> ## Documentation Index
> Fetch the complete documentation index at: https://docs.apimart.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# wan2.7 Pembuatan & Pengeditan Gambar

>  - Seri gambar Wan2.7: mendukung text-to-image, pengeditan gambar, pengeditan interaktif, pembuatan sekuensial, dan referensi multi-gambar
- Mode pemrosesan asinkron — kirim tugas dan polling hasil menggunakan task_id yang dikembalikan
- Mendukung resolusi 1K / 2K / 4K; wan2.7-image-pro mendukung hingga 4K untuk text-to-image
- Penagihan didasarkan pada jumlah gambar yang berhasil dibuat, terlepas dari resolusi atau rasio aspek 

<RequestExample>
  ```bash cURL theme={null}
  curl --request POST \
    --url https://api.apimart.ai/v1/images/generations \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "wan2.7-image-pro",
      "prompt": "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
    }'
  ```

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

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

  payload = {
      "model": "wan2.7-image-pro",
      "prompt": "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
  }

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

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

  print(response.json())
  ```

  ```javascript JavaScript theme={null}
  const url = "https://api.apimart.ai/v1/images/generations";

  const payload = {
    model: "wan2.7-image-pro",
    prompt: "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
  };

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

  fetch(url, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(payload)
  })
    .then(response => response.json())
    .then(data => console.log(data))
    .catch(error => console.error('Error:', error));
  ```

  ```go Go theme={null}
  package main

  import (
      "bytes"
      "encoding/json"
      "fmt"
      "io/ioutil"
      "net/http"
  )

  func main() {
      url := "https://api.apimart.ai/v1/images/generations"

      payload := map[string]interface{}{
          "model":  "wan2.7-image-pro",
          "prompt": "A flower shop with exquisite windows, beautiful wooden door, flowers on display",
      }

      jsonData, _ := json.Marshal(payload)

      req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
      req.Header.Set("Authorization", "Bearer <token>")
      req.Header.Set("Content-Type", "application/json")

      client := &http.Client{}
      resp, err := client.Do(req)
      if err != nil {
          panic(err)
      }
      defer resp.Body.Close()

      body, _ := ioutil.ReadAll(resp.Body)
      fmt.Println(string(body))
  }
  ```

  ```java Java theme={null}
  import java.net.http.HttpClient;
  import java.net.http.HttpRequest;
  import java.net.http.HttpResponse;
  import java.net.URI;

  public class Main {
      public static void main(String[] args) throws Exception {
          String payload = """
          {
            "model": "wan2.7-image-pro",
            "prompt": "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
          }
          """;

          HttpClient client = HttpClient.newHttpClient();
          HttpRequest request = HttpRequest.newBuilder()
              .uri(URI.create("https://api.apimart.ai/v1/images/generations"))
              .header("Authorization", "Bearer <token>")
              .header("Content-Type", "application/json")
              .POST(HttpRequest.BodyPublishers.ofString(payload))
              .build();

          System.out.println(client.send(request,
              HttpResponse.BodyHandlers.ofString()).body());
      }
  }
  ```

  ```php PHP theme={null}
  <?php

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

  $payload = [
      "model" => "wan2.7-image-pro",
      "prompt" => "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
  ];

  $ch = curl_init($url);
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
  curl_setopt($ch, CURLOPT_POST, true);
  curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
  curl_setopt($ch, CURLOPT_HTTPHEADER, [
      "Authorization: Bearer <token>",
      "Content-Type: application/json"
  ]);

  $response = curl_exec($ch);
  curl_close($ch);

  echo $response;
  ?>
  ```

  ```ruby Ruby theme={null}
  require 'net/http'
  require 'json'
  require 'uri'

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

  payload = {
    model: "wan2.7-image-pro",
    prompt: "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
  }

  http = Net::HTTP.new(url.host, url.port)
  http.use_ssl = true

  request = Net::HTTP::Post.new(url)
  request["Authorization"] = "Bearer <token>"
  request["Content-Type"] = "application/json"
  request.body = payload.to_json

  response = http.request(request)
  puts response.body
  ```

  ```swift Swift theme={null}
  import Foundation

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

  let payload: [String: Any] = [
      "model": "wan2.7-image-pro",
      "prompt": "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
  ]

