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"
}
}
Wan2.7
Geração de Vídeo Wan2.7
- Modelo de geração de vídeo Wanxiang 2.7 do Alibaba Cloud (entrada unificada)
- Roteado automaticamente com base nos parâmetros: Text-to-Video / Image-to-Video (primeiro quadro, primeiro e último quadro, continuação de vídeo)
- Suporta resolução 720P/1080P, duração de 2 a 15 segundos
- Suporta áudio personalizado (música de fundo no modo text-to-video, áudio condutor no modo image-to-video)
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": "wan2.7",
"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"
}
}
Autorização
string
obrigatório
Todos os endpoints da API exigem autenticação via Bearer TokenObtenha sua chave de API:Acesse a página de gerenciamento de chaves de API para obter sua chave de APIAdicione ao cabeçalho da requisição:
Authorization: Bearer YOUR_API_KEY
Roteamento de modos
wan2.7 é uma entrada unificada para text-to-video e image-to-video. O backend determina automaticamente o modo com base nos parâmetros recebidos. Ambos os modos são cobrados de forma idêntica:
| Condição | Roteia para | Descrição do modo |
|---|---|---|
Qualquer um de image_urls / image_with_roles / video_urls é fornecido | Image-to-Video | Primeiro quadro / Primeiro e último quadro / Continuação de vídeo |
| Nenhum dos parâmetros acima fornecido | Text-to-Video | Gera vídeo puramente a partir da descrição em texto |
Parâmetros da requisição
string
obrigatório
Nome do modelo de geração de vídeo, fixo como
wan2.7boolean
padrão:"false"
Define se o conteúdo deve ser moderado antes do envio da tarefa de vídeo.
true: verificar prompts e imagens de entrada comomni-moderation-latestfalseou omitido: não enviar solicitação de moderação, sem custo nem latência adicionais de moderação (padrão)
string
Descrição do conteúdo do vídeo, até 5000 caracteres
- Modo Text-to-Video (quando nenhuma imagem/vídeo é fornecido): obrigatório
- Modo Image-to-Video: opcional, mas recomendado para guiar o movimento da câmera e as ações
"A cat chasing butterflies on the grass, bright sunshine, slow motion"array<string>
Array de URLs de imagens. Fornecê-lo entra automaticamente no modo Image-to-Video
- 1 imagem: primeiro quadro para o vídeo
- 2 imagens: primeiro e último quadro para o vídeo (1ª = primeiro quadro, 2ª = último quadro)
image_with_rolesimage_urls entra em conflito com audio_url; não podem ser fornecidos ao mesmo tempoarray<object>
Array de imagens com papéis, alternativa a
image_urls, usado para especificar com precisão o papel de cada imagemCampos de cada objeto:url(string): URL da imagem (suporta http/https)role(string): papel da imagem,first_frame/last_frame, padrãofirst_frame
[
{ "url": "https://cdn.example.com/start.jpg", "role": "first_frame" },
{ "url": "https://cdn.example.com/end.jpg", "role": "last_frame" }
]
image_with_roles entra em conflito com audio_url; não podem ser fornecidos ao mesmo tempoarray<string>
Array de URLs de vídeos. Fornecê-lo entra no modo de continuação de vídeo (apenas o 1º vídeo é usado)
video_urls entra em conflito com audio_url; não podem ser fornecidos ao mesmo tempoRestrições do vídeo:
- Formato: mp4, mov
- Duração: 2–10s
- Resolução: largura e altura no intervalo [240, 4096] pixels
- Proporção: 1:8 – 8:1
- Tamanho do arquivo: até 100MB
string
Prompt negativo que descreve conteúdo indesejado, até 500 caracteresExemplo:
"blurry, distorted, low quality"string
padrão:"1080P"
Resolução do vídeoOpções:
720P- Padrão1080P- Alta definição (padrão)
integer
padrão:"5"
Duração do vídeo (segundos)Intervalo suportado:
2 ~ 15 segundosPadrão: 5string
padrão:"16:9"
Proporção de tela, efetivo apenas no modo Text-to-Video (quando nenhuma imagem/vídeo é fornecido)Formatos suportados:
16:9- Paisagem widescreen (padrão)9:16- Retrato1:1- Quadrado4:3- Paisagem3:4- Retrato
Este parâmetro é ignorado no modo Image-to-Video; a proporção é determinada automaticamente pela imagem de entrada
string
URL de áudio personalizado
- Modo Text-to-Video: usado como música de fundo
- Modo Image-to-Video: usado como áudio condutor, sincronizado com as ações na tela
audio_url entra em conflito com video_urls, image_urls e image_with_roles; não podem ser fornecidos ao mesmo tempoboolean
padrão:"true"
Se deve ativar a reescrita inteligente do promptMelhora significativamente os resultados para prompts curtos, mas aumenta o tempo de processamentoPadrão:
trueboolean
padrão:"false"
Se deve adicionar a marca d’água “AI Generated” ao vídeo gerado
true: adicionar marca d’águafalse: sem marca d’água (padrão)
integer
Inteiro de seed usado para controlar a aleatoriedade do conteúdo geradoIntervalo de valores: inteiro
≥0- Para requisições idênticas, o modelo gera resultados diferentes ao receber valores de seed diferentes (por exemplo, omitindo o seed)
- Para requisições idênticas, o modelo gera resultados semelhantes ao receber o mesmo valor de seed, mas a consistência exata não é garantida
Resposta
integer
Código de status da resposta, 200 em caso de sucesso
array
Casos de uso
Caso 1: Texto para vídeo (Requisição mais simples)
{
"model": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel"
}
Caso 2: Texto para vídeo (Parâmetros 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: Primeiro quadro para vídeo
{
"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: Primeiro e último quadro para vídeo
{
"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
}
Com 2 imagens: a 1ª é o primeiro quadro, a 2ª é o último quadro. Você também pode usar image_with_roles para uma especificação precisa.
Caso 5: Continuação de vídeo
{
"model": "wan2.7",
"prompt": "Continue walking forward, camera follows",
"video_urls": ["https://cdn.example.com/clip.mp4"],
"resolution": "1080P",
"duration": 8
}
Caso 6: Imagem + áudio condutor
{
"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
}
Guia de seleção de modo
| Requisito | Abordagem recomendada |
|---|---|
| Gerar vídeo apenas a partir de texto | Passe apenas prompt (sem imagem/vídeo) |
| Fazer uma imagem “ganhar vida” | Passe 1 imagem em image_urls |
| Controlar o primeiro e o último quadro | Passe 2 imagens em image_urls (primeiro + último) |
| Estender um vídeo existente | Passe o vídeo em video_urls |
| Fazer a imagem se mover ao ritmo da música | Passe imagem + audio_url |
Consultar resultados da tarefaA geração de vídeos é uma tarefa assíncrona que retorna um
task_id no envio. Use o endpoint Obter status da tarefa para consultar o progresso e os resultados da geração.