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POST
/
v1
/
videos
/
generations
curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "wan2.5-preview",
    "prompt": "Sunset coastal highway, cinematic shot",
    "size": "16:9",
    "resolution": "720p",
    "duration": 5
  }'
import requests

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

payload = {
    "model": "wan2.5-preview",
    "prompt": "Sunset coastal highway, cinematic shot",
    "size": "16:9",
    "resolution": "720p",
    "duration": 5
}

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

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

print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";

const payload = {
  model: "wan2.5-preview",
  prompt: "Sunset coastal highway, cinematic shot",
  size: "16:9",
  resolution: "720p",
  duration: 5
};

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));
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":      "wan2.5-preview",
        "prompt":     "Sunset coastal highway, cinematic shot",
        "size":       "16:9",
        "resolution": "720p",
        "duration":   5,
    }

    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))
}
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": "wan2.5-preview",
          "prompt": "Sunset coastal highway, cinematic shot",
          "size": "16:9",
          "resolution": "720p",
          "duration": 5
        }
        """;

        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

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

$payload = [
    "model" => "wan2.5-preview",
    "prompt" => "Sunset coastal highway, cinematic shot",
    "size" => "16:9",
    "resolution" => "720p",
    "duration" => 5
];

$ch = curl_init($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;
?>
require 'net/http'
require 'json'
require 'uri'

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

payload = {
  model: "wan2.5-preview",
  prompt: "Sunset coastal highway, cinematic shot",
  size: "16:9",
  resolution: "720p",
  duration: 5
}

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
import Foundation

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

let payload: [String: Any] = [
    "model": "wan2.5-preview",
    "prompt": "Sunset coastal highway, cinematic shot",
    "size": "16:9",
    "resolution": "720p",
    "duration": 5
]

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()
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"": ""wan2.5-preview"",
            ""prompt"": ""Sunset coastal highway, cinematic shot"",
            ""size"": ""16:9"",
            ""resolution"": ""720p"",
            ""duration"": 5
        }";

        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);
    }
}
{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient balance, please top up",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 429,
    "message": "Too many requests, please try again later",
    "type": "rate_limit_error"
  }
}
{
  "error": {
    "code": 500,
    "message": "Internal server error. Please try again later",
    "type": "server_error"
  }
}
curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "wan2.5-preview",
    "prompt": "Sunset coastal highway, cinematic shot",
    "size": "16:9",
    "resolution": "720p",
    "duration": 5
  }'
import requests

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

payload = {
    "model": "wan2.5-preview",
    "prompt": "Sunset coastal highway, cinematic shot",
    "size": "16:9",
    "resolution": "720p",
    "duration": 5
}

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

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

print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";

const payload = {
  model: "wan2.5-preview",
  prompt: "Sunset coastal highway, cinematic shot",
  size: "16:9",
  resolution: "720p",
  duration: 5
};

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));
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":      "wan2.5-preview",
        "prompt":     "Sunset coastal highway, cinematic shot",
        "size":       "16:9",
        "resolution": "720p",
        "duration":   5,
    }

    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))
}
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": "wan2.5-preview",
          "prompt": "Sunset coastal highway, cinematic shot",
          "size": "16:9",
          "resolution": "720p",
          "duration": 5
        }
        """;

        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

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

$payload = [
    "model" => "wan2.5-preview",
    "prompt" => "Sunset coastal highway, cinematic shot",
    "size" => "16:9",
    "resolution" => "720p",
    "duration" => 5
];

$ch = curl_init($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;
?>
require 'net/http'
require 'json'
require 'uri'

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

payload = {
  model: "wan2.5-preview",
  prompt: "Sunset coastal highway, cinematic shot",
  size: "16:9",
  resolution: "720p",
  duration: 5
}

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
import Foundation

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

let payload: [String: Any] = [
    "model": "wan2.5-preview",
    "prompt": "Sunset coastal highway, cinematic shot",
    "size": "16:9",
    "resolution": "720p",
    "duration": 5
]

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()
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"": ""wan2.5-preview"",
            ""prompt"": ""Sunset coastal highway, cinematic shot"",
            ""size"": ""16:9"",
            ""resolution"": ""720p"",
            ""duration"": 5
        }";

        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);
    }
}
{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient balance, please top up",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 429,
    "message": "Too many requests, please try again later",
    "type": "rate_limit_error"
  }
}
{
  "error": {
    "code": 500,
    "message": "Internal server error. Please try again later",
    "type": "server_error"
  }
}

Authentication

Authorization
string
required
All endpoints require Bearer Token authenticationGet API Key:Visit the API Key Management Page to get your API KeyAdd to request header:
Authorization: Bearer YOUR_API_KEY