  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 str = String(data: data, encoding: .utf8) { print(str) }
  }
  task.resume()
  ```

  ```csharp C# theme={null}
  using System;
  using System.Net.Http;
  using System.Text;
  using System.Threading.Tasks;

  class Program
  {
      static async Task Main(string[] args)
      {
          var payload = @"{
              ""model"": ""wan2.7-image-pro"",
              ""prompt"": ""A flower shop with exquisite windows, beautiful wooden door, flowers on display""
          }";

          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(
              "https://api.apimart.ai/v1/images/generations", content);
          Console.WriteLine(await response.Content.ReadAsStringAsync());
      }
  }
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "code": "success",
    "data": [
      {
        "task_id": "task_01HX...",
        "status": "processing"
      }
    ]
  }
  ```

  ```json 400 theme={null}
  {
    "error": {
      "code": 400,
      "message": "Invalid request parameters",
      "type": "invalid_request_error"
    }
  }
  ```

  ```json 401 theme={null}
  {
    "error": {
      "code": 401,
      "message": "Authentication failed. Please check your API key.",
      "type": "authentication_error"
    }
  }
  ```

  ```json 402 theme={null}
  {
    "error": {
      "code": 402,
      "message": "Insufficient balance. Please top up your account.",
      "type": "payment_required"
    }
  }
  ```

  ```json 429 theme={null}
  {
    "error": {
      "code": 429,
      "message": "Too many requests. Please try again later.",
      "type": "rate_limit_error"
    }
  }
  ```

  ```json 500 theme={null}
  {
    "error": {
      "code": 500,
      "message": "Internal server error. Please try again later.",
      "type": "server_error"
    }
  }
  ```
</ResponseExample>

## Otorisasi

<ParamField header="Authorization" type="string" required>
  Semua permintaan memerlukan autentikasi Bearer Token.

  Kunjungi [halaman Manajemen API Key](https://apimart.ai/keys) untuk memperoleh API Key Anda, lalu tambahkan ke header permintaan:

  ```
  Authorization: Bearer YOUR_API_KEY
  ```
</ParamField>

## Model yang Tersedia

| Model              | Deskripsi                                          | Resolusi Maks (Text-to-Image) | Resolusi Maks (Edit / Sekuensial) | Harga          |
| ------------------ | -------------------------------------------------- | :---------------------------: | :-------------------------------: | -------------- |
| `wan2.7-image-pro` | Edisi profesional, detail lebih baik, mendukung 4K |               4K              |                 2K                | ¥0.50 / gambar |
| `wan2.7-image`     | Edisi standar, pembuatan lebih cepat               |               2K              |                 2K                | ¥0.20 / gambar |

<Note>
  Penagihan didasarkan pada **gambar yang berhasil dibuat × harga satuan**. Input tidak ditagih. Resolusi dan rasio aspek tidak memengaruhi harga. Permintaan yang gagal tidak dikenakan biaya.
</Note>

## Body

<ParamField body="model" type="string" required>
  Nama model pembuatan gambar.

  * `wan2.7-image-pro` — Edisi profesional, hingga 4K untuk text-to-image
  * `wan2.7-image` — Edisi standar, lebih cepat, hingga 2K
</ParamField>

<ParamField body="prompt" type="string">
  Deskripsi teks untuk pembuatan gambar, hingga 5000 karakter.

  * **Text-to-image** (tanpa `image_urls`): wajib
  * **Pengeditan gambar** (dengan `image_urls`): opsional tetapi direkomendasikan

  Contoh: `"Toko bunga dengan jendela indah, pintu kayu cantik, dan bunga yang dipajang"`
</ParamField>

<ParamField body="image_urls" type="array<string>">
  Array URL gambar input untuk skenario pengeditan dan referensi multi-gambar.

  Menyediakan bidang ini akan mengalihkan permintaan ke **mode pengeditan gambar**.

  **Format yang didukung:** URL HTTP/HTTPS; `data:image/...;base64,...` Base64

  **Batasan:** Hingga 9 gambar; JPEG / PNG / WEBP / BMP; 240–8000 px, rasio aspek 1:8 \~ 8:1; ≤ 20MB per gambar

  <Note>
    Rasio aspek output otomatis mengikuti gambar input **terakhir**. Mode pengeditan hanya mendukung hingga 2K — 4K tidak tersedia.
  </Note>
</ParamField>

<ParamField body="n" type="integer" default="1">
  Jumlah gambar yang akan dibuat.

  * **Mode standar**: 1–4 (default 1)
  * **Mode sekuensial** (`enable_sequential: true`): 1–12 (default 1)

  <Note>Ditagih per gambar yang berhasil dibuat. Dikenakan biaya di muka berdasarkan `n`.</Note>
</ParamField>

<ParamField body="size" type="string">
  Resolusi output atau rasio aspek. Mendukung tiga format:

  **① Kata kunci resolusi (direkomendasikan):** `1K` / `2K` (default) / `4K` (`wan2.7-image-pro` khusus text-to-image)

  **② Rasio aspek:** `1:1` / `16:9` / `9:16` / `4:3` / `3:4` / `3:2` / `2:3` (default ke tier 2K)

  **③ Dimensi piksel:** `1024x1024` atau `1024*1024`
</ParamField>

<ParamField body="resolution" type="string">
  Kata kunci tier resolusi: `1K` / `2K` / `4K`. Dapat digabungkan dengan `size` (rasio aspek).

  | Model              | Skenario                       | Tier yang Didukung | Rentang Piksel       |
  | ------------------ | ------------------------------ | :----------------: | -------------------- |
  | `wan2.7-image-pro` | Text-to-image (non-sekuensial) |  1K / **2K** / 4K  | 768×768 \~ 4096×4096 |
  | `wan2.7-image-pro` | Pengeditan / sekuensial        |     1K / **2K**    | 768×768 \~ 2048×2048 |
  | `wan2.7-image`     | Semua skenario                 |     1K / **2K**    | 768×768 \~ 2048×2048 |
</ParamField>

<ParamField body="negative_prompt" type="string">
  Prompt negatif yang menjelaskan elemen yang perlu dihindari. Contoh: `"buram, terdistorsi, kualitas rendah"`
</ParamField>

<ParamField body="watermark" type="boolean" default="false">
  Apakah akan menambahkan watermark "AI Generated" di sudut kanan bawah.
</ParamField>

<ParamField body="seed" type="integer">
  Seed acak, range 0–2147483647. Seed yang sama dengan parameter identik menghasilkan hasil yang konsisten secara visual.
</ParamField>

<ParamField body="thinking_mode" type="boolean" default="true">
  Aktifkan mode penalaran yang ditingkatkan untuk memperbaiki kualitas gambar dengan konsekuensi waktu pembuatan lebih lama.

  <Note>Hanya efektif saat **mode sekuensial dinonaktifkan** dan **tidak ada input gambar** yang diberikan.</Note>
</ParamField>

<ParamField body="enable_sequential" type="boolean" default="false">
  Aktifkan mode **pembuatan gambar sekuensial** — membuat beberapa gambar yang koheren secara tematik dalam satu permintaan. Ideal untuk storyboard dan seri.

  * Maksimum `n` is 12 when enabled
  * `thinking_mode` dan `color_palette` diabaikan dalam mode sekuensial
  * `wan2.7-image-pro` mendukung hingga 2K dalam mode sekuensial (4K tidak didukung)
</ParamField>

<ParamField body="bbox_list" type="array">
  Bounding box untuk pengeditan interaktif — menentukan wilayah persis yang akan diedit atau disisipkan konten.

  **Structure:** `[[[x1, y1, x2, y2], ...], ...]`

  * Panjang array luar harus sama dengan panjang `image_urls`
  * Berikan `[]` untuk gambar tanpa bounding box
  * Maksimum 2 box per gambar; koordinat adalah nilai piksel absolut, origin (0,0) berada di kiri atas

  Contoh: `[[], [[989, 515, 1138, 681]]]`
</ParamField>

<ParamField body="color_palette" type="array<object>">
  Tema warna kustom. **Hanya mode standar** (bukan mode sekuensial).

  * 3–10 entri (8 direkomendasikan); setiap entri memerlukan `hex` dan `ratio`
  * Semua nilai `ratio` harus berjumlah tepat `100.00%`

