Run WAN 2.1 on Azure for High Performance Video Generation

Alibaba's Wan 2.1 makes use of Microsoft Azure's GPU virtual machines (VMs) for video production pipelines. This guide describes how it will be deployed on Azure, with an eye towards developers and businesses around the world.

• Azure Account: With VM access.
• Hardware: NCasT4_v3 (NVIDIA T4, 16GB VRAM).

Step 1: Create VM

• Image: Ubuntu 20.04.
• Size: NCasT4_v3.
• Storage: 50GB.

Step 2: Connect

SSH:

ssh -i <key.pem> azureuser@<vm-ip>

Step 3: Install and Download

Setup:

sudo apt update && sudo apt install -y python3-pip git
git clone https://github.com/Wan-Video/Wan2.1.git
cd Wan2.1
huggingface-cli download Wan-AI/Wan2.1-T2V-14B --local-dir ./models
pip3 install -r requirements.txt

Step 4: Run

Generate:

python3 inference.py --model_path ./models/Wan2.1-T2V-14B --prompt "A flying drone" --output drone.mp4

• Instance: NCasT4_v3
• VRAM: 16GB
• Cost/Hour: $0.918

As of March 2025, using Wan 2.1 on Azure's NCasT4_v3 VM provides an affordable video pipeline. This configuration, which combines Wan 2.1's open-source capabilities with Azure's scalability, is appropriate for creators and businesses.

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