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ArsMachina /
Retro-80s-Vaporwave
Copy Prompt for LLM

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Retro-80s-Vaporwave

Retro 80s Vaporwave

371Runs
0Comments
  • Run
  • History
  • API Integration Guide

API Sample: ArsMachina/Retro-80s-Vaporwave

📚 For LLM Integration:

For complete parameter details and examples, please also review the markdown documentation at:
/models/arsmachina/retro-80s-vaporwave/llms.txt
/models/arsmachina/retro-80s-vaporwave/llms-full.txt

You don't have any projects yet. To be able to use our api service effectively, please sign in/up and create a project.

Get your api key
  • curl
  • nodejs
  • csharp
  • php
  • swift
  • dart
  • kotlin
  • go
  • python

Prepare Authentication (Signature)

                            //Sign up Wiro dashboard and create project
export YOUR_API_KEY="YOUR_WIRO_API_KEY";
export YOUR_API_SECRET="XXXXXXXXX";

//unix time or any random integer value
export NONCE=$(date +%s);

//hmac-SHA256 (YOUR_API_SECRET+Nonce) with YOUR_API_KEY
export SIGNATURE="$(echo -n "${YOUR_API_SECRET}${NONCE}" | openssl dgst -sha256 -hmac "${YOUR_API_KEY}")";
    
                        

Create a New Folder - Make HTTP Post Request

Create a New Folder - Response

Upload a File to the Folder - Make HTTP Post Request

Upload a File to the Folder - Response

Run Command - Make HTTP Post Request (JSON)

                          
# ⚠️ IMPORTANT: Remove all commented lines (starting with #) before running
# Bash doesn't support comments in command continuation (lines ending with \)

curl -X POST "https://api.wiro.ai/v1/Run/arsmachina/retro-80s-vaporwave"  \
-H "Content-Type: application/json" \
-H "x-api-key: ${YOUR_API_KEY}" \
-H "x-nonce: ${NONCE}" \
-H "x-signature: ${SIGNATURE}" \
-d '{
  "prompt": "<lora:Retro-80s-Vaporwave:1.0>, Realistic 80s retro style, **A close-up shot of a vintage CRT computer monitor sitting on a dark wooden desk.** The monitor screen glows with pixelated, amber-orange text that reads:\"GENERATION PAUSED.\"\"INSERT BUZZ TO CONTINUE...\"Below this, in smaller, retro-computer font: \"Your contribution powers the A E S T H E T I C S.\"**Desk Environment Details:**Clustered around the monitor are quintessential 80s items: a stack of 5.25-inch floppy disks, a classic gray push-button telephone with a coiled cord, an open cassette tape case with a tape partially visible, and a chunky, dark brown '80s desk lamp casting a focused glow. A crumpled sheet of dot-matrix printer paper is partially visible next to the keyboard (which is just out of frame or partially seen). The background is a slightly blurred suggestion of an 80s room, perhaps with a muted TV screen showing static.**Lighting & Atmosphere:**The primary light source is the glowing amber screen, softly illuminating the surrounding objects and casting a warm, nostalgic ambiance. The overall lighting is natural for an indoor setting, with some subtle shadows. The image has a clean, focused, yet slightly lived-in feel, evoking a strong sense of 1980s authenticity.**Colors:**Dominant tones of amber, dark wood browns, retro grays and beiges, with pops of '80s colors from small objects or posters in the background (if implied).",
  "samples": "1",
  "steps": "20",
  "scale": "6",
  "seed": "2303175",
  "width": "1024",
  "height": "1024",
  "callbackUrl": "Optional: Webhook URL for task completion notifications"
}';

    
                        

Run Command - Response

                          
//response body
{
    "errors": [],
    "taskid": "2221",
    "socketaccesstoken": "eDcCm5yyUfIvMFspTwww49OUfgXkQt",
    "result": true
}
    
                        

Get Task Detail - Make HTTP Post Request with Task Token

                          
curl -X POST "https://api.wiro.ai/v1/Task/Detail"  \
-H "Content-Type: application/json" \
-H "x-api-key: ${YOUR_API_KEY}" \
-H "x-nonce: ${NONCE}" \
-H "x-signature: ${SIGNATURE}" \
-d '{
  "tasktoken": "eDcCm5yyUfIvMFspTwww49OUfgXkQt"
}';

    
                        

