Hotpot.ai offers a Stable Diffusion API with three flavors: (1) budget (2) standard and (3) premium.
// Set URL to monitor. const url = 'https://hotpot-temporary-images.s3.us-east-2.amazonaws.com/520.txt'; pollAndRenderUrl(url); function pollAndRenderUrl(url) { // Set how often to poll @url. If set lower than 70000, your account will incur S3 charges. const pollDuration = 70000; // Create an interval to check @url every @pollDuration milliseconds. const interval = setInterval(async () => { const response = await fetch(url, { method: 'GET', cache: 'no-cache', redirect: 'follow' }); // File exists at @url? if (response.status === 200) { // If here, file exists so do something with it. // Clear @interval and stop polling. clearInterval(interval); } }, pollDuration); }The examples below illustrate how to invoke the Background Remover API in different languages.
curl -H 'Authorization: API_KEY_HERE' \ -F 'image=@/full/path/to/image.jpg' \ -o '/full/path/to/image-nobg.jpg' \ https://api.hotpot.ai/remove-backgroundInstall the form-data library first:
yarn add form-data'use strict'; const fs = require('fs'); const https = require('https'); const FormData = require('form-data'); const form = new FormData(); // change to a full file path of the image you want to transform form.append('image', fs.createReadStream('/full/path/to/image.jpg')); const customHeaders = { 'Authorization': 'API_KEY_HERE' } // setting a correct MIME type and (multipart/form-data) a boundary for the payload const headers = {...form.getHeaders(), ...customHeaders} const options = { method: 'POST', hostname: 'api.hotpot.ai', port: 443, path: '/remove-background', headers: headers, encoding: null, }; const request = https.request(options, response => { const body = []; response.on('data', chunk => { body.push(Buffer.from(chunk)); }) response.on('end', () => { // change to a full file path where you want to save the resulting image fs.writeFileSync('/full/path/to/image-nobg.jpg', Buffer.concat(body), 'binary'); request.end(); }) }); request.on('error', error => { console.error(error); }); form.pipe(request);Install the requests library first:
pip3 install requestsimport requests headers = { 'Authorization': 'API_KEY_HERE', } # change to a full file path of the image you want to transform body = { 'image': open('/full/path/to/image.jpg', 'rb'), } response = requests.post('https://api.hotpot.ai/remove-background', headers=headers, files=body) # change to a full file path where you want to save the resulting image with open('/full/path/to/image-nobg.jpg', 'wb') as file: file.write(response.content)<?php $ch = curl_init(); // change to a full file path of the image you want to transform $body = [ 'image' => new CurlFile('/full/path/to/image.jpg') ]; curl_setopt($ch, CURLOPT_URL, 'https://api.hotpot.ai/remove-background'); curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1); curl_setopt($ch, CURLOPT_POST, 1); curl_setopt($ch, CURLOPT_POSTFIELDS, $body); $headers = array('Authorization: API_KEY_HERE'); curl_setopt($ch, CURLOPT_HTTPHEADER, $headers); $response = curl_exec($ch); curl_close($ch); // change to a full file path where you want to save the resulting image file_put_contents('/full/path/to/image-nobg.jpg', $response);Install the Flurl.Http library first:
dotnet add package Flurl.Httpusing var memoryStream = new MemoryStream(data); var request = await "https://api.hotpot.ai/remove-background" .WithHeader("Authorization", "API_KEY_HERE") // change to a full file path of the image you want to transform .PostMultipartAsync(builder => builder.AddFile("image", "/full/path/to/image.jpg")); var response = await request.GetBytesAsync(); // change to a full file path where you want to save the resulting image await File.WriteAllBytesAsync("/full/path/to/image-nobg.jpg", response);Note: the Add function requires three parameters. Otherwise the binary data will be incorrectly sent as a string.
using System; using System.IO; using System.Net.Http; using System.Threading.Tasks; class Program { public static async Task Main (string[] args) { var client = new HttpClient(); client.DefaultRequestHeaders.Add("Authorization", "API KEY HERE"); var form = new MultipartFormDataContent(); var image = new ByteArrayContent(File.ReadAllBytes("bg.jpg")); form.Add(image, "image", "bg.jpg"); var response = await client.PostAsync("https://api.hotpot.ai/remove-background", form); var result = await response.Content.ReadAsByteArrayAsync(); System.IO.File.WriteAllBytes("nobg.jpg", result); } }