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Demo Prompt
A young woman with shoulder-length dark brown hair and soft bangs, wearing a fitted white tank top and braided black shoulder strap backpack, standing on a subway platform. She is holding a phone with white wired earphones, looking at the camera with a neutral expression. The background shows tiled station walls with green and white tiles, yellow tactile paving, metal train tracks, and overhead fluorescent lights. Natural, candid street photography style, realistic lighting, shallow depth of field.
Model:Wan 2.2Duration: 8s

Wan 2.2 AI Video Generator

The world's first open-source MoE video model, ready in your browser

Create high-fidelity 720p video from text prompts or still images with Wan 2.2's breakthrough Mixture-of-Experts architecture. Use the hosted generator without local setup, or explore the official Apache 2.0 open-source models for supported local workflows.

Text-to-VideoImage-to-Video720p OutputMoE Architecture

Wan 2.2 Video Generation Showcase

Explore real Wan 2.2 text-to-video and image-to-video examples. Each video stays on a lightweight poster until you choose to play it.

Text-to-Video

Text-to-Video Generation

Generate videos from detailed text descriptions with Wan 2.2 AI

Image-to-Video

Image-to-Video Animation

Animate still images with natural motion using Wan AI technology

720p Quality

High-Fidelity Output

720p hosted output for detailed short-form motion

Motion

Excellent Motion Consistency

Complex camera movements and character consistency with minimal artifacts

Creative

Creative Storytelling

Transform creative ideas into compelling video narratives

Commercial

Commercial Applications

Short-form concepts for marketing and advertising workflows

Wan 2.2 AI Technical Specifications

The official Wan 2.2 release includes a 5B hybrid text-and-image model plus 14B text-to-video and image-to-video variants. Local requirements depend on the checkpoint, workflow, resolution, and optimization.

Wan 2.2 AI - 5B Model

Hybrid text and image video variant

Parameters:5 Billion
VRAM Required:Workflow dependent
Resolution:720p
Official role:Text + image video
Video Length:Workflow dependent
Generation Speed:Faster

Review the official repository and your ComfyUI workflow documentation before selecting local precision, offloading, or quantization options.

Wan 2.2 AI - 14B Model

Separate text and image video variants

Parameters:14 Billion
VRAM Required:Workflow dependent
Resolution:480p • 720p
Official role:Text or image video
Video Length:Workflow dependent
Generation Speed:Slower

The larger variants require more local compute and storage. Use the hosted generator when you prefer not to manage those requirements.

MoE Architecture

Specialized experts handle high-noise and low-noise denoising stages

Dual-Model System

High-noise and low-noise expert models share the denoising workflow

High-Fidelity Output

Hosted text and image video generation at 720p

Apache 2.0 License

Free for personal and commercial use

How to Use Wan 2.2 AI Video Generation

Get started with Wan 2.2 AI video generation using ComfyUI or cloud services. Choose the method that best fits your hardware and workflow needs.

Using ComfyUI (Local Setup)

1

Update ComfyUI

Use a current ComfyUI release and follow its Wan 2.2 workflow documentation for compatible nodes.

2

Download Model Files

Follow the official Wan 2.2 repository and current ComfyUI documentation to choose compatible model files. Hardware needs vary substantially by model, resolution, frame count, and optimization.

3

Load Workflow

In ComfyUI, use pre-built workflows designed for Wan 2.2 AI with necessary nodes for Text-to-Video or Image-to-Video generation.

4

Configure & Generate

Enter prompts, adjust parameters like resolution and frame count, then click "Queue Prompt" to start generation.

Best for: creators who are comfortable managing local model files, dependencies, and hardware limits.

Flux Context Cloud Workflow

1

Open the generator above

Use the hosted Wan 2.2 generator without downloading local model files or configuring GPU dependencies.

2

Choose text or image video

Start from a prompt or animate an image, then review the required credits before submitting the task.

3

Simple Interface

Use intuitive web interfaces to input prompts, upload images, and generate videos without technical setup.

4

Instant Results

Get your generated videos quickly without waiting for local processing or managing hardware resources.

Best for: Users who want instant access without hardware investment or technical setup.

Wan 2.2 AI Use Cases

Discover how Wan 2.2 AI video generator can transform your creative workflow across various industries and applications.

Short Clips & Ads

Quickly convert creative briefs into high-quality video clips for social media marketing or product showcases.

Digital Art & Animation

Bring still images, digital paintings, or photographs to life by adding dynamic motion.

Film Pre-Visualization

Use in early stages of filmmaking to rapidly generate concept visuals for scenes and shots.

Personal Creative Projects

Turn any wild idea into a fun, shareable video clip—from "cat playing guitar underwater" to futuristic concepts.

Wan 2.2 strengths and practical trade-offs

Choose between a convenient hosted workflow and an open-source local setup according to the control, hardware, and maintenance your project can support.

Practical strengths

Open-source model family

The official release supports inspectable, configurable local workflows for teams that can manage the required infrastructure.

Text and image video modes

Use text prompts for new scenes or animate an existing image when composition and identity need a clearer starting point.

Hosted access without setup

Flux Context handles task submission and result recovery when you do not want to maintain a local video generation stack.

Flexible workflow choices

Teams can use the hosted generator for convenience or follow the official project for supported local and research workflows.

Areas for Improvement

High VRAM Requirements

The larger variants require substantial local compute and storage, with requirements changing by precision and offloading strategy.

Slow Generation Times

Local rendering time varies widely with hardware, resolution, frame count, precision, and memory optimization.

Limited Video Length

Generated videos are currently short, typically around 5 seconds.

Physics & Artifacts

It can sometimes struggle with complex physics or produce unexpected artifacts in highly dynamic scenes.

Explore the Wan AI model family

Compare beta multimodal creation, flagship production, LoRA-tuned character video, open-source workflows, multi-shot generation, and motion transfer without leaving the Wan family.

Frequently Asked Questions About Wan 2.2 AI

Everything you need to know about Wan 2.2 AI video generation model, from technical requirements to commercial use.

What is the biggest advantage of Wan 2.2?

Wan 2.2 combines hosted text and image video generation with an official open-source model family, giving creators a choice between a convenient web workflow and more configurable local setups.

What kind of PC do I need to run Wan 2.2 AI?

The official open-source release can be used in supported local workflows such as ComfyUI. Hardware requirements vary by model, resolution, frame count, and optimization, so check the current project documentation before downloading model files.

What's the difference between the Wan 2.2 model variants?

The official release includes variants designed for different workflows and resource profiles. Larger models generally require more memory and time, while smaller variants trade some capacity for a lighter setup. Check the official repository for current files and requirements.

Can I use Wan 2.2 for my business?

The official Wan 2.2 repository is released under the Apache 2.0 license. You must still follow the license terms and hold the rights to every prompt, image, video, and likeness used in a project.

How long are the videos I can generate?

The hosted generator on this page creates short video clips. Local workflow duration depends on the selected model, frame count, available memory, and the current workflow configuration.

How does Wan 2.2 compare with Wan 2.7?

Wan 2.2 is useful for open-source and established text or image video workflows. Wan 2.7 is the broader hosted option when you need reference media, optional audio, 1080p output, or source-video editing.

Start Creating with Wan 2.2 AI Today

Generate a short Wan 2.2 clip in the browser, or review the official open-source project when you need a configurable local workflow.