HappyHorse 1.0 视频生成

• 阿里云百炼 HappyHorse 1.0 视频生成模型（统一入口，单模型自动路由）
• 根据传入字段自动路由：T2V（仅 prompt）/ I2V（first_frame_image）/ R2V（image_urls）/ EDIT（video_url）
• 支持 720P/1080P 分辨率，3-15 秒任意整数时长
• 仅按分辨率 × 视频秒数计费，与具体能力无关

请求示例

bash curl --request POST \ --url https://api.openveer.com/v1/videos/generations \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "happyhorse-1.0", "prompt": "一个小女孩走在路上，电影感画面", "resolution": "1080P", "size": "16:9", "duration": 5, "seed": 42 }'

```python
import requests

url = "https://api.openveer.com/v1/videos/generations"

payload = {
"model": "happyhorse-1.0",
"prompt": "一个小女孩走在路上，电影感画面",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}

headers = {
"Authorization": "Bearer ",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
```

```javascript
const url = "https://api.openveer.com/v1/videos/generations";

const payload = {
model: "happyhorse-1.0",
prompt: "一个小女孩走在路上，电影感画面",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
};

const headers = {
"Authorization": "Bearer ",
"Content-Type": "application/json"
};

fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
```

```go
package main

import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)

func main() {
url := "https://api.openveer.com/v1/videos/generations"

  payload := map[string]interface{}{
      "model":      "happyhorse-1.0",
      "prompt":     "一个小女孩走在路上，电影感画面",
      "resolution": "1080P",
      "size":       "16:9",
      "duration":   5,
      "seed":       42,
  }

  jsonData, _ := json.Marshal(payload)

  req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
  req.Header.Set("Authorization", "Bearer <token>")
  req.Header.Set("Content-Type", "application/json")

  client := &http.Client{}
  resp, err := client.Do(req)
  if err != nil {
      panic(err)
  }
  defer resp.Body.Close()

  body, _ := ioutil.ReadAll(resp.Body)
  fmt.Println(string(body))

}
```

```java
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;

public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.openveer.com/v1/videos/generations";

      String payload = """
      {
        "model": "happyhorse-1.0",
        "prompt": "一个小女孩走在路上，电影感画面",
        "resolution": "1080P",
        "size": "16:9",
        "duration": 5,
        "seed": 42
      }
      """;

      HttpClient client = HttpClient.newHttpClient();
      HttpRequest request = HttpRequest.newBuilder()
          .uri(URI.create(url))
          .header("Authorization", "Bearer <token>")
          .header("Content-Type", "application/json")
          .POST(HttpRequest.BodyPublishers.ofString(payload))
          .build();

      HttpResponse<String> response = client.send(request,
          HttpResponse.BodyHandlers.ofString());

      System.out.println(response.body());
  }

}
```

```php
"happyhorse-1.0", "prompt" => "一个小女孩走在路上，电影感画面", "resolution" => "1080P", "size" => "16:9", "duration" => 5, "seed" => 42 ]; $ch = curl_init($url); curl_setopt($ch, CURLOPT_RETURNTRANSFER, true); curl_setopt($ch, CURLOPT_POST, true); curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload)); curl_setopt($ch, CURLOPT_HTTPHEADER, [ "Authorization: Bearer ", "Content-Type: application/json" ]); $response = curl_exec($ch); curl_close($ch); echo $response; ?>

```

```ruby
require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.openveer.com/v1/videos/generations")

payload = {
model: "happyhorse-1.0",
prompt: "一个小女孩走在路上，电影感画面",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
}

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer "
request["Content-Type"] = "application/json"
request.body = payload.to_json

response = http.request(request)
puts response.body
```

```swift
import Foundation

let url = URL(string: "https://api.openveer.com/v1/videos/generations")!

let payload: [String: Any] = [
"model": "happyhorse-1.0",
"prompt": "一个小女孩走在路上，电影感画面",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer ", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: (error)")
return
}

  if let data = data, let responseString = String(data: data, encoding: .utf8) {
      print(responseString)
  }

}

task.resume()
```

```csharp
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
static async Task Main(string[] args)
{
var url = "https://api.openveer.com/v1/videos/generations";

      var payload = @"{
          ""model"": ""happyhorse-1.0"",
          ""prompt"": ""一个小女孩走在路上，电影感画面"",
          ""resolution"": ""1080P"",
          ""size"": ""16:9"",
          ""duration"": 5,
          ""seed"": 42
      }";

      using var client = new HttpClient();
      client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

      var content = new StringContent(payload, Encoding.UTF8, "application/json");
      var response = await client.PostAsync(url, content);
      var result = await response.Content.ReadAsStringAsync();

      Console.WriteLine(result);
  }

}
```

