import requests
import time
import shutil
import json

headers = {"Authorization": "api_key"}
params = {
    "terms": "खरगोश स्कूल जा रहा है, अज्ञानी शैली टैटू कला",
    "is_sfw": True,
    "negative_terms": "डुप्लिकेट, खराब ढंग से खींचा गया चेहरा, रुग्ण, खराब ढंग से खींची गई उंगलियां, बदसूरत, धुंधला, कार्टून, डिज्नी, फ्रेम से बाहर, काटा हुआ",
    "dimension": "landscape",
    "fix_faces": True,
    "make_tile": False,
    "upscale": False,
    "threesixty": False,
}
base_api_url = "https://api.imageeditor.ai"
api_url = f"{base_api_url}/v1"


def download_file(url, local_filename):
    url = f"{base_api_url}/{url}"
    with requests.get(url, stream=True) as r:
        with open(local_filename, "wb") as f:
            shutil.copyfileobj(r.raw, f)
    return local_filename


def convert_files(api_url, params, headers):
    r = requests.post(
        url=f"{api_url}/create-image/",
        json=params,
        headers=headers
    )
    return r.json()


def get_results(params):
    if params.get("error"):
        print(params)
        return

    r = requests.post(
        url=f"{api_url}/results/",
        data=params
    )
    data = r.json()
    finished = data.get("finished")

    while not finished:
        if int(data.get("queue_count")) > 0:
            print("queue: %s" % data.get("queue_count"))

        time.sleep(5)
        results = get_results(params)
        results = json.dumps(results)

        if results:
            break

    if finished:
        for f in data.get("files"):
            print(f.get("url"))
            download_file("%s" % f.get("url"), "%s" % f.get("filename"))
        return {"finished": "files downloaded"}
    return r.json()


get_results(convert_files(api_url, params, headers))

Create image

curl -X POST \
  https://api.imageeditor.ai/v1/create-image/ \
  -H 'Authorization: api_key' \
  -H 'Content-Type: application/json' \
  -d '{
    "terms": "खरगोश स्कूल जा रहा है, अज्ञानी शैली टैटू कला",
    "is_sfw": true,
    "negative_terms": "डुप्लिकेट, खराब ढंग से खींचा गया चेहरा, रुग्ण, खराब ढंग से खींची गई उंगलियां, बदसूरत, धुंधला, कार्टून, डिज्नी, फ्रेम से बाहर, काटा हुआ",
    "dimension": "landscape",
    "fix_faces": true,
    "make_tile": false,
    "upscale": false,
    "threesixty": false
}'


Get created image URL

curl -X POST \
  https://api.imageeditor.ai/v1/results/ \
  -F 'uuid=response_uuid'

<?php
ini_set('display_errors', 1);
ini_set('display_startup_errors', 1);
error_reporting(E_ERROR | E_PARSE);

$headers = array("Authorization: api_key");
$file_list = ['/test_files/test.jpeg'];
$api_url = "https://api.imageeditor.ai/v1/edit-image/";
$results_url = "https://api.imageeditor.ai/v1/results/";

function download_file($url, $filename){
    $curl = curl_init();
    $url = "https://api.imageeditor.ai" . $url;
    curl_setopt($curl, CURLOPT_URL, $url);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
    curl_setopt($curl, CURLOPT_SSLVERSION, 3);
    $data = curl_exec($curl);
    $error = curl_error($curl);
    curl_close ($curl);
    # Make sure destionation path exists
    $destination_path = "/path/to/result/files/";
    $destination_file = fopen($destination_path . $filename, "w+");
    fwrite($destination_file, $data);
    fclose($destination_file);
}

function convert_files($file_list, $headers, $api_url) {
    $post_data['terms'] = 'खरगोश स्कूल जा रहा है, अज्ञानी शैली टैटू कला';
    $post_data['is_sfw'] = true;
    $post_data['negative_terms'] = 'डुप्लिकेट, खराब ढंग से खींचा गया चेहरा, रुग्ण, खराब ढंग से खींची गई उंगलियां, बदसूरत, धुंधला, कार्टून, डिज्नी, फ्रेम से बाहर, काटा हुआ';
    $post_data['dimension'] = 'landscape';
    $post_data['fix_faces'] = true;
    $post_data['make_tile'] = false;
    $post_data['upscale'] = false;
    $post_data['threesixty'] = false;