Request Parameters

model
string
required
Video generation model name, fixed as wan2.5-preview
prompt
string
Video content descriptionRequired for text-to-video (without image_urls), optional but recommended for image-to-videoDescribe scenes, actions, styles in detail for better resultsExample: "Sunset coastal highway, cinematic shot"
image_urls
array<string>
Reference image URL array (only 1 image supported)Required for image-to-video mode, supports publicly accessible image URLs or Base64 encoding (data:image/png;base64,...)Example: ["https://example.com/image.jpg"]
The system automatically selects text-to-video or image-to-video mode based on whether image_urls is included. Do not pass image_urls for text-to-video mode.
negative_prompt
string
Negative prompt, describes unwanted contentMaximum 500 charactersExample: "blurry, low quality, distorted"
resolution
string
default:"720p"
Video resolutionOptions:
  • 480p - SD, supports size: 16:9, 9:16, 1:1
  • 720p - HD (default), supports size: 16:9, 9:16, 1:1, 4:3, 3:4
  • 1080p - FHD, supports size: 16:9, 9:16, 1:1, 4:3, 3:4
Default: 720p
Resolution directly affects pricing: 1080p > 720p > 480p.
480p only supports 16:9, 9:16, 1:1 ratios. Passing 4:3 or 3:4 will result in an error.
duration
integer
default:"5"
Video duration (seconds)Only supports: 5 or 10 secondsDefault: 5
size
string
default:"16:9"
Aspect ratio, only effective for text-to-video (without image_urls)Options depend on resolution:480p:
  • 16:9 - Landscape (default)
  • 9:16 - Portrait
  • 1:1 - Square
720p / 1080p:
  • 16:9 - Landscape (default)
  • 9:16 - Portrait
  • 1:1 - Square
  • 4:3 - Landscape
  • 3:4 - Portrait
Default: 16:9
For image-to-video, the aspect ratio is determined by the input image. Do not pass size, otherwise an error will be returned.
seed
integer
Random seed (≥0), specifying the same seed can reproduce similar resultsExample: 12345
prompt_extend
boolean
default:"true"
Whether to enable smart prompt rewritingSignificantly improves results for shorter prompts, but increases processing timeDefault: true
audio
boolean
default:"true"
Whether to automatically add audioWhen enabled, the system will generate matching audio for the videoDefault: true
This model only supports audio=true. Setting to false for silent video is not supported.
audio_url
string
Custom audio URL (wav/mp3, 3-30 seconds, ≤ 15MB)If the audio is longer than the video duration, it will be automatically trimmed; if shorter, the remaining part will be silent
Audio file requirements:
  • Format: wav, mp3
  • Duration: 3-30 seconds
  • Size: ≤ 15MB
watermark
boolean
default:"false"
Whether to add an “AI Generated” watermark (bottom right)Default: false

Resolution and Aspect Ratio Combinations

size and resolution combinations map to upstream pixel dimensions (only effective for text-to-video):
Aspect RatioDescription480p Size720p Size1080p Size
16:9Landscape (default)832×4801280×7201920×1080
9:16Portrait480×832720×12801080×1920
1:1Square624×624960×9601440×1440
4:3Landscape-1088×8321632×1248
3:4Portrait-832×10881248×1632
480p only supports 16:9, 9:16, 1:1 ratios. Passing 4:3 or 3:4 will result in an error. 720p and 1080p support all 5 ratios.

Response

code
integer
Response status code, 200 on success
data
array
Response data array

Use Cases

Case 1: Text-to-Video (Simple)

{
  "model": "wan2.5-preview",
  "prompt": "Sunset coastal highway, cinematic shot"
}

Case 2: Text-to-Video (Full Parameters)

{
  "model": "wan2.5-preview",
  "prompt": "City night scene, neon lights and rain-soaked streets",
  "negative_prompt": "blurry, low quality, distorted",
  "size": "16:9",
  "resolution": "720p",
  "duration": 5,
  "seed": 12345,
  "prompt_extend": true,
  "audio": true,
  "watermark": false
}

Case 3: Image-to-Video

{
  "model": "wan2.5-preview",
  "prompt": "Cat running on the grass",
  "image_urls": ["https://example.com/cat.jpg"],
  "resolution": "480p",
  "duration": 5
}

Case 4: Image-to-Video (Base64 Image)

{
  "model": "wan2.5-preview",
  "prompt": "Make the cat stand up and walk",
  "image_urls": ["data:image/png;base64,iVBORw0KGgo..."],
  "duration": 5
}

Case 5: Custom Audio

{
  "model": "wan2.5-preview",
  "prompt": "Person dancing to the music",
  "image_urls": ["https://example.com/dancer.jpg"],
  "audio_url": "https://example.com/music.mp3",
  "resolution": "720p",
  "duration": 10
}

Mode Description

Text-to-Video

  • prompt parameter is required
  • Do not pass image_urls
  • Use size to specify aspect ratio

Image-to-Video

  • image_urls parameter is required (only 1 image supported)
  • prompt is optional, used to describe expected actions
  • Aspect ratio is determined by the input image, do not pass size
The system automatically selects the mode based on whether image_urls is included
Query Task ResultsVideo generation is an asynchronous task that returns a task_id upon submission. Use the Get Task Status endpoint to query generation progress and results.