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Open Source
Text to Video
Image to Video
ComfyUI

Wan 2.2: Alibaba's Open-Source Video Model (ComfyUI & Local)

Alibaba’s open-weight video family, with two model sizes and mature ComfyUI support.

Last updated 2025-12-12·6 min read·By Editorial Team

Quick answer

Wan 2.2 is Alibaba's open-weight video generation family, published under the Wan-AI organization on HuggingFace.

It is popular in ComfyUI because it offers multiple model sizes and workflows, including text-to-video and image-to-video variants.

The model weights are free to download and self-host, but your real cost is GPU hardware/cloud compute; hosted Wan services may have separate pricing.

Run locally

Open weights with ComfyUI/community workflows.

Local setup

Download weights

Official model cards under Wan-AI on HuggingFace.

HuggingFace

Hosted providers

Use third-party hosts if you do not want to manage GPUs.

Cost paths

01Wan2.2 TI2V 5B vs I2V A14B

Wan gives you a size choice: TI2V-5B for cheap experiments, I2V-A14B when image-guided quality matters more than speed.

Wan2.2 TI2V-5BWan2.2 I2V-A14B
PositioningSmaller text/image-to-video modelLarger image-to-video model
WeightsOpen · HuggingFaceOpen · HuggingFace
Model fee$0$0
Best forLower compute testsHigher-quality I2V workflows

02Generation modes

Wan’s draw is that you can run it yourself and rewire the workflow.

Text to Video

T2V

Generate short clips from prompts with open-weight local workflows.

text → video

Image to Video

I2V

Animate an input image while steering motion with a prompt.

image + prompt → video

ComfyUI workflows

ComfyUI

Community nodes and workflows make it practical for local experimentation.

workflow + weights → video

03Run locally

Wan 2.2 is an open-weight local option. Budget depends on model size, resolution, frame count and quantization; HuggingFace GPU examples start at $0.40/hour.

VRAM by GPU

SetupConcrete costBest forNotes
Local GPU$0 model fee + your hardwarePrivate/offline generationConsumer GPUs may need quantized workflows
Cloud GPUHF examples: T4 $0.40/hr, L4 $0.80/hr, A10G $1.00/hrOccasional heavy jobsCheaper than buying hardware for low volume
Hosted GPUHF Spaces CPU free; GPU from $0.40/hrNo setupUse HuggingFace or another GPU host

04Official pricing & registration

Wan 2.2 has no per-video model fee because the weights are open. To make the price concrete, use compute pricing: HuggingFace Spaces lists CPU Basic as free, Nvidia T4 small at $0.40/hour, Nvidia L4 at $0.80/hour and Nvidia A10G small at $1.00/hour.

Path / hardwareOfficial priceWhat you getSource
RegisterFree accountDownload/access model repositoriesOfficial source ↗
Model weights$0 model feeWan-AI/Wan2.2-TI2V-5B and Wan2.2-I2V-A14BHuggingFace model card
HF Spaces CPU BasicFREE2 vCPU / 16 GB CPU SpaceOfficial source ↗
HF Spaces Nvidia T4 small$0.40/hour16 GB VRAM GPU SpaceOfficial source ↗
HF Spaces Nvidia L4$0.80/hour24 GB VRAM GPU SpaceOfficial source ↗
HF Spaces Nvidia A10G small$1.00/hour24 GB VRAM GPU SpaceOfficial source ↗

05How to prompt

Formula: Subject + Starting frame + Motion + Camera + Lighting + Style
Example:
A mountain cabin at blue hour, warm window light flickering, snow drifting slowly across the foreground, gentle dolly-in, quiet cinematic realism
Open Wan model card

06vs the competition

WanWan 2.2
vs
H3Hailuo 3 / H3

Short version: Wan 2.2 is a strong open local alternative with multiple model sizes. Hailuo 3 / H3 is stronger when REF2VA and first/last-frame control are your main use case.

Read full comparison →

07FAQ

Is Wan 2.2 open source?

Yes — Wan 2.2 weights are public on HuggingFace under the Wan-AI organization.

Can Wan 2.2 run locally?

Yes — it runs in ComfyUI and related tooling. VRAM depends on which size you run and how you quantize it; the model cards have current figures.

How much does Wan 2.2 cost?

The open weights are free to download and run yourself. The cost is GPU hardware, cloud GPU rental, or any third-party hosted provider you choose.

Where do I register for Wan 2.2?

For open-weight downloads, create a HuggingFace account at https://huggingface.co/join and use the Wan-AI model pages. Hosted Wan portals may have separate registration.

08Sources

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