> ## 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.

# Seedream-5.0-Pro Image Generation

>  - Asynchronous processing mode, returns a task ID for subsequent queries
- Supports text-to-image, single-image-to-image, and multi-reference image-to-image (up to 10 reference images)
- Supports 1K / 1.5K / 2K resolution tiers, or exact pixels via `size`
- Single-image model: one image per request; PNG / JPEG output
- Generated image links are valid for 72 hours; please save them promptly 

<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": "doubao-seedream-5-0-pro",
      "prompt": "A cyberpunk city night scene, neon lights reflecting on wet streets",
      "size": "16:9",
      "resolution": "2K"
    }'
  ```

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

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

  payload = {
      "model": "doubao-seedream-5-0-pro",
      "prompt": "A cyberpunk city night scene, neon lights reflecting on wet streets",
      "size": "16:9",
      "resolution": "2K"
  }

  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: "doubao-seedream-5-0-pro",
    prompt: "A cyberpunk city night scene, neon lights reflecting on wet streets",
    size: "16:9",
    resolution: "2K"
  };

  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":      "doubao-seedream-5-0-pro",
          "prompt":     "A cyberpunk city night scene, neon lights reflecting on wet streets",
          "size":       "16:9",
          "resolution": "2K",
      }

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

          String payload = """
          {
            "model": "doubao-seedream-5-0-pro",
            "prompt": "A cyberpunk city night scene, neon lights reflecting on wet streets",
            "size": "16:9",
            "resolution": "2K"
          }
          """;

          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 PHP theme={null}
  <?php

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

  $payload = [
      "model" => "doubao-seedream-5-0-pro",
      "prompt" => "A cyberpunk city night scene, neon lights reflecting on wet streets",
      "size" => "16:9",
      "resolution" => "2K"
  ];

  $ch = curl_init($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: "doubao-seedream-5-0-pro",
    prompt: "A cyberpunk city night scene, neon lights reflecting on wet streets",
    size: "16:9",
    resolution: "2K"
  }

  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": "doubao-seedream-5-0-pro",
      "prompt": "A cyberpunk city night scene, neon lights reflecting on wet streets",
      "size": "16:9",
      "resolution": "2K"
  ]

  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()
  ```

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

          var payload = @"{
              ""model"": ""doubao-seedream-5-0-pro"",
              ""prompt"": ""A cyberpunk city night scene, neon lights reflecting on wet streets"",
              ""size"": ""16:9"",
              ""resolution"": ""2K""
          }";

          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);
      }
  }
  ```

  ```c C theme={null}
  #include <stdio.h>
  #include <curl/curl.h>

  int main(void) {
      CURL *curl;
      CURLcode res;

      curl_global_init(CURL_GLOBAL_DEFAULT);
      curl = curl_easy_init();

      if(curl) {
          const char *url = "https://api.apimart.ai/v1/images/generations";
          const char *payload = "{"
              "\"model\":\"doubao-seedream-5-0-pro\","
              "\"prompt\":\"A cyberpunk city night scene, neon lights reflecting on wet streets\","
              "\"size\":\"16:9\","
              "\"resolution\":\"2K\""
          "}";

          struct curl_slist *headers = NULL;
          headers = curl_slist_append(headers, "Authorization: Bearer <token>");
          headers = curl_slist_append(headers, "Content-Type: application/json");

          curl_easy_setopt(curl, CURLOPT_URL, url);
          curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
          curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);

          res = curl_easy_perform(curl);

          if(res != CURLE_OK) {
              fprintf(stderr, "curl_easy_perform() failed: %s\n",
                      curl_easy_strerror(res));
          }

          curl_slist_free_all(headers);
          curl_easy_cleanup(curl);
      }

      curl_global_cleanup();
      return 0;
  }
  ```

  ```objectivec Objective-C theme={null}
  #import <Foundation/Foundation.h>

  int main(int argc, const char * argv[]) {
      @autoreleasepool {
          NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/images/generations"];