响应示例

json { "code": 200, "data": [ { "status": "submitted", "task_id": "task_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ" } ] }

json { "error": { "code": 400, "message": "请求参数无效", "type": "invalid_request_error" } }

json { "error": { "code": 401, "message": "身份验证失败，请检查您的API密钥", "type": "authentication_error" } }

json { "error": { "code": 402, "message": "账户余额不足，请充值后再试", "type": "payment_required" } }

json { "error": { "code": 429, "message": "请求过于频繁，请稍后再试", "type": "rate_limit_error" } }

json { "error": { "code": 500, "message": "服务器内部错误，请稍后重试", "type": "server_error" } }

认证

模式路由

happyhorse-1.0 是文生视频 / 图生视频 / 参考图生视频 / 视频编辑的统一入口，后端根据传入参数自动判断模式，所有模式按统一规则计费（仅按分辨率 × 秒）：

路由优先级（从高到低）：video_url > first_frame_image > image_urls > 仅 prompt。

字段互斥规则：三个媒体字段（first_frame_image / image_urls / video_url）两两互斥，唯一例外是 video_url + image_urls（EDIT 模式 + 参考图）是合法组合。同时传两个互斥字段会返回 400 mixed_media_not_allowed。

请求参数

响应

使用场景

场景 1：文生视频 T2V（最简请求）

{
  "model": "happyhorse-1.0",
  "prompt": "一个小女孩走在路上，电影感画面"
}

场景 2：文生视频 T2V（完整参数）

{
  "model": "happyhorse-1.0",
  "prompt": "夕阳下的海边公路，慢镜头推进，电影感画面",
  "resolution": "1080P",
  "size": "16:9",
  "duration": 8,
  "seed": 42
}

场景 3：图生视频 I2V（first_frame_image）

{
  "model": "happyhorse-1.0",
  "prompt": "让图片中的场景动起来",
  "first_frame_image": "https://example.com/first_frame.png",
  "resolution": "1080P",
  "duration": 5
}

场景 4：参考图生视频 R2V（多张参考图）

{
  "model": "happyhorse-1.0",
  "prompt": "图1中的主角在图2的场景中奔跑，随后拿起图3中的道具。画面保持3D卡通风格，动作流畅。",
  "image_urls": [
    "https://example.com/img_01.jpg",
    "https://example.com/img_02.png",
    "https://example.com/img_03.jpeg"
  ],
  "resolution": "1080P",
  "size": "16:9",
  "duration": 5
}

场景 5：视频编辑 EDIT（保留原音轨 + 风格参考）

{
  "model": "happyhorse-1.0",
  "prompt": "把视频中的角色换成卡通风格，保留原有动作",
  "video_url": "https://example.com/source.mp4",
  "image_urls": [
    "https://example.com/style_ref.jpg"
  ],
  "resolution": "1080P",
  "audio_setting": "origin",
  "seed": 42
}

场景 6：720P 节省额度

{
  "model": "happyhorse-1.0",
  "prompt": "海浪拍打沙滩，日落时分",
  "resolution": "720P",
  "size": "16:9",
  "duration": 5
}

模式选择建议

使用建议

1. 统一入口逻辑：根据传入字段自动路由模式，注意三个媒体字段（first_frame_image / image_urls / video_url）两两互斥
2. size 仅 T2V/R2V 生效：I2V / EDIT 模式下 size 会被忽略，输出宽高比由输入媒体决定
3. 时长建议：5\~10 秒为甜点区，过短动作不连贯，过长上游耗时显著增加
4. 首帧图片质量：清晰、构图明确、主体居中，能显著提升 I2V 效果
5. prompt 写作：描述运动 / 镜头 / 氛围（如 "缓慢推近、电影感、暖色调"），比单纯描述静态场景效果更好
6. EDIT 输入视频：> 15 秒会被上游自动从 0 秒截取到 15 秒，需要其他片段请先自行切片