Quick Start

Start Generating in Minutes

Whether you prefer our hosted platform or self-hosting, getting started with Wan 2.7 is quick and easy.

Using Our Platform

01

Sign Up

Create a free account. No credit card required to start. Get 20 free generation credits.

02

Choose Task

Select from Text-to-Video, Image-to-Video, Portrait Edit, or Sequential Images.

03

Enter Prompt

Describe your vision. Our AI enhances your prompt automatically for best results.

04

Generate & Download

Wait seconds to minutes depending on resolution. Download your creation in full quality.

Or via API

Integrate Wan 2.7 generation directly into your product:

generate.ts
// Dashscope API Example
const response = await fetch('https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'wan2.7-t2v-turbo',
    input: {
      prompt: 'A cat playing piano in a cozy jazz bar, cinematic lighting',
    },
    parameters: {
      size: '1280*720',
      duration: 5,
    },
  }),
});

☁️ Alibaba Dashscope

Official cloud API — enterprises and production use.

Get API Key →

⚡ fal.ai

Serverless inference, pay-per-use, great for startups.

View Models →

Self-Host Wan 2.7

bash
# Clone the repository
git clone https://github.com/Wan-Video/Wan2.1.git
cd Wan2.1

# Install dependencies (requires Python >= 3.8, torch >= 2.4.0)
pip install -r requirements.txt

# Download the 1.3B model (requires ~8GB VRAM)
pip install "huggingface_hub[cli]"
huggingface-cli download Wan-AI/Wan2.1-T2V-1.3B --local-dir ./Wan-T2V-1.3B

# Generate your first video
python generate.py \
  --task t2v-1.3B \
  --size 832*480 \
  --ckpt_dir ./Wan-T2V-1.3B \
  --offload_model True \
  --t5_cpu \
  --prompt "A majestic eagle soaring over snow mountains at sunset"