          NSDictionary *payload = @{
              @"model": @"doubao-seedream-5-0-pro",
              @"prompt": @"A cyberpunk city night scene, neon lights reflecting on wet streets",
              @"size": @"16:9",
              @"resolution": @"2K"
          };

          NSError *error;
          NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                            options:0
                                                              error:&error];

          NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
          [request setHTTPMethod:@"POST"];
          [request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
          [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
          [request setHTTPBody:jsonData];

          NSURLSessionDataTask *task = [[NSURLSession sharedSession]
              dataTaskWithRequest:request
              completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                  if (error) {
                      NSLog(@"Error: %@", error);
                      return;
                  }
                  NSString *result = [[NSString alloc] initWithData:data
                                                          encoding:NSUTF8StringEncoding];
                  NSLog(@"%@", result);
              }];

          [task resume];
          [[NSRunLoop mainRunLoop] run];
      }
      return 0;
  }
  ```

  ```ocaml OCaml theme={null}
  (* Requires cohttp and yojson libraries *)
  open Lwt
  open Cohttp
  open Cohttp_lwt_unix

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

  let payload = {|{
    "model": "doubao-seedream-5-0-pro",
    "prompt": "A cyberpunk city night scene, neon lights reflecting on wet streets",
    "size": "16:9",
    "resolution": "2K"
  }|}

  let () =
    let headers = Header.init ()
      |> fun h -> Header.add h "Authorization" "Bearer <token>"
      |> fun h -> Header.add h "Content-Type" "application/json"
    in
    let body = Cohttp_lwt.Body.of_string payload in

    let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
      body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
      print_endline body_str
    in
    Lwt_main.run response
  ```

  ```dart Dart theme={null}
  import 'dart:convert';
  import 'package:http/http.dart' as http;

  void main() async {
    final url = Uri.parse('https://api.apimart.ai/v1/images/generations');

    final payload = {
      'model': 'doubao-seedream-5-0-pro',
      'prompt': 'A cyberpunk city night scene, neon lights reflecting on wet streets',
      'size': '16:9',
      'resolution': '2K'
    };

    final response = await http.post(
      url,
      headers: {
        'Authorization': 'Bearer <token>',
        'Content-Type': 'application/json',
      },
      body: jsonEncode(payload),
    );

    print(response.body);
  }
  ```

  ```r R theme={null}
  library(httr)
  library(jsonlite)

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

  payload <- list(
    model = "doubao-seedream-5-0-pro",
    prompt = "A cyberpunk city night scene, neon lights reflecting on wet streets",
    size = "16:9",
    resolution = "2K"
  )

  response <- POST(
    url,
    add_headers(
      Authorization = "Bearer <token>",
      `Content-Type` = "application/json"
    ),
    body = toJSON(payload, auto_unbox = TRUE),
    encode = "raw"
  )

  cat(content(response, "text"))
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "code": 200,
    "data": [
      {
        "status": "submitted",
        "task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
      }
    ]
  }
  ```

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

  ```json 401 theme={null}
  {
    "error": {
      "code": 401,
      "message": "Invalid authentication credentials",
      "type": "authentication_error"
    }
  }
  ```

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

  ```json 403 theme={null}
  {
    "error": {
      "code": 403,
      "message": "Access forbidden. You don't have permission to access this resource",
      "type": "permission_error"
    }
  }
  ```

  ```json 429 theme={null}
  {
    "error": {
      "code": 429,
      "message": "Rate limit exceeded. 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"
    }
  }
  ```

