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

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"
  }
}