Generación de Video Wan2.7

curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
  }'

import requests

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

payload = {
    "model": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
}

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: "wan2.7",
  prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
  resolution: "1080P",
  duration: 8,
  size: "16:9"
};

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":      "wan2.7",
        "prompt":     "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
        "resolution": "1080P",
        "duration":   8,
        "size":       "16:9",
    }

    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": "wan2.7",
          "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
          "resolution": "1080P",
          "duration": 8,
          "size": "16:9"
        }
        """;

        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" => "wan2.7",
    "prompt" => "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution" => "1080P",
    "duration" => 8,
    "size" => "16:9"
];

$ch = curl_init($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: "wan2.7",
  prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
  resolution: "1080P",
  duration: 8,
  size: "16:9"
}

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": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
]

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"": ""wan2.7"",
            ""prompt"": ""A coastal road at sunset, slow-motion camera push-in, cinematic feel"",
            ""resolution"": ""1080P"",
            ""duration"": 8,
            ""size"": ""16:9""
        }";

        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": "Invalid authentication credentials",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient balance. Please top up your account",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded. Please try again later",
    "type": "rate_limit_error"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal server error. Please try again later",
    "type": "server_error"
  }
}

POST

videos

generations

curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
  }'

import requests

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

payload = {
    "model": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
}

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: "wan2.7",
  prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
  resolution: "1080P",
  duration: 8,
  size: "16:9"
};

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":      "wan2.7",
        "prompt":     "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
        "resolution": "1080P",
        "duration":   8,
        "size":       "16:9",
    }

    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": "wan2.7",
          "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
          "resolution": "1080P",
          "duration": 8,
          "size": "16:9"
        }
        """;

        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" => "wan2.7",
    "prompt" => "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution" => "1080P",
    "duration" => 8,
    "size" => "16:9"
];

$ch = curl_init($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: "wan2.7",
  prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
  resolution: "1080P",
  duration: 8,
  size: "16:9"
}

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": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
]

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"": ""wan2.7"",
            ""prompt"": ""A coastal road at sunset, slow-motion camera push-in, cinematic feel"",
            ""resolution"": ""1080P"",
            ""duration"": 8,
            ""size"": ""16:9""
        }";

        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": "Invalid authentication credentials",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient balance. Please top up your account",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded. 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": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
  }'

import requests

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

payload = {
    "model": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
}

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: "wan2.7",
  prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
  resolution: "1080P",
  duration: 8,
  size: "16:9"
};

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":      "wan2.7",
        "prompt":     "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
        "resolution": "1080P",
        "duration":   8,
        "size":       "16:9",
    }

    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": "wan2.7",
          "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
          "resolution": "1080P",
          "duration": 8,
          "size": "16:9"
        }
        """;

        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" => "wan2.7",
    "prompt" => "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution" => "1080P",
    "duration" => 8,
    "size" => "16:9"
];

$ch = curl_init($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: "wan2.7",
  prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
  resolution: "1080P",
  duration: 8,
  size: "16:9"
}

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": "wan2.7",
    "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    "resolution": "1080P",
    "duration": 8,
    "size": "16:9"
]

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"": ""wan2.7"",
            ""prompt"": ""A coastal road at sunset, slow-motion camera push-in, cinematic feel"",
            ""resolution"": ""1080P"",
            ""duration"": 8,
            ""size"": ""16:9""
        }";

        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": "Invalid authentication credentials",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient balance. Please top up your account",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded. Please try again later",
    "type": "rate_limit_error"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal server error. Please try again later",
    "type": "server_error"
  }
}

Autorización

string

requerido

Todos los endpoints de la API requieren autenticación mediante Bearer TokenObtenga su API Key:Visite la página de gestión de API Keys para obtener su API KeyAñádala al encabezado de la solicitud:

Authorization: Bearer YOUR_API_KEY

Enrutamiento de modos

wan2.7 es una entrada unificada para text-to-video e image-to-video. El backend determina automáticamente el modo según los parámetros entrantes. Ambos modos se facturan de forma idéntica:

Condición	Se enruta a	Descripción del modo
Cualquiera de `image_urls` / `image_with_roles` / `video_urls` está presente	Image-to-Video	Primer fotograma / Primer y último fotograma / Continuación de video
Ninguno de los parámetros anteriores está presente	Text-to-Video	Genera video únicamente a partir de la descripción en texto

