HappyHorse-T2V

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Overview

HappyHorse-1.0-T2V supports text-to-video generation, featuring highly realistic dynamic rendering. It accurately comprehends text semantics to produce high-quality videos that are fluid, natural, and rich in detail.

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(720P)20% off
    $0.14$0.112
    Per second
  • Video Generation(1080P)20% off
    $0.24$0.192
    Per 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": "happyhorse-1.0-t2v",
    "input": {
        "prompt": "A miniature city built from cardboard and bottle caps comes alive at night. A cardboard train rolls slowly by, dotted with tiny lights that illuminate the path ahead."
    },
    "parameters": {
        "resolution": "720P",
        "ratio": "16:9",
        "duration": 5
    }
}'