创建视频生成任务

curl --request POST \
  --url https://api.neural4d.com/openapi/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "xai/grok-imagine",
  "prompt": "A cinematic tracking shot through a neon-lit street at night",
  "duration": 6,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9"
}
'

import requests

response = requests.request(
    "POST",
    "https://api.neural4d.com/openapi/v1/videos/generations",
    headers={
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json",
    },
    json={
      "model": "xai/grok-imagine",
      "prompt": "A cinematic tracking shot through a neon-lit street at night",
      "duration": 6,
      "n": 1,
      "resolution": "720p",
      "aspect_ratio": "16:9"
    },
)
print(response.json())

const response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "xai/grok-imagine",
    "prompt": "A cinematic tracking shot through a neon-lit street at night",
    "duration": 6,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9"
  }),
});
const data = await response.json();
console.log(data);

const response: Response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "xai/grok-imagine",
    "prompt": "A cinematic tracking shot through a neon-lit street at night",
    "duration": 6,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9"
  }),
});
const data = await response.json();
console.log(data);

import java.net.URI;
import java.net.http.*;

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.neural4d.com/openapi/v1/videos/generations"))
    .header("Authorization", "Bearer <token>")
    .header("Content-Type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n      \"model\": \"xai/grok-imagine\",\n      \"prompt\": \"A cinematic tracking shot through a neon-lit street at night\",\n      \"duration\": 6,\n      \"n\": 1,\n      \"resolution\": \"720p\",\n      \"aspect_ratio\": \"16:9\"\n    }"))
    .build();
HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

package main

import (
  "fmt"
  "io"
  "net/http"
  "strings"
)

payload := strings.NewReader("{\n  \"model\": \"xai/grok-imagine\",\n  \"prompt\": \"A cinematic tracking shot through a neon-lit street at night\",\n  \"duration\": 6,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\"\n}")
req, _ := http.NewRequest("POST", "https://api.neural4d.com/openapi/v1/videos/generations", payload)
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
bodyBytes, _ := io.ReadAll(resp.Body)
fmt.Println(string(bodyBytes))

require "net/http"
require "json"

uri = URI("https://api.neural4d.com/openapi/v1/videos/generations")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = {
  "model": "xai/grok-imagine",
  "prompt": "A cinematic tracking shot through a neon-lit street at night",
  "duration": 6,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9"
}.to_json

response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == "https") { |http| http.request(request) }
puts response.body

<?php

$ch = curl_init("https://api.neural4d.com/openapi/v1/videos/generations");
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => "POST",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => ["Authorization: Bearer <token>", "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => "{\n  \"model\": \"xai/grok-imagine\",\n  \"prompt\": \"A cinematic tracking shot through a neon-lit street at night\",\n  \"duration\": 6,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\"\n}",
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;

using System.Net.Http;
using System.Text;

using var client = new HttpClient();
using var request = new HttpRequestMessage(HttpMethod.Post, "https://api.neural4d.com/openapi/v1/videos/generations");
request.Headers.TryAddWithoutValidation("Authorization", "Bearer <token>");
request.Headers.TryAddWithoutValidation("Content-Type", "application/json");
request.Content = new StringContent("{\n  \"model\": \"xai/grok-imagine\",\n  \"prompt\": \"A cinematic tracking shot through a neon-lit street at night\",\n  \"duration\": 6,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\"\n}", Encoding.UTF8, "application/json");
using var response = await client.SendAsync(request);
Console.WriteLine(await response.Content.ReadAsStringAsync());

curl --request POST \
  --url https://api.neural4d.com/openapi/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "bytedance/seedance-2.0",
  "prompt": "The camera slowly pushes in while soft wind moves the leaves",
  "frame_images": [
    {
      "type": "image",
      "frame_type": "first_frame",
      "file_id": "550e8400-e29b-41d4-a716-446655440000"
    }
  ],
  "duration": 5,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "output_with_audio": true
}
'

import requests

response = requests.request(
    "POST",
    "https://api.neural4d.com/openapi/v1/videos/generations",
    headers={
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json",
    },
    json={
      "model": "bytedance/seedance-2.0",
      "prompt": "The camera slowly pushes in while soft wind moves the leaves",
      "frame_images": [
        {
          "type": "image",
          "frame_type": "first_frame",
          "file_id": "550e8400-e29b-41d4-a716-446655440000"
        }
      ],
      "duration": 5,
      "n": 1,
      "resolution": "720p",
      "aspect_ratio": "16:9",
      "output_with_audio": true
    },
)
print(response.json())