    foreach ($file_list as $index => $file) {
        $post_data['file[' . $index . ']'] = curl_file_create(
            realpath($file),
            mime_content_type($file),
            basename($file)
        );
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $api_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = curl_exec($curl);
    curl_close($curl);

    return json_decode($content);
}

function get_results($params, $results_url, $headers) {
    if ($params->error) {
        print_r($params->error);
        return;
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $results_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, json_decode(json_encode($params), true));
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = json_decode(curl_exec($curl));
    curl_close($curl);

    if ($content->finished == false) {
        if (intval($content->queue_count) > 0) {
            print_r("queue: $content->queue_count");
        }

        sleep(5);
        $results = get_results($params, $results_url, $headers);
        return;
    }

    foreach ($content->files as $f) {
        download_file($f->url, $f->filename);
    }
}

$resp = convert_files($file_list, $headers, $api_url);
get_results($resp, $results_url, $headers);
?>

const request = require('request');
const fs = require('fs');

let file_list = ['/test_files/sala.png']
const api_url = 'https://api.imageeditor.ai/v1/create-image/'
const results_url = 'https://api.imageeditor.ai/v1/results/'

function convertFiles(file_list) {
    let data = {
        "terms": "खरगोश स्कूल जा रहा है, अज्ञानी शैली टैटू कला",
        "is_sfw": true,
        "negative_terms": "डुप्लिकेट, खराब ढंग से खींचा गया चेहरा, रुग्ण, खराब ढंग से खींची गई उंगलियां, बदसूरत, धुंधला, कार्टून, डिज्नी, फ्रेम से बाहर, काटा हुआ",
        "dimension": "landscape",
        "fix_faces": true,
        "make_tile": false,
        "upscale": false,
        "threesixty": false,
    };

    for (var i = 0; i < file_list.length; i++) {
        formData['files'] = fs.createReadStream(file_list[i]);
    }

    request({
        url: api_url,
        method: 'post',
        json: data,
        headers: {
            "Authorization": "api_key",
            "Content-Type": "application/json",
        }
    }, function (err, res, body) {
        if (err) {
            console.error(err);
            return err;
        }
        getResults(JSON.parse(body));
    });
}

function getResults(data) {
    if (data.error) {
        console.error(data);
        return data.error;
    }
    request({
        url: results_url,
        method: 'post',
        formData: data
    }, function (e, r, body) {
        response = JSON.parse(body);
        console.log(response);
        if (!response.finished) {
            setTimeout(
                function () {
                    getResults(data);
                }, 1000
            );
        }

        console.log(response);
    })
}

convertFiles(file_list);

using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using Newtonsoft.Json;

class Program
{
    static readonly HttpClient client = new HttpClient();

    static async Task Main()
    {
        client.DefaultRequestHeaders.Add("Authorization", "api_key");

        // Create image
        var content = new StringContent(
            JsonConvert.SerializeObject(new
            {
                terms = "खरगोश स्कूल जा रहा है, अज्ञानी शैली टैटू कला",
                is_sfw = true,
                negative_terms = "डुप्लिकेट, खराब ढंग से खींचा गया चेहरा, रुग्ण, खराब ढंग से खींची गई उंगलियां, बदसूरत, धुंधला, कार्टून, डिज्नी, फ्रेम से बाहर, काटा हुआ",
                dimension = "landscape",
                fix_faces = true,
                make_tile = false,
                upscale = false,
                threesixty = false
            }),
            System.Text.Encoding.UTF8,
            "application/json"
        );
        var response = await client.PostAsync("https://api.imageeditor.ai/v1/create-image/", content);
        var result = await response.Content.ReadAsStringAsync();
        var data = JsonConvert.DeserializeObject<dynamic>(result);

