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This repository illustrates how to use the Hotpot.ai API. Our API provides Stable Diffusion, image generator, text-to-image generator, background removal, image upscaler, photo restoration, and picture colorization.
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HotpotDesign/api-examples
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Hotpot.ai offers aStable Diffusion API with three flavors: (1) budget (2) standard and (3) premium.
// Set URL to monitor.consturl='https://hotpot-temporary-images.s3.us-east-2.amazonaws.com/520.txt';pollAndRenderUrl(url);functionpollAndRenderUrl(url){// Set how often to poll@url. If set lower than 70000, your account will incur S3 charges.constpollDuration=70000;// Create an interval to check@url every @pollDuration milliseconds.constinterval=setInterval(async()=>{constresponse=awaitfetch(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 theBackground 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-background
Install theform-data library first:
yarn add form-data
'use strict';constfs=require('fs');consthttps=require('https');constFormData=require('form-data');constform=newFormData();// change to a full file path of the image you want to transformform.append('image',fs.createReadStream('/full/path/to/image.jpg'));constcustomHeaders={'Authorization':'API_KEY_HERE'}// setting a correct MIME type and (multipart/form-data) a boundary for the payloadconstheaders={...form.getHeaders(), ...customHeaders}constoptions={method:'POST',hostname:'api.hotpot.ai',port:443,path:'/remove-background',headers:headers,encoding:null,};constrequest=https.request(options,response=>{constbody=[];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 imagefs.writeFileSync('/full/path/to/image-nobg.jpg',Buffer.concat(body),'binary');request.end();})});request.on('error',error=>{console.error(error);});form.pipe(request);
Install therequests library first:
pip3 install requests
importrequestsheaders= {'Authorization':'API_KEY_HERE',}# change to a full file path of the image you want to transformbody= {'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 imagewithopen('/full/path/to/image-nobg.jpg','wb')asfile:file.write(response.content)
<?php$ch =curl_init();// change to a full file path of the image you want to transform$body = ['image' =>newCurlFile('/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($ch);// change to a full file path where you want to save the resulting imagefile_put_contents('/full/path/to/image-nobg.jpg',$response);
Install theFlurl.Http library first:
dotnet add package Flurl.Http
usingvarmemoryStream=newMemoryStream(data);varrequest=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"));varresponse=awaitrequest.GetBytesAsync();// change to a full file path where you want to save the resulting imageawaitFile.WriteAllBytesAsync("/full/path/to/image-nobg.jpg",response);
Note: theAdd
function requires three parameters. Otherwise the binary data will be incorrectly sent as a string.
usingSystem;usingSystem.IO;usingSystem.Net.Http;usingSystem.Threading.Tasks;classProgram{publicstaticasyncTaskMain(string[]args){varclient=newHttpClient();client.DefaultRequestHeaders.Add("Authorization","API KEY HERE");varform=newMultipartFormDataContent();varimage=newByteArrayContent(File.ReadAllBytes("bg.jpg"));form.Add(image,"image","bg.jpg");varresponse=awaitclient.PostAsync("https://api.hotpot.ai/remove-background",form);varresult=awaitresponse.Content.ReadAsByteArrayAsync();System.IO.File.WriteAllBytes("nobg.jpg",result);}}
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This repository illustrates how to use the Hotpot.ai API. Our API provides Stable Diffusion, image generator, text-to-image generator, background removal, image upscaler, photo restoration, and picture colorization.
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