> ## 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.

# Video（图生视频）

> Midjourney 图生视频（i2v），固定 FAST，不支持 t2v，时长约 5 秒

```bash cURL theme={null}
curl --request POST \
  --url https://api.apimart.ai/v1/midjourney/generations/video \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "prompt": "the cat slowly turns its head to the camera",
    "image_urls": [
      "https://example.com/cat.png"
    ],
    "motion": "high",
    "batch_size": 4
  }'
```

```python Python theme={null}
import requests

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

payload = {
    "prompt": "the cat slowly turns its head to the camera",
    "image_urls": [
        "https://example.com/cat.png"
    ],
    "motion": "high",
    "batch_size": 4
}

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/midjourney/generations/video";

const payload = {
  prompt: "the cat slowly turns its head to the camera",
  image_urls: [
    "https://example.com/cat.png"
  ],
  motion: "high",
  batch_size: 4
};

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/midjourney/generations/video"

    payload := map[string]interface{}{
        "prompt": "the cat slowly turns its head to the camera",
        "image_urls": []string{
            "https://example.com/cat.png",
        },
        "motion": "high",
        "batch_size": 4,
    }

    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/midjourney/generations/video";

        String payload = """
        {
          "prompt": "the cat slowly turns its head to the camera",
          "image_urls": [
            "https://example.com/cat.png"
          ],
          "motion": "high",
          "batch_size": 4
        }
        """;

        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/midjourney/generations/video";

$payload = [
    "prompt" => "the cat slowly turns its head to the camera",
    "image_urls" => [
        "https://example.com/cat.png",
    ],
    "motion" => "high",
    "batch_size" => 4,
];

$ch = curl_init($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/midjourney/generations/video")

payload = {
  prompt: "the cat slowly turns its head to the camera",
  image_urls: [
    "https://example.com/cat.png",
  ],
  motion: "high",
  batch_size: 4,
}

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/midjourney/generations/video")!

let payload: [String: Any] = [
    "prompt": "the cat slowly turns its head to the camera",
    "image_urls": [
        "https://example.com/cat.png",
    ],
    "motion": "high",
    "batch_size": 4,
]

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/midjourney/generations/video";

        var payload = @"{
            ""prompt"": ""the cat slowly turns its head to the camera"",
            ""image_urls"": [
                ""https://example.com/cat.png""
            ],
            ""motion"": ""high"",
            ""batch_size"": 4
        }";

        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);
    }
}
```

```c C theme={null}
#include <stdio.h>
#include <curl/curl.h>

int main(void) {
    CURL *curl;
    CURLcode res;

    curl_global_init(CURL_GLOBAL_DEFAULT);
    curl = curl_easy_init();

    if(curl) {
        const char *url = "https://api.apimart.ai/v1/midjourney/generations/video";
        const char *payload = "{"
            "\"prompt\":\"the cat slowly turns its head to the camera\","
            "\"image_urls\":[\"https://example.com/cat.png\"],"
            "\"motion\":\"high\","
            "\"batch_size\":4"
        "}";

        struct curl_slist *headers = NULL;
        headers = curl_slist_append(headers, "Authorization: Bearer <token>");
        headers = curl_slist_append(headers, "Content-Type: application/json");

        curl_easy_setopt(curl, CURLOPT_URL, url);
        curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
        curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);

        res = curl_easy_perform(curl);

        if(res != CURLE_OK) {
            fprintf(stderr, "curl_easy_perform() failed: %s\n",
                    curl_easy_strerror(res));
        }

        curl_slist_free_all(headers);
        curl_easy_cleanup(curl);
    }

    curl_global_cleanup();
    return 0;
}
```

```objectivec Objective-C theme={null}