const response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "bytedance/seedance-2.0",
    "prompt": "The camera slowly pushes in while soft wind moves the leaves",
    "frame_images": [
      {
        "type": "image",
        "frame_type": "first_frame",
        "file_id": "550e8400-e29b-41d4-a716-446655440000"
      }
    ],
    "duration": 5,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "output_with_audio": true
  }),
});
const data = await response.json();
console.log(data);

const response: Response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "bytedance/seedance-2.0",
    "prompt": "The camera slowly pushes in while soft wind moves the leaves",
    "frame_images": [
      {
        "type": "image",
        "frame_type": "first_frame",
        "file_id": "550e8400-e29b-41d4-a716-446655440000"
      }
    ],
    "duration": 5,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "output_with_audio": true
  }),
});
const data = await response.json();
console.log(data);

import java.net.URI;
import java.net.http.*;

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.neural4d.com/openapi/v1/videos/generations"))
    .header("Authorization", "Bearer <token>")
    .header("Content-Type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n      \"model\": \"bytedance/seedance-2.0\",\n      \"prompt\": \"The camera slowly pushes in while soft wind moves the leaves\",\n      \"frame_images\": [\n        {\n          \"type\": \"image\",\n          \"frame_type\": \"first_frame\",\n          \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n        }\n      ],\n      \"duration\": 5,\n      \"n\": 1,\n      \"resolution\": \"720p\",\n      \"aspect_ratio\": \"16:9\",\n      \"output_with_audio\": true\n    }"))
    .build();
HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

package main

import (
  "fmt"
  "io"
  "net/http"
  "strings"
)

payload := strings.NewReader("{\n  \"model\": \"bytedance/seedance-2.0\",\n  \"prompt\": \"The camera slowly pushes in while soft wind moves the leaves\",\n  \"frame_images\": [\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"first_frame\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    }\n  ],\n  \"duration\": 5,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}")
req, _ := http.NewRequest("POST", "https://api.neural4d.com/openapi/v1/videos/generations", payload)
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
bodyBytes, _ := io.ReadAll(resp.Body)
fmt.Println(string(bodyBytes))

require "net/http"
require "json"

uri = URI("https://api.neural4d.com/openapi/v1/videos/generations")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = {
  "model": "bytedance/seedance-2.0",
  "prompt": "The camera slowly pushes in while soft wind moves the leaves",
  "frame_images": [
    {
      "type": "image",
      "frame_type": "first_frame",
      "file_id": "550e8400-e29b-41d4-a716-446655440000"
    }
  ],
  "duration": 5,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "output_with_audio": true
}.to_json

response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == "https") { |http| http.request(request) }
puts response.body

<?php

$ch = curl_init("https://api.neural4d.com/openapi/v1/videos/generations");
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => "POST",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => ["Authorization: Bearer <token>", "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => "{\n  \"model\": \"bytedance/seedance-2.0\",\n  \"prompt\": \"The camera slowly pushes in while soft wind moves the leaves\",\n  \"frame_images\": [\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"first_frame\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    }\n  ],\n  \"duration\": 5,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}",
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;

using System.Net.Http;
using System.Text;

using var client = new HttpClient();
using var request = new HttpRequestMessage(HttpMethod.Post, "https://api.neural4d.com/openapi/v1/videos/generations");
request.Headers.TryAddWithoutValidation("Authorization", "Bearer <token>");
request.Headers.TryAddWithoutValidation("Content-Type", "application/json");
request.Content = new StringContent("{\n  \"model\": \"bytedance/seedance-2.0\",\n  \"prompt\": \"The camera slowly pushes in while soft wind moves the leaves\",\n  \"frame_images\": [\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"first_frame\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    }\n  ],\n  \"duration\": 5,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}", Encoding.UTF8, "application/json");
using var response = await client.SendAsync(request);
Console.WriteLine(await response.Content.ReadAsStringAsync());

curl --request POST \
  --url https://api.neural4d.com/openapi/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "bytedance/seedance-2.0-fast",
  "prompt": "Move naturally from the opening frame to the closing frame",
  "frame_images": [
    {
      "type": "image",
      "frame_type": "first_frame",
      "file_id": "550e8400-e29b-41d4-a716-446655440000"
    },
    {
      "type": "image",
      "frame_type": "last_frame",
      "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
    }
  ],
  "duration": 5,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "output_with_audio": true
}
'