  ```json 502 theme={null}
  {
    "error": {
      "code": 502,
      "message": "Bad gateway. The server is temporarily unavailable",
      "type": "bad_gateway"
    }
  }
  ```
</ResponseExample>

## Authorizations

<ParamField header="Authorization" type="string" required>
  All API endpoints require Bearer Token authentication

  Get your API Key:

  Visit the [API Key Management Page](https://apimart.ai/keys) to get your API Key

  Add it to the request header:

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

<Info>
  **Single-image model**: `doubao-seedream-5-0-pro` generates only 1 image per request. The following are **rejected** (HTTP 400, no task, no charge):

  * `n > 1`
  * `sequential_image_generation: "auto"` (group generation not supported)
  * more than 10 items in `image_urls`

  The following are **silently ignored**: `tools` (web search), `stream`, `optimize_prompt_options`.
</Info>

## Body

<ParamField body="model" type="string" default="doubao-seedream-5-0-pro" required>
  Image generation model name

  * `doubao-seedream-5-0-pro` (recommended)
  * Also accepted: `doubao-seedream-5.0-pro`
</ParamField>

<ParamField body="prompt" type="string" required>
  Text description for image generation

  > **Tip:** Keep it within 600 English words; overly long descriptions may lose detail.
</ParamField>

<ParamField body="resolution" type="string" default="1K">
  Resolution tier (lowercase accepted)

  * `1K` (default)
  * `1.5K` (same price as 1K, better quality — prefer 1.5K unless you have a reason not to)
  * `2K`

  Unsupported tiers such as 3K / 4K return 400.

  <Warning>
    When `size` is an **exact pixel value** (e.g. `2048x1024`), this field is **ignored** and dimensions come only from `size`.
  </Warning>
</ParamField>

<ParamField body="size" type="string" default="auto">
  Aspect ratio, `auto`, or **exact pixels**. Do **not** mix the two styles:

  ### Style ①: tier + aspect ratio

  Used with `resolution`. Supported ratios:

  * `1:1`, `4:3`, `3:4`, `16:9`, `9:16`, `3:2`, `2:3`, `21:9`
  * Also accepts `16x9`-style `x` separators
  * `auto` (default): only the resolution tier is applied; final aspect ratio is chosen from the prompt / references

  Ratios outside the list (e.g. `9:21`) return 400 — **no silent fallback to 1:1**.

  **Tier × ratio → output pixels:**

  | Resolution | 1:1       | 4:3       | 3:4       | 16:9      | 9:16      | 3:2       | 2:3       | 21:9      |
  | ---------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- |
  | **1K**     | 1024×1024 | 1152×864  | 864×1152  | 1312×736  | 736×1312  | 1248×832  | 832×1248  | 1568×672  |
  | **1.5K**   | 1536×1536 | 1792×1344 | 1344×1792 | 2048×1152 | 1152×2048 | 1872×1248 | 1248×1872 | 2352×1008 |
  | **2K**     | 2048×2048 | 2304×1728 | 1728×2304 | 2560×1440 | 1440×2560 | 2496×1664 | 1664×2496 | 3024×1296 |

  ### Style ②: exact pixels

  When `size` is `widthxheight`, pixels are used as-is and `resolution` does not apply. Accepts `2048X1024` / `2048×1024`.

  | Constraint                    | Range                                                        |
  | ----------------------------- | ------------------------------------------------------------ |
  | Total pixels (width × height) | `[921600, 4624220]` (about `1280×720` \~ `2048×2048×1.1025`) |
  | Aspect ratio (width / height) | `[1/16, 16]`                                                 |

  <Warning>
    Limits apply to the **product** of width and height, not each edge alone. Example: `512×512` is too small (400); `2048×1024` is valid.
  </Warning>
</ParamField>

<ParamField body="image_urls" type="array">
  Reference image URL list for single / multi-reference image-to-image, **up to 10**

  Two formats:

  **1. Public URL**

  * `http://` or `https://`
  * Example: `https://example.com/image.jpg`

  **2. Base64 (Data URI)**

  * Format: `data:image/<format>;base64,<data>` — `<format>` must be **lowercase**
  * Example: `data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg...`

  **Per-image limits:**

  * Formats: jpeg / png / webp / bmp / tiff / gif / heic / heif
  * Aspect ratio (w/h): `[1/16, 16]`
  * Each edge > 14 px
  * Size ≤ 30 MB
  * Total pixels ≤ `6000×6000` (36,000,000)

  > **Billing:** First reference image free; each additional image has a fixed surcharge.
</ParamField>

<ParamField body="output_format" type="string" default="jpeg">
  Output image format

  * `jpeg` (default)
  * `png`

  > **Compatibility:** `response_format` is equivalent to `output_format`; other values are treated as `jpeg`.
</ParamField>

<ParamField body="watermark" type="boolean" default="false">
  Whether to add an "AI generated" watermark at the bottom-right

  * `true`: add watermark
  * `false`: no watermark (default)
</ParamField>

## Request Examples

### Text-to-image (tier + ratio)