Parámetros de la solicitud

string

requerido

Nombre del modelo de generación de video, fijado como wan2.7

boolean

predeterminado:"false"

Indica si se debe moderar el contenido antes de enviar la tarea de vídeo.

true: revisar los prompts y las imágenes de entrada con omni-moderation-latest
false u omitido: no enviar una solicitud de moderación, sin coste ni latencia de moderación adicionales (predeterminado)

string

Descripción del contenido del video, hasta 5000 caracteres

Modo Text-to-Video (cuando no se proporciona imagen/video): obligatorio
Modo Image-to-Video: opcional, pero recomendado para guiar el movimiento de cámara y las acciones

Ejemplo: "A cat chasing butterflies on the grass, bright sunshine, slow motion"

array<string>

Array de URLs de imágenes. Proporcionarlo entra automáticamente en modo Image-to-Video

1 imagen: primer fotograma del video
2 imágenes: primer y último fotograma del video (1ª = primer fotograma, 2ª = último fotograma)

Use este o image_with_roles

image_urls entra en conflicto con audio_url; no pueden proporcionarse al mismo tiempo

array<object>

Array de imágenes con roles, alternativa a image_urls, usado para especificar con precisión el rol de cada imagenCampos de cada objeto:

url (string): URL de la imagen (admite http/https)
role (string): rol de la imagen, first_frame / last_frame, por defecto first_frame

Ejemplo:

[
  { "url": "https://cdn.example.com/start.jpg", "role": "first_frame" },
  { "url": "https://cdn.example.com/end.jpg", "role": "last_frame" }
]

image_with_roles entra en conflicto con audio_url; no pueden proporcionarse al mismo tiempo

array<string>

Array de URLs de videos. Proporcionarlo entra en el modo de continuación de video (solo se usa el 1er video)

video_urls entra en conflicto con audio_url; no pueden proporcionarse al mismo tiempo

Restricciones del video:

Formato: mp4, mov
Duración: 2–10s
Resolución: ancho y alto en el rango [240, 4096] píxeles
Proporción de aspecto: 1:8 – 8:1
Tamaño del archivo: hasta 100MB

string

Prompt negativo que describe el contenido no deseado, hasta 500 caracteresEjemplo: "blurry, distorted, low quality"

string

predeterminado:"1080P"

Resolución del videoOpciones:

720P - Estándar
1080P - Alta definición (por defecto)

integer

predeterminado:"5"

Duración del video (segundos)Rango soportado: 2 ~ 15 segundosPor defecto: 5

string

predeterminado:"16:9"

Proporción de aspecto, solo efectiva en modo Text-to-Video (cuando no se proporciona imagen/video)Formatos soportados:

16:9 - Paisaje panorámico (por defecto)
9:16 - Retrato
1:1 - Cuadrado
4:3 - Paisaje
3:4 - Retrato

Este parámetro se ignora en el modo Image-to-Video; la proporción de aspecto la determina automáticamente la imagen de entrada

string

URL de audio personalizado

Modo Text-to-Video: usado como música de fondo
Modo Image-to-Video: usado como audio conductor, sincronizado con las acciones en pantalla

Formato: wav / mp3, duración 2-30 segundos, tamaño del archivo ≤ 15MB

audio_url entra en conflicto con video_urls, image_urls e image_with_roles; no pueden proporcionarse al mismo tiempo

boolean

predeterminado:"true"

Si se debe activar la reescritura inteligente del promptMejora significativamente los resultados para prompts cortos, pero aumenta el tiempo de procesamientoPor defecto: true

boolean

predeterminado:"false"

Si se debe añadir la marca de agua “AI Generated” al video generado

true: añadir marca de agua
false: sin marca de agua (por defecto)

integer

Entero de seed usado para controlar la aleatoriedad del contenido generadoRango de valores: entero ≥0

Para solicitudes idénticas, el modelo genera resultados diferentes al recibir valores de seed diferentes (por ejemplo, al omitir el seed)
Para solicitudes idénticas, el modelo genera resultados similares al recibir el mismo valor de seed, pero no se garantiza consistencia exacta