#import <Foundation/Foundation.h>

int main(int argc, const char * argv[]) {
    @autoreleasepool {
        NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/midjourney/generations/video"];
        
        NSDictionary *payload = @{
            @"prompt": @"the cat slowly turns its head to the camera",
            @"image_urls": @[
                @"https://example.com/cat.png",
            ],
            @"motion": @"high",
            @"batch_size": @4,
        };
        
        NSError *error;
        NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                          options:0
                                                            error:&error];
        
        NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
        [request setHTTPMethod:@"POST"];
        [request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
        [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
        [request setHTTPBody:jsonData];
        
        NSURLSessionDataTask *task = [[NSURLSession sharedSession] 
            dataTaskWithRequest:request
            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                if (error) {
                    NSLog(@"Error: %@", error);
                    return;
                }
                NSString *result = [[NSString alloc] initWithData:data 
                                                        encoding:NSUTF8StringEncoding];
                NSLog(@"%@", result);
            }];
        
        [task resume];
        [[NSRunLoop mainRunLoop] run];
    }
    return 0;
}
```

```ocaml OCaml theme={null}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix

let url = "https://api.apimart.ai/v1/midjourney/generations/video"

let payload = {|{
  "prompt": "the cat slowly turns its head to the camera",
  "image_urls": [
    "https://example.com/cat.png"
  ],
  "motion": "high",
  "batch_size": 4
}|}

let () =
  let headers = Header.init ()
    |> fun h -> Header.add h "Authorization" "Bearer <token>"
    |> fun h -> Header.add h "Content-Type" "application/json"
  in
  let body = Cohttp_lwt.Body.of_string payload in
  
  let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
    body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
    print_endline body_str
  in
  Lwt_main.run response
```

```dart Dart theme={null}
import 'dart:convert';
import 'package:http/http.dart' as http;

void main() async {
  final url = Uri.parse('https://api.apimart.ai/v1/midjourney/generations/video');
  
  final payload = {
    'prompt': 'the cat slowly turns its head to the camera',
    'image_urls': [
      'https://example.com/cat.png',
    ],
    'motion': 'high',
    'batch_size': 4,
  };
  
  final response = await http.post(
    url,
    headers: {
      'Authorization': 'Bearer <token>',
      'Content-Type': 'application/json',
    },
    body: jsonEncode(payload),
  );
  
  print(response.body);
}
```

```r R theme={null}
library(httr)
library(jsonlite)

url <- "https://api.apimart.ai/v1/midjourney/generations/video"

payload <- list(
  prompt = "the cat slowly turns its head to the camera",
  image_urls = list(
    "https://example.com/cat.png"
  ),
  motion = "high",
  batch_size = 4
)

response <- POST(
  url,
  add_headers(
    Authorization = "Bearer <token>",
    `Content-Type` = "application/json"
  ),
  body = toJSON(payload, auto_unbox = TRUE),
  encode = "raw"
)

cat(content(response, "text"))
```

```json 200 theme={null}
{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01KV52C0TEJSYZMCG0NCS4YWKK"
    }
  ]
}
```

```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 403 theme={null}
{
  "error": {
    "code": 403,
    "message": "访问被禁止，您没有权限访问此资源",
    "type": "permission_error"
  }
}
```

```json 404 theme={null}
{
  "error": {
    "code": 404,
    "message": "任务不存在",
    "type": "not_found_error"
  }
}
```

```json 422 theme={null}
{
  "error": {
    "code": 422,
    "message": "图片或提示词未通过内容审核，已自动退款",
    "type": "invalid_request_error"
  }
}
```

```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"
  }
}
```

```json 502 theme={null}
{
  "error": {
    "code": 502,
    "message": "网关错误，服务器暂时不可用",
    "type": "bad_gateway"
  }
}
```