  ```json theme={null}
  [
    { "hex": "#C2D1E6", "ratio": "23.51%" },
    { "hex": "#636574", "ratio": "76.49%" }
  ]
  ```
</ParamField>

## Respons

<ResponseField name="code" type="string">
  Status respons. Mengembalikan `"success"` saat berhasil.
</ResponseField>

<ResponseField name="data" type="array">
  <Expandable title="Elemen Array">
    <ResponseField name="task_id" type="string">
      Pengidentifikasi unik tugas yang digunakan untuk mengueri hasil pembuatan.
    </ResponseField>

    <ResponseField name="status" type="string">
      Status awal tugas, selalu `processing` saat dikirim.
    </ResponseField>
  </Expandable>
</ResponseField>

## Contoh

### Teks-ke-Gambar (minimal)

```json theme={null}
{
  "model": "wan2.7-image-pro",
  "prompt": "A flower shop with exquisite windows, beautiful wooden door, flowers on display"
}
```

### Teks-ke-Gambar (dengan resolusi)

```json theme={null}
{
  "model": "wan2.7-image-pro",
  "prompt": "Summer beach, blue sky and white clouds, 4K ultra HD",
  "size": "4K",
  "thinking_mode": true
}
```

### Teks-ke-Gambar (palet warna kustom)

```json theme={null}
{
  "model": "wan2.7-image-pro",
  "prompt": "Minimalist modern living room",
  "size": "2K",
  "color_palette": [
    { "hex": "#C2D1E6", "ratio": "23.51%" },
    { "hex": "#CDD8E9", "ratio": "20.13%" },
    { "hex": "#B5C8DB", "ratio": "15.88%" },
    { "hex": "#C0B5B4", "ratio": "13.27%" },
    { "hex": "#DAE0EC", "ratio": "10.11%" },
    { "hex": "#636574", "ratio": "8.93%" },
    { "hex": "#CACAD2", "ratio": "5.55%" },
    { "hex": "#CBD4E4", "ratio": "2.62%" }
  ]
}
```

### Sequential Pembuatan Gambar

```json theme={null}
{
  "model": "wan2.7-image-pro",
  "prompt": "Cinematic series: the same stray orange cat, consistent features. First: under cherry blossoms in spring. Second: old street shade in summer. Third: fallen leaves in autumn. Fourth: snow footprints in winter.",
  "enable_sequential": true,
  "n": 4,
  "size": "2K"
}
```

### Pengeditan Satu Gambar

```json theme={null}
{
  "model": "wan2.7-image",
  "prompt": "Replace the background with a sunset scene, warm color tones",
  "image_urls": ["https://example.com/portrait.jpg"],
  "size": "2K"
}
```

### Referensi Multi-Gambar / Fusi Elemen

```json theme={null}
{
  "model": "wan2.7-image-pro",
  "prompt": "Apply the graffiti from image 2 onto the car in image 1",
  "image_urls": [
    "https://example.com/car.webp",
    "https://example.com/paint.webp"
  ],
  "size": "2K"
}
```

### Pengeditan Interaktif (Bounding Box)

`bbox_list` berkorespondensi 1-ke-1 dengan `image_urls`. Berikan `[]` untuk gambar tanpa pilihan.

```json theme={null}
{
  "model": "wan2.7-image-pro",
  "prompt": "Place the alarm clock from image 1 into the selected area of image 2, blending naturally",
  "image_urls": [
    "https://example.com/clock.webp",
    "https://example.com/desk.webp"
  ],
  "bbox_list": [
    [],
    [[989, 515, 1138, 681]]
  ],
  "size": "2K"
}
```

<Note>
  **Mengueri Hasil**

  Pembuatan gambar bersifat asinkron. Polling endpoint [Status Tugas](/id/api-reference/tasks/status) menggunakan `task_id` hingga `status == completed`.
</Note>