        // Poll for results
        bool finished = false;
        while (!finished)
        {
            var pollContent = new FormUrlEncodedContent(new[]
            {
                new KeyValuePair<string, string>("uuid", (string)data.uuid)
            });
            var pollRes = await client.PostAsync("https://api.imageeditor.ai/v1/results/", pollContent);
            var pollResult = await pollRes.Content.ReadAsStringAsync();
            var pollData = JsonConvert.DeserializeObject<dynamic>(pollResult);

            finished = (bool)pollData.finished;
            if (!finished) await Task.Delay(5000);
            else Console.WriteLine(pollResult);
        }
    }
}

/path/to/local/result.jpg

 import requests
import time
import shutil
import json

headers = {"Authorization": "api_key"}
params = {
    "terms": "बिल्ली के बच्चे का कटोरा",
    "is_sfw": True,
    "replacing": "फल और फल का तना",
    "negative_terms": "",
    "fix_faces": True,
    "outpaint": False,
    "upscale": False,
}
file_path = "path/to/test.jpeg"
base_api_url = "https://api.imageeditor.ai"
api_url = f"{base_api_url}/v1"


def download_file(url, local_filename):
    url = f"{base_api_url}/{url}"
    with requests.get(url, stream=True) as r:
        with open(local_filename, "wb") as f:
            shutil.copyfileobj(r.raw, f)
    return local_filename


def convert_files(api_url, params, headers):
    files = [eval(f'("files", open("{file_path}", "rb"))')]
    r = requests.post(
        url=f"{api_url}/edit-image/",
        files=files,
        data=params,
        headers=headers
    )
    return r.json()


def get_results(params):
    if params.get("error"):
        print(params)
        return

    r = requests.post(
        url=f"{api_url}/results/",
        data=params
    )
    data = r.json()
    finished = data.get("finished")

    while not finished:
        if int(data.get("queue_count")) > 0:
            print("queue: %s" % data.get("queue_count"))

        time.sleep(5)
        results = get_results(params)
        results = json.dumps(results)

        if results:
            break

    if finished:
        for f in data.get("files"):
            print(f.get("url"))
            download_file("%s" % f.get("url"), "%s" % f.get("filename"))
        return {"finished": "files downloaded"}
    return r.json()


get_results(convert_files(api_url, params, headers))

छवियाँ संपादित करें

curl -X POST \
  https://api.imageeditor.ai/v1/edit-image/ \
  -H 'Authorization: api_key' \
  -F 'files=@test_files/test.jpeg' \
  -F 'terms=बिल्ली के बच्चे का कटोरा' \
  -F 'is_sfw=true' \
  -F 'replacing=फल और फल का तना' \
  -F 'negative_terms=' \
  -F 'fix_faces=true' \
  -F 'outpaint=false' \
  -F 'upscale=false'


Get result image

curl -X POST \
  https://api.imageeditor.ai/v1/results/ \
  -F 'uuid=response_uuid'

<?php
ini_set('display_errors', 1);
ini_set('display_startup_errors', 1);
error_reporting(E_ERROR | E_PARSE);

$headers = array("Authorization: api_key");
$file_list = ['/test_files/test.jpeg'];
$api_url = "https://api.imageeditor.ai/v1/edit-image/";
$results_url = "https://api.imageeditor.ai/v1/results/";

function download_file($url, $filename){
    $curl = curl_init();
    $url = "https://api.imageeditor.ai" . $url;
    curl_setopt($curl, CURLOPT_URL, $url);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
    curl_setopt($curl, CURLOPT_SSLVERSION, 3);
    $data = curl_exec($curl);
    $error = curl_error($curl);
    curl_close ($curl);
    # Make sure destionation path exists
    $destination_path = "/path/to/result/files/";
    $destination_file = fopen($destination_path . $filename, "w+");
    fwrite($destination_file, $data);
    fclose($destination_file);
}

function convert_files($file_list, $headers, $api_url) {
    $post_data['terms'] = 'खरगोश स्कूल जा रहा है, अज्ञानी शैली टैटू कला';
    $post_data['is_sfw'] = true;
    $post_data['replacing'] = 'फल और फल का तना';
    $post_data['negative_terms'] = '';
    $post_data['fix_faces'] = true;
    $post_data['outpaint'] = false;
    $post_data['upscale'] = false;

    foreach ($file_list as $index => $file) {
        $post_data['file[' . $index . ']'] = curl_file_create(
            realpath($file),
            mime_content_type($file),
            basename($file)
        );
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $api_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = curl_exec($curl);
    curl_close($curl);

