AI model workflow

WAN ComfyUI Workflows

Create video from text or images with WAN in ComfyUI. Use dedicated animation and editing workflows to transfer character motion, guide opening and ending frames, or rework existing footage. Run them on RunComfy Cloud, download workflow JSON, or deploy supported workflows as APIs.

51 workflows

Featured workflow

Wan 2.2 | Open-Source Video Gen Leader

The workflows

51 WAN ComfyUI Workflows

Compare WAN ComfyUI examples by input and result: a new video, animated character, or edited clip. Open a workflow to check its Wan version, references, and instructions. Run it on RunComfy Cloud, download the workflow JSON, or deploy supported workflows as APIs.

32 of 51 workflows shown

About WAN

What can WAN do in ComfyUI?

WAN in ComfyUI supports text-to-video and image-to-video generation, with specialized workflows for character animation and video editing. Its broader ecosystem adds reference motion, speech-driven performances, and controls for transforming existing footage.

Choose Wan 2.2 text-to-video or image-to-video for general creation. Wan Animate examples focus on animation and replacement, S2V examples use speech as an input, and VACE examples provide video editing controls. Wan 2.1 remains the base for several specialized workflows.

The input matters as much as the model name. A driving video controls a different kind of result from an audio track or a pair of keyframes. Talking-avatar, dance, and story-video pipelines may add other models or controls; open their detail pages for the exact requirements.

References and model resources: Wan2.2 GitHub, Wan2.1 GitHub, Explore WAN models on Hugging Face, Explore WAN models on Civitai.

Capabilities

Explore WAN capabilities in ComfyUI

Explore prompt and image generation alongside dedicated motion-transfer, lip-sync, keyframe, and video-editing setups. Select the controls that match your available inputs.

WAN models on RunComfy

Create WAN video without local model setup

Use a prepared Wan setup in ComfyUI to work with your own prompts, images, audio, or driving footage. Choose a cloud GPU for the selected model and video size. Download the JSON when you want to reproduce the setup locally with its required files.

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  • Editable video inputs

    Adjust the prompts, images, speech, or driving footage required by the selected Wan example.

  • Reference and model assets

    Keep compatible models and supporting assets with the cloud setup for reuse.

  • Prepared dependencies

    Start with the example's configured dependencies, including the tools used for specialized video tasks.

  • Cloud GPU options

    Choose GPU memory for the model format, resolution, frame count, and control stages you use.

Applications

What you can make with WAN

Find an example for an animated photo, talking avatar, dance clip, story scene, or restyled video.

Photo Animation

Create a moving character scene from an image and the inputs required by the selected Animate setup.

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Talking Avatars

Pair a portrait with speech in an InfiniteTalk pipeline for an audio-driven character video.

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AI Dance Videos

Combine an image and music in a Wan Dancer setup to develop a dance performance.

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Story Scenes

Combine Qwen image edits with Wan video generation to develop related visual scenes.

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Video Restyling

Reinterpret existing footage in a new visual style with a dedicated Ditto pipeline.

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Frequently asked questions

WAN in ComfyUI: FAQ

Choose a Wan model and input type, understand Animate, S2V, and VACE options, and check what you need for cloud or local use.

What WAN ComfyUI workflow should I start with?

Use a Wan 2.2 generation example for a new video from text or an image. For an existing performance or clip, choose an animation, replacement, or video-editing setup instead. Start with the input you already have rather than choosing the most complex workflow.

Should I use Wan 2.2 or Wan 2.1?

Wan 2.2 is a starting point for general generation and several newer animation setups. Wan 2.1 remains the base for specialized examples such as VACE editing and some talking-avatar pipelines. Choose the demonstrated result and its listed version; supporting files and add-ons are not universally interchangeable.

Can Wan 2.2 make lip-sync or speech-to-video?

Yes. Dedicated S2V setups use an image and audio for speech-driven performance. Other lip-sync examples transfer a performance from reference footage. Check whether the selected setup expects speech, a driving video, or both; basic image-to-video does not provide the same control.

What is Wan Animate used for?

Wan Animate setups guide character animation or replacement using reference inputs. The character swap and lip-sync example is one specific performance-transfer option. Follow the input requirements of the example rather than assuming every Animate version uses the same controls.

What is VACE in a WAN ComfyUI workflow?

VACE provides guided video creation and editing options within the Wan ecosystem. Use the VACE video-editing example when the task involves transforming or controlling footage. Its detail page explains the supported inputs and edit modes.

How do I keep a character consistent in WAN videos?

Use a setup designed around references, character replacement, or a compatible LoRA. Consistency can still drift across shots, so inspect the face, outfit, and scene details rather than assuming a shared model guarantees a perfect match. Story pipelines may combine image editing and video generation.

How much VRAM do I need for Wan 2.2 in ComfyUI?

Memory needs depend on the model format, video resolution, frame count, and additional controls. Check the selected example's requirements instead of using one VRAM estimate for every Wan 2.2 setup. Run it on a suitable cloud GPU, or download the JSON and prepare those dependencies locally.

Related resources

More ways to use WAN

Train a WAN LoRA with a supported Wan 2.1 or Wan 2.2 base model, or open a matching RunComfy Models page for direct generation.

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