```json theme={null}
{
  "model": "doubao-seedream-5-0-pro",
  "prompt": "Cyberpunk city night scene, neon reflections on wet streets",
  "resolution": "2K",
  "size": "21:9",
  "output_format": "png"
}
```

### Text-to-image (exact pixels)

```json theme={null}
{
  "model": "doubao-seedream-5-0-pro",
  "prompt": "Minimal e-commerce hero image, white background, product centered",
  "size": "1600x1600"
}
```

### Multi-reference

```json theme={null}
{
  "model": "doubao-seedream-5-0-pro",
  "prompt": "Replace the outfit in image 1 with the outfit in image 2",
  "image_urls": [
    "https://example.com/person.jpg",
    "https://example.com/dress.jpg"
  ],
  "resolution": "2K",
  "size": "auto"
}
```

### Recommended: 1.5K same price, better quality

```json theme={null}
{
  "model": "doubao-seedream-5-0-pro",
  "prompt": "A cute orange cat on a windowsill in afternoon sun, cinematic",
  "resolution": "1.5K",
  "size": "16:9"
}
```

## Billing Notes

```
Total = output unit price + reference surcharge × max(0, ref_count − 1)
```

Output is priced by **actual total pixels** (\~2.61M = 2,601,124):

| Condition                                                                                             | Unit price          |
| ----------------------------------------------------------------------------------------------------- | ------------------- |
| ≤ 2.61 million pixels (1.5K or lower: `resolution` `1K` / `1.5K` / omit, or exact pixels ≤ 2,601,124) | **\$0.045** / image |
| > 2.61 million pixels (higher than 1.5K: `resolution: "2K"`, or exact pixels > 2,601,124)             | **\$0.09** / image  |

* **1.5K costs the same as 1K** (\$0.045).
* With exact-pixel `size`, billing uses **actual output area**; `resolution` is ignored (e.g. `size: "2048x2048"` → \$0.09).
* First reference image is free; each additional reference has a surcharge.
* Failed tasks are fully refunded.

## Common Errors

| Case                            | Notes                          |
| ------------------------------- | ------------------------------ |
| Unsupported `resolution` tier   | e.g. 3K / 4K → 400             |
| Ratio outside the list          | e.g. `9:21` → 400              |
| Exact-pixel total out of range  | Must be in `[921600, 4624220]` |
| Exact-pixel aspect out of range | Must be in `[1/16, 16]`        |
| `n > 1` / sequential group mode | Single-image model             |
| More than 10 references         | Rejected                       |

<Note>
  ⏱️ **Slower generation**: \~90s for 1K, \~160s for 2K (quality first). Poll [Get Task Status](/en/api-reference/tasks/status) every 5–10 seconds; client timeout **5 minutes**. Generated image links are valid for **72 hours**; please save them promptly.
</Note>

## Response

<ResponseField name="code" type="integer">
  Response status code
</ResponseField>

<ResponseField name="data" type="array">
  Response data array

  <Expandable title="Properties">
    <ResponseField name="status" type="string">
      Task status

      * `submitted` - Submitted
    </ResponseField>

    <ResponseField name="task_id" type="string">
      Unique task identifier
    </ResponseField>
  </Expandable>
</ResponseField>