load Diffusion Model node loads the wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors model.
  2. Make sure the second Load Diffusion Model node loads the wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors model.
  3. Make sure the Load CLIP node loads the umt5_xxl_fp8_e4m3fn_scaled.safetensors model.
  4. Make sure the Load VAE node loads the wan_2.1_vae.safetensors model.
  5. In the Load Image node, upload the image to be used as the initial frame.
  6. If you need to modify the prompts (positive and negative), do so in the CLIP Text Encoder node at step 6.
  7. (Optional) In EmptyHunyuanLatentVideo, you can adjust the size settings and the total number of video frames (length).
  8. Click the Run button, or use the shortcut Ctrl(cmd) + Enter to execute video generation.

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Wan2.2 14B FLF2V Workflow Example

The first and last frame workflow uses the same model locations as the I2V section.

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Wan 2.2 14B First-Last Frame to Video

Generate smooth video transitions by defining start and end frames. Wan 2.2 14B First-Last Frame to Video workflow preview

Run on Comfy Cloud

Open in Comfy Cloud

Download Workflow

Download JSON or search “Wan2.2 14B FLF2V” in Template Library
Input materials Upload these files to the matching LoadImage nodes:

video_wan2_2_14B_flf2v_start_image.png

LoadImage node 62 · video_wan2_2_14B_flf2v_start_image.png

video_wan2_2_14B_flf2v_end_image.png

LoadImage node 68 · video_wan2_2_14B_flf2v_end_image.png
video_wan2_2_14B_flf2v_start_image.pngvideo_wan2_2_14B_flf2v_end_image.png

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2. Follow the Steps

Step Diagram
  1. Upload the image to be used as the starting frame in the first Load Image node.
  2. Upload the image to be used as the ending frame in the second Load Image node.
  3. Adjust the size settings in the WanFirstLastFrameToVideo node.
    • By default, a relatively small size is set to prevent low VRAM users from consuming too many resources.
    • If you have enough VRAM, you can try a resolution around 720P.
  4. Write appropriate prompts according to your first and last frames.
  5. Click the Run button, or use the shortcut Ctrl(cmd) + Enter to execute video generation.

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Community Resources

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GGUF Versions

Custom Node City96/ComfyUI-GGUF

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WanVideoWrapper

Kijai/ComfyUI-WanVideoWrapper Wan2.2 models Kijai/WanVideo_comfy_fp8_scaled Wan2.1 models Kijai/WanVideo_comfy/Lightx2v Lightx2v 4steps LoRA