> ## Documentation Index
> Fetch the complete documentation index at: https://docs.apimart.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# HappyHorse 1.1 视频生成

>  - 阿里云百炼 HappyHorse 1.1 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）
- 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 

```bash cURL theme={null}
curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "happyhorse-1.1",
    "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 Python theme={null}
import requests

url = "https://api.apimart.ai/v1/videos/generations"

payload = {
    "model": "happyhorse-1.1",
    "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 <token>",
    "Content-Type": "application/json"
}

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

print(response.json())
```

```javascript JavaScript theme={null}
const url = "https://api.apimart.ai/v1/videos/generations";

const payload = {
  model: "happyhorse-1.1",
  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 <token>",
  "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 Go theme={null}
package main

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

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

    payload := map[string]interface{}{
        "model":      "happyhorse-1.1",
        "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 Java theme={null}
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.apimart.ai/v1/videos/generations";

        String payload = """
        {
          "model": "happyhorse-1.1",
          "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 PHP theme={null}
<?php

$url = "https://api.apimart.ai/v1/videos/generations";

$payload = [
    "model" => "happyhorse-1.1",
    "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 <token>",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>
```

```ruby Ruby theme={null}
require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.apimart.ai/v1/videos/generations")

payload = {
  model: "happyhorse-1.1",
  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 <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json

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

```swift Swift theme={null}
import Foundation

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

let payload: [String: Any] = [
    "model": "happyhorse-1.1",
    "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 <token>", 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 C# theme={null}
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.apimart.ai/v1/videos/generations";

        var payload = @"{
            ""model"": ""happyhorse-1.1"",
            ""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);
    }
}
```

```json 200 theme={null}
{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
    }
  ]
}
```

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

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

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

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

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

## 认证

**Authorization** `string` *required*

所有接口均需要使用 Bearer Token 进行认证

获取 API Key：

访问 [API Key 管理页面](https://apimart.ai/keys) 获取您的 API Key

使用时在请求头中添加：

```
Authorization: Bearer YOUR_API_KEY
```

## 模式路由

`happyhorse-1.1` 是文生视频 / 图生视频 / 参考图生视频的统一入口，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）**：

| 你传的字段 | 路由到 | 模式说明 |
| - | - | - |
| 仅 `prompt` | 文生视频（T2V） | 纯文字描述生成视频 |
| `prompt` + `first_frame_image` | 图生视频（I2V） | 以图为首帧动起来 |
| `prompt` + `image_urls`（1\~9 张） | 参考图生视频（R2V） | 一组参考图生成全新画面 |

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

**字段互斥规则**：两个媒体字段（`first_frame_image` / `image_urls`）**互斥**。同时传两个互斥字段会返回 400 `mixed_media_not_allowed`。

## 请求参数

**model** `string` *required*

视频生成模型名称，固定为 `happyhorse-1.1`

**nsfw\_check** `boolean` (default: false)

是否在提交视频任务前执行内容审核。

* `true`：使用 `omni-moderation-latest` 审核提示词和输入图片
* `false` 或不传：不发起审核请求，不增加审核成本与延迟（默认）

**prompt** `string`

视频内容描述，最多 2500 字符，不能包含特殊 token

示例：`"一个小女孩走在路上，电影感画面"`

**first\_frame\_image** `string`

首帧图片，触发 **I2V**（图生视频）。支持 URL 或 base64（`data:image/<mime>;base64,<payload>`，网关自动转储到 OSS）

与 `image_urls` 互斥

> [!NOTE]
>
> **首帧图片要求：**
>
> * 格式：JPEG / JPG / PNG / BMP / WEBP
> * 短边像素：≥ 300px
> * 宽高比：`1:2.5 ~ 2.5:1`
> * 大小：≤ 10MB

**image\_urls** `array\<string\>`

图片数组（**R2V 模式**）：1\~9 张，作为主体/风格参考生成全新画面

支持 URL 或 base64

与 `first_frame_image` 互斥

> [!NOTE]
>
> **参考图要求：**
>
> * 格式：JPEG / JPG / PNG / BMP / WEBP
> * 短边像素：推荐 ≥ 720p
> * 宽高比：短边 / 长边 ≥ 0.4
> * 大小：≤ 10MB
> * 数量：1\~9 张

**resolution** `string` (default: 1080P)

视频分辨率（影响计费）

可选值：

* `720P` - 标清
* `1080P` - 高清（默认）

**duration** `integer` (default: 5)

视频时长（秒，影响计费）

支持范围：`3` \~ `15` 的任意整数

默认值：`5`

**size** `string` (default: 16:9)

画面宽高比

支持的格式：

* `16:9` - 横版宽屏（默认）
* `9:16` - 竖版长屏
* `1:1` - 正方形
* `4:3` - 横版
* `3:4` - 竖版

> [!WARNING]
>
> **I2V 模式下此参数会被忽略**，输出宽高比由输入媒体（首帧图）自动决定

**watermark** `boolean` (default: false)

是否在生成的视频上添加水印

* `true`：添加水印
* `false`：不添加水印（默认）

**seed** `integer`

随机种子，用于控制生成内容的随机性

取值范围：`[0, 2147483647]`，省略则随机

> [!NOTE]
>
> * 相同的请求下，模型收到不同的 seed 值（如：不指定 seed 值），将生成不同的结果
> * 相同的请求下，模型收到相同的 seed 值，会生成类似的结果，但不保证完全一致

## 响应

**code** `integer`

响应状态码，成功时为 200

**data** `array`

返回数据数组

**数组元素**

**status** `string`

任务状态，初始提交时为 `submitted`

**task\_id** `string`

任务唯一标识符，用于查询任务状态和结果

## 使用场景

### 场景 1：文生视频 T2V（最简请求）

```json theme={null}
{
  "model": "happyhorse-1.1",
  "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）

```json theme={null}
{
  "model": "happyhorse-1.1",
  "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）

```json theme={null}
{
  "model": "happyhorse-1.1",
  "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）

```json theme={null}
{
  "model": "happyhorse-1.1",
  "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 5：720P 节省额度

```json theme={null}
{
  "model": "happyhorse-1.1",
  "prompt": "海浪拍打沙滩，日落时分",
  "resolution": "720P",
  "size": "16:9",
  "duration": 5
}
```

## 模式选择建议

| 需求 | 推荐方式 |
| - | - |
| 纯文字描述生成视频 | 仅传 `prompt`（T2V） |
| 让图片"动起来"（以图为首帧） | 传 `first_frame_image`（I2V） |
| 用一组参考图生成全新画面 | 传 `image_urls`（1\~9 张，R2V） |
| 节省额度 | 指定 `resolution: "720P"` |

## 使用建议

1. **统一入口逻辑**：根据传入字段自动路由模式，注意两个媒体字段（`first_frame_image` / `image_urls`）互斥
2. **size 仅 T2V/R2V 生效**：I2V 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

> [!NOTE]
>
> **查询任务结果**
>
> 视频生成为异步任务，提交后会返回 `task_id`。使用 [获取任务状态](https://docs.apimart.ai/cn/api-reference/tasks/status.md) 接口查询生成进度和结果。


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