文档

SkyReels V4 视频生成

- 提供 Fast(速度优先)和 Std(质量优先)两档模型

  • 提供 Fast(速度优先)和 Std(质量优先)两档模型
  • 支持文生视频(T2V)、图生视频(I2V)、多模态参考(Omni)三种模式,由传参自动路由
  • 支持 480p / 720p / 1080p 分辨率,3 ~ 15 秒时长
  • 支持首帧/尾帧/关键帧、参考图、参考视频、拼贴图、视频扩展、声纹同步等高阶能力
  • 异步处理模式,返回任务 ID 用于后续查询

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": "skyreels-v4-fast", "prompt": "A serene forest at sunset with golden light filtering through the trees.", "duration": 5, "resolution": "1080p", "aspect_ratio": "16:9", "prompt_optimizer": true }'

```python
import requests

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

payload = {
"model": "skyreels-v4-fast",
"prompt": "A serene forest at sunset with golden light filtering through the trees.",
"duration": 5,
"resolution": "1080p",
"aspect_ratio": "16:9",
"prompt_optimizer": True
}

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: "skyreels-v4-fast",
prompt: "A serene forest at sunset with golden light filtering through the trees.",
duration: 5,
resolution: "1080p",
aspect_ratio: "16:9",
prompt_optimizer: true
};

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":            "skyreels-v4-fast",
      "prompt":           "A serene forest at sunset with golden light filtering through the trees.",
      "duration":         5,
      "resolution":       "1080p",
      "aspect_ratio":     "16:9",
      "prompt_optimizer": true,
  }

  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": "skyreels-v4-fast",
        "prompt": "A serene forest at sunset with golden light filtering through the trees.",
        "duration": 5,
        "resolution": "1080p",
        "aspect_ratio": "16:9",
        "prompt_optimizer": true
      }
      """;

      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
"skyreels-v4-fast", "prompt" => "A serene forest at sunset with golden light filtering through the trees.", "duration" => 5, "resolution" => "1080p", "aspect_ratio" => "16:9", "prompt_optimizer" => true ]; $ch = curl_init($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: "skyreels-v4-fast",
prompt: "A serene forest at sunset with golden light filtering through the trees.",
duration: 5,
resolution: "1080p",
aspect_ratio: "16:9",
prompt_optimizer: true
}

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": "skyreels-v4-fast",
"prompt": "A serene forest at sunset with golden light filtering through the trees.",
"duration": 5,
"resolution": "1080p",
"aspect_ratio": "16:9",
"prompt_optimizer": true
]

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"": ""skyreels-v4-fast"",
          ""prompt"": ""A serene forest at sunset with golden light filtering through the trees."",
          ""duration"": 5,
          ""resolution"": ""1080p"",
          ""aspect_ratio"": ""16:9"",
          ""prompt_optimizer"": true
      }";

      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_01KPEY5H3NQ2W8D7T6VB3F9GR4" } ] }

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": 422, "message": "参数互斥或取值非法(例如同时传入 I2V 与 Omni 字段)", "type": "invalid_request_error" } }

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

Authorization string
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://openveer.com) 获取您的 API Key 使用时在请求头中添加: ``` Authorization: Bearer YOUR_API_KEY ```

生成模式

SkyReels V4 通过请求字段自动路由到对应模式,无需指定 mode 字段

模式 触发条件 能力
T2V(文生视频) 只传 prompt 及通用字段 纯文本驱动生成