import requests

response = requests.request(
    "POST",
    "https://api.neural4d.com/openapi/v1/videos/generations",
    headers={
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json",
    },
    json={
      "model": "bytedance/seedance-2.0-fast",
      "prompt": "Move naturally from the opening frame to the closing frame",
      "frame_images": [
        {
          "type": "image",
          "frame_type": "first_frame",
          "file_id": "550e8400-e29b-41d4-a716-446655440000"
        },
        {
          "type": "image",
          "frame_type": "last_frame",
          "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
        }
      ],
      "duration": 5,
      "n": 1,
      "resolution": "720p",
      "aspect_ratio": "16:9",
      "output_with_audio": true
    },
)
print(response.json())

const response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "bytedance/seedance-2.0-fast",
    "prompt": "Move naturally from the opening frame to the closing frame",
    "frame_images": [
      {
        "type": "image",
        "frame_type": "first_frame",
        "file_id": "550e8400-e29b-41d4-a716-446655440000"
      },
      {
        "type": "image",
        "frame_type": "last_frame",
        "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
      }
    ],
    "duration": 5,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "output_with_audio": true
  }),
});
const data = await response.json();
console.log(data);

const response: Response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "bytedance/seedance-2.0-fast",
    "prompt": "Move naturally from the opening frame to the closing frame",
    "frame_images": [
      {
        "type": "image",
        "frame_type": "first_frame",
        "file_id": "550e8400-e29b-41d4-a716-446655440000"
      },
      {
        "type": "image",
        "frame_type": "last_frame",
        "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
      }
    ],
    "duration": 5,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "output_with_audio": true
  }),
});
const data = await response.json();
console.log(data);

import java.net.URI;
import java.net.http.*;

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.neural4d.com/openapi/v1/videos/generations"))
    .header("Authorization", "Bearer <token>")
    .header("Content-Type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n      \"model\": \"bytedance/seedance-2.0-fast\",\n      \"prompt\": \"Move naturally from the opening frame to the closing frame\",\n      \"frame_images\": [\n        {\n          \"type\": \"image\",\n          \"frame_type\": \"first_frame\",\n          \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n        },\n        {\n          \"type\": \"image\",\n          \"frame_type\": \"last_frame\",\n          \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n        }\n      ],\n      \"duration\": 5,\n      \"n\": 1,\n      \"resolution\": \"720p\",\n      \"aspect_ratio\": \"16:9\",\n      \"output_with_audio\": true\n    }"))
    .build();
HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

package main

import (
  "fmt"
  "io"
  "net/http"
  "strings"
)

payload := strings.NewReader("{\n  \"model\": \"bytedance/seedance-2.0-fast\",\n  \"prompt\": \"Move naturally from the opening frame to the closing frame\",\n  \"frame_images\": [\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"first_frame\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    },\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"last_frame\",\n      \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n    }\n  ],\n  \"duration\": 5,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}")
req, _ := http.NewRequest("POST", "https://api.neural4d.com/openapi/v1/videos/generations", payload)
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
bodyBytes, _ := io.ReadAll(resp.Body)
fmt.Println(string(bodyBytes))

require "net/http"
require "json"

uri = URI("https://api.neural4d.com/openapi/v1/videos/generations")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = {
  "model": "bytedance/seedance-2.0-fast",
  "prompt": "Move naturally from the opening frame to the closing frame",
  "frame_images": [
    {
      "type": "image",
      "frame_type": "first_frame",
      "file_id": "550e8400-e29b-41d4-a716-446655440000"
    },
    {
      "type": "image",
      "frame_type": "last_frame",
      "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
    }
  ],
  "duration": 5,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "output_with_audio": true
}.to_json

response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == "https") { |http| http.request(request) }
puts response.body

<?php

$ch = curl_init("https://api.neural4d.com/openapi/v1/videos/generations");
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => "POST",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => ["Authorization: Bearer <token>", "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => "{\n  \"model\": \"bytedance/seedance-2.0-fast\",\n  \"prompt\": \"Move naturally from the opening frame to the closing frame\",\n  \"frame_images\": [\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"first_frame\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    },\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"last_frame\",\n      \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n    }\n  ],\n  \"duration\": 5,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}",
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;

using System.Net.Http;
using System.Text;

