Wan - Image to Video

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Overview

Wan2.6 image to video flash, faster and more cost-effective generation. Intelligent shot scheduling enables multi‑camera storytelling, supports stable multi‑speaker dialogue with more natural and realistic vocal timbres, and supports generation of clips up to 15 seconds in length.

Input

ImageAudioText

Output

VideoAudio

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • Video Generation(720P)
    $0.05Per second
  • Video Generation(1080P)
    $0.075Per second
  • Video Generation(720P no audio)
    $0.025Per second
  • Video Generation(1080P no audio)
    $0.0375Per second

Rate Limits

  • Concurrency
    5concurrent
  • Async Queue Limit
    500tasks
  • RPMRequests Per Minute
    300

API Reference

Call API
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curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis' \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
     "model": "wan2.6-i2v",
    "input": {
        "prompt": "A scene of urban fantasy art. A dynamic graffiti art character. A boy painted with spray paint comes to life from a concrete wall. He sings an English rap song at a very fast pace while striking a classic, energetic rapper pose. The scene is set under an urban railway bridge at night. The lighting comes from a single streetlight, creating a cinematic atmosphere full of high energy and amazing detail. The audio of the video consists entirely of his rap, with no other dialogue or noise.",
        "img_url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/wpimhv/rap.png"
    },
    "parameters": {
        "resolution": "720P",
        "prompt_extend": true,
        "duration": 10,
        "audio": true,
        "shot_type":"multi"
    }
}'