I2V(图生视频) 传入 first_frame_image / end_frame_image / mid_frame_images 任一 首帧、尾帧、关键帧控制
Omni(多模态参考) 传入 ref_images / ref_videos 任一 主体参考、拼贴图、动作参考、视频扩展、声纹同步
警告
**严格互斥**:I2V 字段(`first_frame_image` / `end_frame_image` / `mid_frame_images`)与 Omni 字段(`ref_images` / `ref_videos`)不能同时出现,否则返回 422。
注意
**`@tag` 机制**:当使用 `mid_frame_images` / `ref_images` / `ref_videos` 时,每个元素需声明一个以 `@` 开头的 `tag`(如 `@image1`、`@Actor-1`、`@video1`),并且 `tag` **必须出现在 `prompt` 中**。 可以把 `prompt` 理解为"剧本",`tag` 则是指向具体素材(图片 / 视频)的"角色指针"—— 例如 prompt 写 `"@Actor-1 走进 @video1 的场景"`,系统据此将 `@Actor-1` 对应的参考图主体和 `@video1` 对应的动作参考注入到生成过程。

请求参数

通用字段

model string
支持以下两个档位: | 模型 | 定位 | 适用场景 | | ------------------ | ------------------------ | --------------- | | `skyreels-v4-fast` | 速度优先 | 快速预览、批量生成、日常内容 | | `skyreels-v4-std` | 质量优先(价格较 Fast 高 25\~30%) | 关键画面、细节要求高、正式交付 |
警告
**必须显式传递 `model` 字段,无默认值。**
提示
**计费与分辨率、是否使用 `ref_videos` 强相关**:1080p 价格显著高于 480p / 720p;传入 `ref_videos`(带视频输入)的档位约为无视频输入的 1.5 \~ 2 倍。暂不支持音频和视频同时输出。
prompt string
文本提示词,最长 **1280 tokens** 建议详细描述场景、主体、动作、风格等,以获得更好的生成效果。 使用 `ref_images` / `ref_videos` / `mid_frame_images` 时,`prompt` 中**必须包含** 对应的 `@tag`(如 `@Actor-1`、`@video1`、`@image1`)。 示例:`"@Actor-1 walks through a neon-lit street at night."`
duration integer
输出视频时长(秒) * 取值范围:`[3, 15]` * 默认值:`5`
警告
当传入 `ref_videos.type=reference` 时,`duration` 会被参考视频长度覆盖(上限 10 秒)。
resolution string
视频分辨率 可选值: * `480p` * `720p` * `1080p`(默认)
aspect_ratio string
宽高比 可选值: * `16:9`(默认) * `4:3` * `1:1` * `9:16` * `3:4`
警告
**I2V 模式下 `aspect_ratio` 会被忽略**(输出比例由输入图决定);Omni 带 `ref_videos` 时同样忽略。
prompt_optimizer boolean
是否自动优化 prompt 启用后,系统会自动优化您的提示词以获得更好的生成效果。

I2V 专用字段

first_frame_image string
视频起始帧图片 URL(jpg / jpeg / png / gif / bmp) 传入后将以该图片作为视频的**起始画面**。
end_frame_image string
视频结束帧图片 URL(jpg / jpeg / png / gif / bmp) 传入后将以该图片作为视频的**结束画面**,可与 `first_frame_image` 组合实现首尾帧控制。
mid_frame_images object[]
中间关键帧列表,最多 **6 个**。每个元素结构如下: 以 `@` 开头,且必须出现在 `prompt` 中,如 `@image1` 图片 URL(jpg / jpeg / png / gif / bmp) 出现时间戳(秒)。默认 `-1`(不指定);指定时必须满足 `0 < time_stamp < duration`。

Omni 专用字段

ref_images object[]
参考图列表(所有元素 `type` 必须一致)。每个元素结构如下: 以 `@` 开头,且必须出现在 `prompt` 中,如 `@Actor-1` 参考类型: * `image` - 常规参考图(列表长度 1~~3;每项 `image_urls` 长度 1~~5) * `grid` - 拼贴图,即多张图合并为一张的网格图(如 4 宫格、9 宫格);列表长度必须 = 1,`image_urls` 必须 1 张 图片 URL 数组 声纹音频 URL(**仅 `type=image` 支持**,音频时长 ≤ 15 秒)
ref_videos object[]
参考视频列表,**最多 1 个**。每个元素结构如下: 以 `@` 开头,且必须出现在 `prompt` 中,如 `@video1` 参考类型: * `reference` - 动作/主体参考,**会覆盖 `duration`**(跟随参考视频长度,最长 10 秒),默认带入输入视频音频;**可与 `ref_images.type=image` 组合** * `extend` - 视频扩展,按请求 `duration` 计费;**不能与 `ref_images` 组合** 视频 URL(MP4 / MOV,时长 ≤ 15 秒)

支持的生成场景

以下场景 skyreels-v4-fastskyreels-v4-std 均支持

场景 模式 必填参数 典型用例
文生视频 T2V prompt 纯文本描述驱动,快速生成概念镜头
图生视频 - 首帧 I2V first_frame_image 静图转视频,指定起始画面
图生视频 - 尾帧 I2V end_frame_image 指定视频收束画面
图生视频 - 关键帧 I2V mid_frame_images(1 \~ 6) 首 + 尾 + 中间关键帧,精准控制分镜节奏
Omni 单/多主体参考 Omni ref_imagestype=image 角色一致性、多主体同框
Omni 拼贴图 Omni ref_imagestype=grid,1 张) 分步流程视频(教程、菜谱、操作示范)
Omni 动作参考 Omni ref_videostype=reference 复刻参考视频的动作、主体或风格
Omni 视频扩展 Omni ref_videostype=extend 从已有视频续写后续剧情
Omni 声纹同步 Omni ref_imagestype=image)+ audio_url 数字人口播、音频驱动对口型

参数约束

以下约束违反时请求将被拒绝并返回 422,且 不产生计费

参数 约束
prompt 最长 1280 tokens
duration [3, 15] 秒;带 ref_videos.type=reference 时被参考视频长度覆盖(上限 10 秒)
resolution 480p / 720p / 1080p
aspect_ratio 16:9 / 4:3 / 1:1 / 9:16 / 3:4;I2V 忽略;Omni 带 ref_videos 时忽略
