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Wan 2.2 Workflow
Last Update：2025-08-19
This workflow includes two sections: text to video and image to video
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Workflow Details
Type
Workflow
Rating
4.2
Publish Time
2025-07-31
Status
Usable
Node Info (52)
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Personalize Your AI Video Creation with Wan2.2 Workflow
Experience top-tier AI video generation for free with Wan 2.2workflow. Leverage 52 specialized nodes for customizable, cinematic, and efficient video creation on SeaArt AI Comfyui.
Text-to-Video & Image-to-Video Support
Wan 2.2 is a new-generation multimodal generative model based on an innovative MoE architecture. It supports multiple generation modes, including text-to-video and image-to-video. Whether crafting entertaining clips, AI short films, or training materials, Wan 2.2 workflow ensures every frame is visually stunning, highly realistic, and tailored to your creative vision - all with remarkable speed and efficiency.
Customize Your Video Generation with 52 Nodes
With wan 2.2 workflow, you can harness 52 specialized nodes, covering prompt input, model selection, sampling, latent upscaling, and VAE encoding/decoding and more, to fully customize your video generation process. This modular system replaces random "gacha-style" outputs with precise, empowering you to define every detail and achieve consistent, tailored AI generated videos that match your creative vision.
Cinematic Visuals and Complex Motion Control
Wan 2.2 workflow achieves cinematic visuals through advanced control of lighting, color, and composition, while its complex motion management delivers smooth, natural dynamics. Precise semantic compliance enables deep understanding of complex scenes and seamless multi-object generation, ensuring your creative ideas and dynamic storytelling are accurately realized.
Instant Video Preview and Refinement
Instantly preview your video creations and make real-time adjustments in Wan 2.2 workflow. Watch your project evolve as you refine workflows, benefiting from immediate visual feedback that speeds up the creative process. Workflow's convenient settings ensure every detail is perfected quickly and efficiently, giving you greater precision and control over your AI video generation from start to finish.
Pros of Wan 2.2 Workflow
User-Friendly Interface
Node-based visual workflow makes it easy to design, adjust, and experiment, even for beginners.
Precise Customization
52 modular nodes for detailed workflow customization, fine-tuned control over every aspect of generation.
Cinematic Visual Quality
Reduces randomness and unpredictability, delivering professional-grade visuals with consistency.
Complex Motion and Scene Handling
Excels at generating smooth, natural motion and understanding complex scenes with multiple objects.
How to Use the Wan 2.2 Workflow?
Step 1: Input Your Prompt or Image
Enter your text prompt or upload an image to start your AI video creation.
Step 2: Select Model and Adjust Settings
Choose your desired model and customize parameters such as resolution, motion, style, and more.
Step 3: Preview and Refine in Real Time
Instantly preview results, make adjustments, and fine-tune your workflow as needed.
Step 4: Generate and Download
Once satisfied, generate the final output and download your AI video.
FAQs About the Wan 2.2 Workflow
What is Wan2.2 workflow and how does it work?
Why Choose Wan 2.2 ComfyUI Workflow?
Say goodbye to random, unpredictable generations. With Wan 2.2 workflow, you gain precise control, faster results, and superior quality—ushering in a new era of AI video and image creation. Whether you’re using the Wan 2.2 workflow for professional or personal projects, it delivers top-tier performance for free.
What has been improved in Wan 2.2 compared to Wan 2.1?
Compared to wan 2.1, wan 2.2 introduces major improvements including enhanced cinematic visual controls (lighting, color, composition), more stable and fluid motion generation, and significantly faster processing speeds. It now supports both text-to-video and image-to-video modes, offers better semantic understanding for complex scenes and multi-object generation, and features a new MoE (Mixture of Experts) architecture for higher quality and more realistic video outputs.