图生视频（i2v）。**固定 FAST 模式，无 speed 维度**；**不支持纯文生视频（t2v）**，必须给首帧。时长固定约 5 秒。

| 项目 | 内容 |
| - | - |
| action | `VIDEO` |
| 计费 | `midjourney@video` / `midjourney@video-720p`，**实扣 = 单价 × `batch_size`** |
| 必填 | `image_urls`（首帧）或 `task_id`（复用 imagine SUCCESS） |

## 参数

| 字段 | 类型 | 必填 | 说明 |
| - | - | - | - |
| `prompt` | string | 否 | 默认: （继承父任务）; 视频提示词；为空时必须有 `task_id` |
| `nsfw_check` | boolean | 否 | 默认值为 `false`。 提交 Midjourney 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`：跳过审核，不增加审核成本与延迟 |
| `image_urls` | string\[] | △ | 起始帧（1 张，≤ 12 MiB）；与 `task_id` 二选一 |
| `task_id` | string | △ | 复用已有 imagine SUCCESS；与 `image_urls` 二选一 |
| `index` | int | 否 | 从 imagine 4 张图选哪张作首帧（`0`–`3`，配合 `task_id`） |
| `video_type` | string | 否 | 默认: `vid_1.1_i2v_480`; 分辨率档（见下表）；含 `720` → 走 `@video-720p` 计费 |
| `animate_mode` | string | 否 | 默认: `manual`; `manual` / `auto`；`auto` 必须给 `task_id` + `index` |
| `motion` | string | 否 | 默认: `high`; `low` / `high`；运动幅度，**不影响计费** |
| `batch_size` | int | 否 | 默认: `1`; 必须 `1` / `2` / `4`，其他值视为 1；**计费 × N** |
| `end_url` | string | 否 | 结束帧；设了后 `video_type` 自动升级为 `start_end_*` |

## video\_type 合法值

| 值 | 分辨率 | 模式 | 命中价格 |
| - | - | - | - |
| `vid_1.1_i2v_480` | 480p | 基础 i2v（默认） | `midjourney@video` |
| `vid_1.1_i2v_720` | 720p | 基础 i2v | `midjourney@video-720p` |
| `vid_1.1_i2v_start_end_480` | 480p | 起止帧（传 `end_url` 时自动升级） | `midjourney@video` |
| `vid_1.1_i2v_start_end_720` | 720p | 起止帧（传 `end_url` 时自动升级） | `midjourney@video-720p` |

> 不接受带 `extend` 的取值；仅支持上表列出的 `video_type`。

## 请求示例

简单 i2v（自带首帧，batch 4）：

```json theme={null}
{
  "prompt": "the cat slowly turns its head to the camera",
  "image_urls": ["https://example.com/cat.png"],
  "motion": "high",
  "batch_size": 4
}
```

起止帧 transition（传 `end_url` 自动升级为 `start_end`）：

```json theme={null}
{
  "prompt": "transition smoothly from sunrise to sunset",
  "image_urls": ["https://example.com/sunrise.jpg"],
  "end_url": "https://example.com/sunset.jpg",
  "video_type": "vid_1.1_i2v_720"
}
```

## 响应

提交返回 `task_id`，轮询 `GET /v1/tasks/{task_id}`。SUCCESS 后含 `video_url`（首个）+ `video_urls`（`length === batch_size`，batch=1 时也是 1 个元素）：

```json theme={null}
{
  "id": "task_xxx",
  "status": "SUCCESS",
  "action": "VIDEO",
  "mode": "FAST",
  "video_url": "https://r2.example.com/video-0.mp4",
  "video_urls": [
    "https://r2.example.com/video-0.mp4",
    "https://r2.example.com/video-1.mp4"
  ]
}
```

## 注意

* **不支持纯文生视频（t2v）**：必须给 `image_urls` 或 `task_id`，否则返回 `400`；两者不能同时传。
* **固定 FAST 模式**，无 speed 维度（计费表里 `@video-fast` / `@video-turbo` 永不命中）。
* `batch_size` 严格校验为 `1` / `2` / `4`；**batch=4 实扣 4 倍，预算敏感时用 batch=1**。
* `animate_mode=auto` 必须同时给 `task_id` + `index`。
* 首帧 / 结束帧单图 ≤ 12 MiB。


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