    return json_decode($content);
}

function get_results($params, $results_url, $headers) {
    if ($params->error) {
        print_r($params->error);
        return;
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $results_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, json_decode(json_encode($params), true));
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = json_decode(curl_exec($curl));
    curl_close($curl);

    if ($content->finished == false) {
        if (intval($content->queue_count) > 0) {
            print_r("queue: $content->queue_count");
        }

        sleep(5);
        $results = get_results($params, $results_url, $headers);
        return;
    }

    foreach ($content->files as $f) {
        download_file($f->url, $f->filename);
    }
}

$resp = convert_files($file_list, $headers, $api_url);
get_results($resp, $results_url, $headers);
?>

const request = require('request');
const fs = require('fs');

let file_list = ['/test_files/test.jpeg']
const api_url = 'https://api.imageeditor.ai/v1/edit-image/'
const results_url = 'https://api.imageeditor.ai/v1/results/'

function convertFiles(file_list) {
    let formData = {
        "terms": "खरगोश स्कूल जा रहा है, अज्ञानी शैली टैटू कला",
        "is_sfw": true,
        "negative_terms": "डुप्लिकेट, खराब ढंग से खींचा गया चेहरा, रुग्ण, खराब ढंग से खींची गई उंगलियां, बदसूरत, धुंधला, कार्टून, डिज्नी, फ्रेम से बाहर, काटा हुआ",
        "dimension": "landscape",
        "fix_faces": true,
        "make_tile": false,
        "upscale": false,
        "threesixty": false,
    };

    for (var i = 0; i < file_list.length; i++) {
        formData['files'] = fs.createReadStream(file_list[i]);
    }

    request({
        url: api_url,
        method: 'post',
        formData: formData,
        headers: {
            "Authorization": "api_key",
            "Content-Type": "multipart/form-data",
        }
    }, function (err, res, body) {
        if (err) {
            console.error(err);
            return err;
        }
        getResults(JSON.parse(body));
    });
}

function getResults(data) {
    if (data.error) {
        console.error(data);
        return data.error;
    }
    request({
        url: results_url,
        method: 'post',
        formData: data
    }, function (e, r, body) {
        response = JSON.parse(body);
        console.log(response);
        if (!response.finished) {
            setTimeout(
                function () {
                    getResults(data);
                }, 1000
            );
        }

        console.log(response);
    })
}

convertFiles(file_list);

using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using Newtonsoft.Json;

class Program
{
    static readonly HttpClient client = new HttpClient();

    static async Task Main()
    {
        client.DefaultRequestHeaders.Add("Authorization", "api_key");

        // Edit image with file upload
        var form = new MultipartFormDataContent();
        form.Add(new StringContent("बिल्ली के बच्चे का कटोरा"), "terms");
        form.Add(new StringContent("true"), "is_sfw");
        form.Add(new StringContent("फल और फल का तना"), "replacing");
        form.Add(new StringContent(""), "negative_terms");
        form.Add(new StringContent("true"), "fix_faces");
        form.Add(new StringContent("false"), "outpaint");
        form.Add(new StringContent("false"), "upscale");
        form.Add(new ByteArrayContent(File.ReadAllBytes("test.jpeg")), "files", "test.jpeg");

        var response = await client.PostAsync("https://api.imageeditor.ai/v1/edit-image/", form);
        var result = await response.Content.ReadAsStringAsync();
        var data = JsonConvert.DeserializeObject<dynamic>(result);

        // Poll for results
        bool finished = false;
        while (!finished)
        {
            var pollContent = new FormUrlEncodedContent(new[]
            {
                new KeyValuePair<string, string>("uuid", (string)data.uuid)
            });
            var pollRes = await client.PostAsync("https://api.imageeditor.ai/v1/results/", pollContent);
            var pollResult = await pollRes.Content.ReadAsStringAsync();
            var pollData = JsonConvert.DeserializeObject<dynamic>(pollResult);

            finished = (bool)pollData.finished;
            if (!finished) await Task.Delay(5000);
            else Console.WriteLine(pollResult);
        }
    }
}

/path/to/local/result.jpg