using var client = new HttpClient();
using var request = new HttpRequestMessage(HttpMethod.Post, "https://api.neural4d.com/openapi/v1/videos/generations");
request.Headers.TryAddWithoutValidation("Authorization", "Bearer <token>");
request.Headers.TryAddWithoutValidation("Content-Type", "application/json");
request.Content = new StringContent("{\n  \"model\": \"bytedance/seedance-2.0-fast\",\n  \"prompt\": \"Move naturally from the opening frame to the closing frame\",\n  \"frame_images\": [\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"first_frame\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    },\n    {\n      \"type\": \"image\",\n      \"frame_type\": \"last_frame\",\n      \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n    }\n  ],\n  \"duration\": 5,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}", Encoding.UTF8, "application/json");
using var response = await client.SendAsync(request);
Console.WriteLine(await response.Content.ReadAsStringAsync());

curl --request POST \
  --url https://api.neural4d.com/openapi/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "google/veo-3.1",
  "prompt": "Create a cohesive cinematic sequence using the supplied references",
  "input_references": [
    {
      "type": "image",
      "file_id": "550e8400-e29b-41d4-a716-446655440000"
    },
    {
      "type": "video",
      "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
    },
    {
      "type": "audio",
      "file_id": "7d1fa4bb-41e6-4a5d-88d8-1851f5342e87"
    }
  ],
  "duration": 8,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "output_with_audio": true
}
'

import requests

response = requests.request(
    "POST",
    "https://api.neural4d.com/openapi/v1/videos/generations",
    headers={
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json",
    },
    json={
      "model": "google/veo-3.1",
      "prompt": "Create a cohesive cinematic sequence using the supplied references",
      "input_references": [
        {
          "type": "image",
          "file_id": "550e8400-e29b-41d4-a716-446655440000"
        },
        {
          "type": "video",
          "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
        },
        {
          "type": "audio",
          "file_id": "7d1fa4bb-41e6-4a5d-88d8-1851f5342e87"
        }
      ],
      "duration": 8,
      "n": 1,
      "resolution": "720p",
      "aspect_ratio": "16:9",
      "output_with_audio": true
    },
)
print(response.json())

const response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/veo-3.1",
    "prompt": "Create a cohesive cinematic sequence using the supplied references",
    "input_references": [
      {
        "type": "image",
        "file_id": "550e8400-e29b-41d4-a716-446655440000"
      },
      {
        "type": "video",
        "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
      },
      {
        "type": "audio",
        "file_id": "7d1fa4bb-41e6-4a5d-88d8-1851f5342e87"
      }
    ],
    "duration": 8,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "output_with_audio": true
  }),
});
const data = await response.json();
console.log(data);

const response: Response = await fetch("https://api.neural4d.com/openapi/v1/videos/generations", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/veo-3.1",
    "prompt": "Create a cohesive cinematic sequence using the supplied references",
    "input_references": [
      {
        "type": "image",
        "file_id": "550e8400-e29b-41d4-a716-446655440000"
      },
      {
        "type": "video",
        "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
      },
      {
        "type": "audio",
        "file_id": "7d1fa4bb-41e6-4a5d-88d8-1851f5342e87"
      }
    ],
    "duration": 8,
    "n": 1,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "output_with_audio": true
  }),
});
const data = await response.json();
console.log(data);

import java.net.URI;
import java.net.http.*;

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.neural4d.com/openapi/v1/videos/generations"))
    .header("Authorization", "Bearer <token>")
    .header("Content-Type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n      \"model\": \"google/veo-3.1\",\n      \"prompt\": \"Create a cohesive cinematic sequence using the supplied references\",\n      \"input_references\": [\n        {\n          \"type\": \"image\",\n          \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n        },\n        {\n          \"type\": \"video\",\n          \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n        },\n        {\n          \"type\": \"audio\",\n          \"file_id\": \"7d1fa4bb-41e6-4a5d-88d8-1851f5342e87\"\n        }\n      ],\n      \"duration\": 8,\n      \"n\": 1,\n      \"resolution\": \"720p\",\n      \"aspect_ratio\": \"16:9\",\n      \"output_with_audio\": true\n    }"))
    .build();
HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

package main

import (
  "fmt"
  "io"
  "net/http"
  "strings"
)

payload := strings.NewReader("{\n  \"model\": \"google/veo-3.1\",\n  \"prompt\": \"Create a cohesive cinematic sequence using the supplied references\",\n  \"input_references\": [\n    {\n      \"type\": \"image\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    },\n    {\n      \"type\": \"video\",\n      \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n    },\n    {\n      \"type\": \"audio\",\n      \"file_id\": \"7d1fa4bb-41e6-4a5d-88d8-1851f5342e87\"\n    }\n  ],\n  \"duration\": 8,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}")
req, _ := http.NewRequest("POST", "https://api.neural4d.com/openapi/v1/videos/generations", payload)
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
bodyBytes, _ := io.ReadAll(resp.Body)
fmt.Println(string(bodyBytes))

