GPT-Image-1 - Image Edit

curl --location 'https://gptproto.com/v1/images/edits' \
--header 'Authorization: GPTPROTO_API_KEY' \
--form 'model="gpt-image-1"' \
--form 'image[]=@"/path/to/file"' \
--form 'prompt="Put a hat on the cat"'

const axios = require('axios');
const FormData = require('form-data');
const fs = require('fs');
let data = new FormData();
data.append('model', 'gpt-image-1');
data.append('image[]', fs.createReadStream('/path/to/file'));
data.append('prompt', 'Put a hat on the cat');

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://gptproto.com/v1/images/edits',
  headers: { 
    'Authorization': 'GPTPROTO_API_KEY', 
    ...data.getHeaders()
  },
  data : data
};

axios.request(config)
.then((response) => {
  console.log(JSON.stringify(response.data));
})
.catch((error) => {
  console.log(error);
});

import http.client
import mimetypes
from codecs import encode

conn = http.client.HTTPSConnection("gptproto.com")
dataList = []
boundary = 'wL36Yn8afVp8Ag7AmP8qZ0SA4n1v9T'
dataList.append(encode('--' + boundary))
dataList.append(encode('Content-Disposition: form-data; name=model;'))

dataList.append(encode('Content-Type: {}'.format('text/plain')))
dataList.append(encode(''))

dataList.append(encode("gpt-image-1"))
dataList.append(encode('--' + boundary))
dataList.append(encode('Content-Disposition: form-data; name=image[]; filename={0}'.format('file')))

fileType = mimetypes.guess_type('/path/to/file')[0] or 'application/octet-stream'
dataList.append(encode('Content-Type: {}'.format(fileType)))
dataList.append(encode(''))

with open('/path/to/file', 'rb') as f:
  dataList.append(f.read())
dataList.append(encode('--' + boundary))
dataList.append(encode('Content-Disposition: form-data; name=prompt;'))

dataList.append(encode('Content-Type: {}'.format('text/plain')))
dataList.append(encode(''))

dataList.append(encode("Put a hat on the cat"))
dataList.append(encode('--'+boundary+'--'))
dataList.append(encode(''))
body = b'\r\n'.join(dataList)
payload = body
headers = {
  'Authorization': 'GPTPROTO_API_KEY',
  'Content-type': 'multipart/form-data; boundary={}'.format(boundary)
}
conn.request("POST", "/v1/images/edits", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

package main

import (
  "fmt"
  "bytes"
  "mime/multipart"
  "os"
  "path/filepath"
  "net/http"
  "io"
)

func main() {

  url := "https://gptproto.com/v1/images/edits"
  method := "POST"

  payload := &bytes.Buffer{}
  writer := multipart.NewWriter(payload)
  _ = writer.WriteField("model", "gpt-image-1")
  file, errFile2 := os.Open("/path/to/file")
  defer file.Close()
  part2,
         errFile2 := writer.CreateFormFile("image[]",filepath.Base("/path/to/file"))
  _, errFile2 = io.Copy(part2, file)
  if errFile2 != nil {
    fmt.Println(errFile2)
    return
  }
  _ = writer.WriteField("prompt", "Put a hat on the cat")
  err := writer.Close()
  if err != nil {
    fmt.Println(err)
    return
  }


  client := &http.Client {
  }
  req, err := http.NewRequest(method, url, payload)

  if err != nil {
    fmt.Println(err)
    return
  }
  req.Header.Add("Authorization", "GPTPROTO_API_KEY")

  req.Header.Set("Content-Type", writer.FormDataContentType())
  res, err := client.Do(req)
  if err != nil {
    fmt.Println(err)
    return
  }
  defer res.Body.Close()

  body, err := io.ReadAll(res.Body)
  if err != nil {
    fmt.Println(err)
    return
  }
  fmt.Println(string(body))
}