Seededit-3-0-I2i-250628 - Image Edit - gptproto

POST

images

generations

curl --request POST \
  --url https://api.example.com/v1/images/generations

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.example.com/v1/images/generations",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.example.com/v1/images/generations"

	req, _ := http.NewRequest("POST", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v1/images/generations")

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

request = Net::HTTP::Post.new(url)

response = http.request(request)
puts response.read_body

BytePlus’s GPTProto format for the image edit API.

curl --location 'https://gptproto.com/api/v3/bytedance/seededit-3-0-i2i-250628/image-edit' \
--header 'Authorization: sk-xx' \
--header 'Content-Type: application/json' \
--data '{
  "enable_base64_output": false,
  "enable_sync_mode": false,
  "images": [
    "https://d1q70pf5vjeyhc.cloudfront.net/media/92d2d4ca66f84793adcb20742b15d262/images/1757414555847323990_Si8cqCBF.jpeg"
  ],
  "prompt": "Turn this photo into a characterfigure. Behind it, place a box withthe character'\''s image printed on it,and a computer showing the Blendermodeling process on its screen. In frontof the box, add a round plastic basewith the character figure standing on it .set the scene indoors if possible.",
  "size": "2227*3183"
}'

import requests
import json

url = "https://gptproto.com/api/v3/bytedance/seededit-3-0-i2i-250628/image-edit"
headers = {
    "Authorization": "sk-xx",
    "Content-Type": "application/json"
}

data = {
  "enable_base64_output": False,
  "enable_sync_mode": False,
  "images": [
    "https://d1q70pf5vjeyhc.cloudfront.net/media/92d2d4ca66f84793adcb20742b15d262/images/1757414555847323990_Si8cqCBF.jpeg"
  ],
  "prompt": "Turn this photo into a characterfigure. Behind it, place a box withthe character's image printed on it,and a computer showing the Blendermodeling process on its screen. In frontof the box, add a round plastic basewith the character figure standing on it .set the scene indoors if possible.",
  "size": "2227*3183"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()
print(json.dumps(result, indent=2))

const url = "https://gptproto.com/api/v3/bytedance/seededit-3-0-i2i-250628/image-edit";
const headers = {
  "Authorization": "sk-xx",
  "Content-Type": "application/json"
};

const data = {
  "enable_base64_output": false,
  "enable_sync_mode": false,
  "images": [
    "https://d1q70pf5vjeyhc.cloudfront.net/media/92d2d4ca66f84793adcb20742b15d262/images/1757414555847323990_Si8cqCBF.jpeg"
  ],
  "prompt": "Turn this photo into a characterfigure. Behind it, place a box withthe character's image printed on it,and a computer showing the Blendermodeling process on its screen. In frontof the box, add a round plastic basewith the character figure standing on it .set the scene indoors if possible.",
  "size": "2227*3183"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(data)
})
  .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://gptproto.com/api/v3/bytedance/seededit-3-0-i2i-250628/image-edit"

    payload := []byte(`{
  "enable_base64_output": false,
  "enable_sync_mode": false,
  "images": [
    "https://d1q70pf5vjeyhc.cloudfront.net/media/92d2d4ca66f84793adcb20742b15d262/images/1757414555847323990_Si8cqCBF.jpeg"
  ],
  "prompt": "Turn this photo into a characterfigure. Behind it, place a box withthe character's image printed on it,and a computer showing the Blendermodeling process on its screen. In frontof the box, add a round plastic basewith the character figure standing on it .set the scene indoors if possible.",
  "size": "2227*3183"
}`)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
    req.Header.Set("Authorization", "sk-xx")
    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))
}

{
  "error": {
    "message": "Invalid signature",
    "type": "401"
  }
}

{
  "error": {
    "message": "Insufficient balance",
    "type": "403"
  }
}

{
  "error": {
    "message": "Internal server error",
    "type": "500"
  }
}

{
  "error": {
    "message": "Input may not meet the guidelines. Please adjust and try again.",
    "type": "503"
  }
}

Parameters

Parameter	Type	Required	Default	Description
`enable_base64_output`	boolean	❌ No	`false`	Whether to return base64 encoded output
`enable_sync_mode`	boolean	❌ No	`false`	Whether to enable synchronous mode
`images`	array	✅ Yes	-	Input image URL(s) for image-to-image generation
`prompt`	string	✅ Yes	-	Image generation prompt describing the desired image content
`size`	string	❌ No	-	Output image resolution (e.g., 22273183, 10241024)

​Parameters

Parameters