Respuesta

integer

Código de estado de la respuesta, 200 en caso de éxito

array

Array de datos de la respuesta

Mostrar Elementos del array

string

Estado de la tarea, submitted al enviarse inicialmente

string

Identificador único de la tarea para consultar el estado y los resultados

Casos de uso

Caso 1: Texto a video (Solicitud más simple)

{
  "model": "wan2.7",
  "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel"
}

Caso 2: Texto a video (Parámetros completos)

{
  "model": "wan2.7",
  "prompt": "A cat chasing butterflies on the grass, bright sunshine, slow motion",
  "negative_prompt": "blurry, distorted, low quality",
  "resolution": "1080P",
  "duration": 8,
  "size": "16:9",
  "audio_url": "https://cdn.example.com/bgm.mp3",
  "prompt_extend": true,
  "watermark": false,
  "seed": 42
}

Caso 3: Primer fotograma a video

{
  "model": "wan2.7",
  "prompt": "The character slowly stands up and walks toward the camera",
  "image_urls": ["https://cdn.example.com/person.jpg"],
  "resolution": "1080P",
  "duration": 8
}

Caso 4: Primer y último fotograma a video

{
  "model": "wan2.7",
  "prompt": "The camera pans slowly from the beach to the mountaintop",
  "image_urls": [
    "https://cdn.example.com/beach.jpg",
    "https://cdn.example.com/mountain.jpg"
  ],
  "resolution": "1080P",
  "duration": 10
}

Con 2 imágenes: la 1ª es el primer fotograma, la 2ª es el último fotograma. También puede usar image_with_roles para una especificación precisa.

Caso 5: Continuación de video

{
  "model": "wan2.7",
  "prompt": "Continue walking forward, camera follows",
  "video_urls": ["https://cdn.example.com/clip.mp4"],
  "resolution": "1080P",
  "duration": 8
}

Caso 6: Imagen + audio conductor

{
  "model": "wan2.7",
  "prompt": "The character moves to the rhythm of the music",
  "image_urls": ["https://cdn.example.com/dancer.jpg"],
  "audio_url": "https://cdn.example.com/beat.mp3",
  "resolution": "1080P",
  "duration": 8
}

Guía de selección de modo

Requisito	Enfoque recomendado
Generar video solo a partir de texto	Pasar solo `prompt` (sin imagen/video)
Hacer que una imagen “cobre vida”	Pasar 1 imagen a `image_urls`
Controlar el primer y último fotograma	Pasar 2 imágenes a `image_urls` (primer + último)
Extender un video existente	Pasar el video a `video_urls`
Hacer que la imagen se mueva al ritmo de la música	Pasar imagen + `audio_url`

Consultar resultados de la tareaLa generación de video es una tarea asíncrona que devuelve un task_id al enviarse. Use el endpoint Obtener estado de la tarea para consultar el progreso y los resultados de la generación.

Visión general

Modelos

Serie de texto

Serie de imágenes

Serie de video

Serie de audio

Serie de Moderación

Gestión de subidas

Gestión de tareas

Gestión de cuenta

Generación de Video Wan2.7

Autorización

Enrutamiento de modos

Parámetros de la solicitud

Respuesta

Casos de uso

Caso 1: Texto a video (Solicitud más simple)

Caso 2: Texto a video (Parámetros completos)

Caso 3: Primer fotograma a video

Caso 4: Primer y último fotograma a video

Caso 5: Continuación de video

Caso 6: Imagen + audio conductor

Guía de selección de modo

​Autorización

​Enrutamiento de modos

​Parámetros de la solicitud

​Respuesta

​Casos de uso

​Caso 1: Texto a video (Solicitud más simple)

​Caso 2: Texto a video (Parámetros completos)

​Caso 3: Primer fotograma a video

​Caso 4: Primer y último fotograma a video

​Caso 5: Continuación de video

​Caso 6: Imagen + audio conductor

​Guía de selección de modo

Autorización

Enrutamiento de modos

Parámetros de la solicitud

Respuesta

Casos de uso

Caso 1: Texto a video (Solicitud más simple)

Caso 2: Texto a video (Parámetros completos)

Caso 3: Primer fotograma a video

Caso 4: Primer y último fotograma a video

Caso 5: Continuación de video

Caso 6: Imagen + audio conductor

Guía de selección de modo