Model Marketplace

Wan-T2V

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Overview

The upgraded Wan 2.2 Plus text to video model, delivers higher quality results with stable sweeping complex movements, cinematic vision control, more powerful prompt following, and realistic world recreation.

Input

Text

Output

Video

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(480P)
    $0.02Per second
  • Video Generation(1080P)
    $0.1Per second

Rate Limits

  • Concurrency
    2concurrent
  • Async Queue Limit
    500tasks
  • RPMRequests Per Minute
    120

API Reference

Call API
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from http import HTTPStatus
from dashscope import VideoSynthesis
import dashscope

dashscope.base_http_api_url = 'https://maas.qwencloudapi.com/api/v1'
def sample_sync_call_t2v():
    # call sync api, will return the result
    print('please wait...')
    rsp = VideoSynthesis.call(model='wan2.2-t2v-plus',
                              prompt='A kitten running in the moonlight',
                              size='1280*720')
    print(rsp)
    if rsp.status_code == HTTPStatus.OK:
        print(rsp.output.video_url)
    else:
        print('Failed, status_code: %s, code: %s, message: %s' %
              (rsp.status_code, rsp.code, rsp.message))


if __name__ == '__main__':
    sample_sync_call_t2v()