require "net/http"
require "json"

uri = URI("https://api.neural4d.com/openapi/v1/videos/generations")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = {
  "model": "google/veo-3.1",
  "prompt": "Create a cohesive cinematic sequence using the supplied references",
  "input_references": [
    {
      "type": "image",
      "file_id": "550e8400-e29b-41d4-a716-446655440000"
    },
    {
      "type": "video",
      "file_id": "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
    },
    {
      "type": "audio",
      "file_id": "7d1fa4bb-41e6-4a5d-88d8-1851f5342e87"
    }
  ],
  "duration": 8,
  "n": 1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "output_with_audio": true
}.to_json

response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == "https") { |http| http.request(request) }
puts response.body

<?php

$ch = curl_init("https://api.neural4d.com/openapi/v1/videos/generations");
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => "POST",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => ["Authorization: Bearer <token>", "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => "{\n  \"model\": \"google/veo-3.1\",\n  \"prompt\": \"Create a cohesive cinematic sequence using the supplied references\",\n  \"input_references\": [\n    {\n      \"type\": \"image\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    },\n    {\n      \"type\": \"video\",\n      \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n    },\n    {\n      \"type\": \"audio\",\n      \"file_id\": \"7d1fa4bb-41e6-4a5d-88d8-1851f5342e87\"\n    }\n  ],\n  \"duration\": 8,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}",
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;

using System.Net.Http;
using System.Text;

using var client = new HttpClient();
using var request = new HttpRequestMessage(HttpMethod.Post, "https://api.neural4d.com/openapi/v1/videos/generations");
request.Headers.TryAddWithoutValidation("Authorization", "Bearer <token>");
request.Headers.TryAddWithoutValidation("Content-Type", "application/json");
request.Content = new StringContent("{\n  \"model\": \"google/veo-3.1\",\n  \"prompt\": \"Create a cohesive cinematic sequence using the supplied references\",\n  \"input_references\": [\n    {\n      \"type\": \"image\",\n      \"file_id\": \"550e8400-e29b-41d4-a716-446655440000\"\n    },\n    {\n      \"type\": \"video\",\n      \"file_id\": \"6ba7b810-9dad-11d1-80b4-00c04fd430c8\"\n    },\n    {\n      \"type\": \"audio\",\n      \"file_id\": \"7d1fa4bb-41e6-4a5d-88d8-1851f5342e87\"\n    }\n  ],\n  \"duration\": 8,\n  \"n\": 1,\n  \"resolution\": \"720p\",\n  \"aspect_ratio\": \"16:9\",\n  \"output_with_audio\": true\n}", Encoding.UTF8, "application/json");
using var response = await client.SendAsync(request);
Console.WriteLine(await response.Content.ReadAsStringAsync());

{
  "id": "normal-video-c50fe63e-699d-4d61-93f5-2099ab159d6d",
  "status": "queued",
  "created_at": 1784044800,
  "mode": "text_to_video",
  "model": "xai/grok-imagine",
  "data": [
    {
      "uuid": "7d1fa4bb-41e6-4a5d-88d8-1851f5342e87",
      "status": "queued",
      "created_at": 1784044800
    }
  ],
  "usage": {
    "credits": 90
  }
}

{
  "error": {
    "code": "invalid_prompt",
    "message": "prompt is required and must be a non-empty string"
  }
}

{
  "error": {
    "code": "unsupported_model",
    "message": "Unsupported modelKey: missing-model"
  }
}

{
  "error": {
    "code": "model_unavailable",
    "message": "Model is unavailable: veo-3.1"
  }
}

{
  "error": {
    "code": "invalid_api_key",
    "message": "The API key is invalid or expired"
  }
}

{
  "error": {
    "code": "insufficient_credits",
    "message": "Insufficient credits for video generation"
  }
}

{
  "error": {
    "code": "reference_too_large",
    "message": "Reference file exceeds the allowed size"
  }
}

{
  "error": {
    "code": "rate_limit_exceeded",
    "message": "Too many requests. Retry after the indicated interval."
  }
}

{
  "error": {
    "code": "internal_error",
    "message": "An internal error occurred"
  }
}