mid_frame_images 最多 6 个;time_stamp 必须为 -1 或落在 (0, duration) 区间
ref_images 整体 列表内 type 必须一致;不能与 I2V 字段同时出现
ref_images.type=grid 列表长度必须 = 1;image_urls 必须为 1 张
ref_images.type=image 列表长度 1 \~ 3;每项 image_urls 长度 1 \~ 5
ref_images.audio_url type=image 支持,音频 ≤ 15 秒
ref_videos 最多 1 个;video_url MP4 / MOV,≤ 15 秒
ref_videos.type=reference 覆盖请求 duration(最长 10 秒),可与 ref_images.type=image 组合,默认带入输入视频音频
ref_videos.type=extend 按请求 duration 计费;不能与 ref_images 组合
tag 字段 必须以 @ 开头且出现在 prompt
I2V / Omni 互斥 I2V 字段与 Omni 字段不能同时出现

响应

code integer
响应状态码,成功时为 200
data array
返回数据数组 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

请求示例

场景 1:文生视频(最简)

{
  "model": "skyreels-v4-fast",
  "prompt": "A serene forest at sunset with golden light filtering through the trees."
}

场景 2:文生视频(完整参数)

{
  "model": "skyreels-v4-std",
  "prompt": "A serene forest at sunset.",
  "duration": 5,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "prompt_optimizer": true
}

场景 3:图生视频 - 首帧

{
  "model": "skyreels-v4-fast",
  "prompt": "Slowly pull the camera back to reveal the entire scene.",
  "first_frame_image": "https://example.com/start.png",
  "duration": 5
}

场景 4:图生视频 - 首尾帧 + 中间关键帧

{
  "model": "skyreels-v4-std",
  "prompt": "The King summons a flying dragon. @image1 The dragon lowers. The King mounts and flies away.",
  "duration": 8,
  "resolution": "1080p",
  "first_frame_image": "https://example.com/k2v_0.png",
  "end_frame_image":   "https://example.com/k2v_2.png",
  "mid_frame_images": [
    { "tag": "@image1", "image_url": "https://example.com/k2v_1.png", "time_stamp": 3 }
  ]
}

场景 5:Omni - 单主体参考

{
  "model": "skyreels-v4-fast",
  "prompt": "@Actor-1 walks through a neon-lit street at night.",
  "ref_images": [
    { "tag": "@Actor-1", "type": "image", "image_urls": ["https://example.com/actor.jpg"] }
  ]
}

场景 6:Omni - 多主体 + 视频动作参考

{
  "model": "skyreels-v4-fast",
  "prompt": "The man from @image_1 imitates the move on the left in @video_1. The woman from @image_2 imitates the right side.",
  "duration": 5,
  "ref_images": [
    { "tag": "@image_1", "type": "image", "image_urls": ["https://example.com/a.png"] },
    { "tag": "@image_2", "type": "image", "image_urls": ["https://example.com/b.png"] }
  ],
  "ref_videos": [
    { "tag": "@video_1", "type": "reference", "video_url": "https://example.com/motion.mp4" }
  ]
}
警告
此场景使用 `ref_videos.type=reference`,**请求的 `duration` 会被参考视频实际长度覆盖**(上限 10 秒)。即便此处传 `"duration": 5`,最终视频长度以参考视频为准。

场景 7:Omni - 拼贴图(grid)

{
  "model": "skyreels-v4-fast",
  "prompt": "Create a video showing how to make tomato and egg noodles based on @image1.",
  "ref_images": [
    { "tag": "@image1", "type": "grid", "image_urls": ["https://example.com/recipe_grid.png"] }
  ]
}

场景 8:Omni - 视频扩展(extend)

{
  "model": "skyreels-v4-fast",
  "prompt": "Video extended @video1, someone walks over and sits on the sofa.",
  "duration": 8,
  "ref_videos": [
    { "tag": "@video1", "type": "extend", "video_url": "https://example.com/source.mp4" }
  ]
}

场景 9:Omni - 带声纹(语音同步)

{
  "model": "skyreels-v4-std",
  "prompt": "@Actor-1 speaks with a calm tone.",
  "ref_images": [
    {
      "tag": "@Actor-1",
      "type": "image",
      "image_urls": ["https://example.com/actor.jpg"],
      "audio_url":  "https://example.com/voice.mp3"
    }
  ]
}
注意
**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](/cn/api-reference/tasks/status) 接口查询生成进度和结果。