Get Task Detail - Response

                          
//response body
{
  "total": "1",
  "errors": [],
  "tasklist": [
      {
          "id": "534574",
          "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd",
          "name": "",
          "socketaccesstoken": "eDcCm5yyUfIvMFspTwww49OUfgXkQt",
          "parameters": {
              "inputImage": "https://api.wiro.ai/v1/File/mCmUXgZLG1FNjjjwmbtPFr2LVJA112/inputImage-6060136.png"
          },
          "debugoutput": "",
          "debugerror": "",
          "starttime": "1734513809",
          "endtime": "1734513813",
          "elapsedseconds": "6.0000",
          "status": "task_postprocess_end",
          "cps": "0.000585000000",
          "totalcost": "0.003510000000",
          "guestid": null,
          "projectid": "699",
          "modelid": "598",
          "description": "",
          "basemodelid": "0",
          "runtype": "model",
          "modelfolderid": "",
          "modelfileid": "",
          "callbackurl": "",
          "marketplaceid": null,
          "createtime": "1734513807",
          "canceltime": "0",
          "assigntime": "1734513807",
          "accepttime": "1734513807",
          "preprocessstarttime": "1734513807",
          "preprocessendtime": "1734513807",
          "postprocessstarttime": "1734513813",
          "postprocessendtime": "1734513814",
          "pexit": "0",
          "categories": "["tool","image-to-image","quick-showcase","compare-landscape"]",
          "outputs": [
              {
                  "id": "6bc392c93856dfce3a7d1b4261e15af3",
                  "name": "0.png",
                  "contenttype": "image/png",
                  "parentid": "6c1833f39da71e6175bf292b18779baf",
                  "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd",
                  "size": "202472",
                  "addedtime": "1734513812",
                  "modifiedtime": "1734513812",
                  "accesskey": "dFKlMApaSgMeHKsJyaDeKrefcHahUK",
                  "foldercount": "0",
                  "filecount": "0",
                  "ispublic": 0,
                  "expiretime": null,
                  "url": "https://cdn1.wiro.ai/6a6af820-c5050aee-40bd7b83-a2e186c6-7f61f7da-3894e49c-fc0eeb66-9b500fe2/0.png"
              }
          ],
          "size": "202472"
      }
  ],
  "result": true
}
    
                        

Kill Task - Make HTTP Post Request with Task ID

                          
curl -X POST "https://api.wiro.ai/v1/Task/Kill"  \
-H "Content-Type: application/json" \
-H "x-api-key: ${YOUR_API_KEY}" \
-H "x-nonce: ${NONCE}" \
-H "x-signature: ${SIGNATURE}" \
-d '{
  "taskid": "534574"
}';

    
                        

Kill Task - Response

                          
//response body
{
  "errors": [],
  "tasklist": [
      {
          "id": "534574",
          "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd",
          "name": "",
          "socketaccesstoken": "ZpYote30on42O4jjHXNiKmrWAZqbRE",
          "parameters": {
              "inputImage": "https://api.wiro.ai/v1/File/mCmUXgZLG1FNjjjwmbtPFr2LVJA112/inputImage-6060136.png"
          },
          "debugoutput": "",
          "debugerror": "",
          "starttime": "1734513809",
          "endtime": "1734513813",
          "elapsedseconds": "6.0000",
          "status": "task_cancel",
          "cps": "0.000585000000",
          "totalcost": "0.003510000000",
          "guestid": null,
          "projectid": "699",
          "modelid": "598",
          "description": "",
          "basemodelid": "0",
          "runtype": "model",
          "modelfolderid": "",
          "modelfileid": "",
          "callbackurl": "",
          "marketplaceid": null,
          "createtime": "1734513807",
          "canceltime": "0",
          "assigntime": "1734513807",
          "accepttime": "1734513807",
          "preprocessstarttime": "1734513807",
          "preprocessendtime": "1734513807",
          "postprocessstarttime": "1734513813",
          "postprocessendtime": "1734513814",
          "pexit": "0",
          "categories": "["tool","image-to-image","quick-showcase","compare-landscape"]",
          "outputs": [
              {
                  "id": "6bc392c93856dfce3a7d1b4261e15af3",
                  "name": "0.png",
                  "contenttype": "image/png",
                  "parentid": "6c1833f39da71e6175bf292b18779baf",
                  "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd",
                  "size": "202472",
                  "addedtime": "1734513812",
                  "modifiedtime": "1734513812",
                  "accesskey": "dFKlMApaSgMeHKsJyaDeKrefcHahUK",
                  "foldercount": "0",
                  "filecount": "0",
                  "ispublic": 0,
                  "expiretime": null,
                  "url": "https://cdn1.wiro.ai/6a6af820-c5050aee-40bd7b83-a2e186c6-7f61f7da-3894e49c-fc0eeb66-9b500fe2/0.png"
              }
          ],
          "size": "202472"
      }
  ],
  "result": true
}
    
                        

Cancel Task - Make HTTP Post Request (For tasks on queue)

                          
curl -X POST "https://api.wiro.ai/v1/Task/Cancel"  \
-H "Content-Type: application/json" \
-H "x-api-key: ${YOUR_API_KEY}" \
-H "x-nonce: ${NONCE}" \
-H "x-signature: ${SIGNATURE}" \
-d '{
  "taskid": "634574"
}';

    
                        

Cancel Task - Response

                          
//response body
{
  "errors": [],
  "tasklist": [
      {
          "id": "634574",
          "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd",
          "name": "",
          "socketaccesstoken": "ZpYote30on42O4jjHXNiKmrWAZqbRE",
          "parameters": {
              "inputImage": "https://api.wiro.ai/v1/File/mCmUXgZLG1FNjjjwmbtPFr2LVJA112/inputImage-6060136.png"
          },
          "debugoutput": "",
          "debugerror": "",
          "starttime": "1734513809",
          "endtime": "1734513813",
          "elapsedseconds": "6.0000",
          "status": "task_cancel",
          "cps": "0.000585000000",
          "totalcost": "0.003510000000",
          "guestid": null,
          "projectid": "699",
          "modelid": "598",
          "description": "",
          "basemodelid": "0",
          "runtype": "model",
          "modelfolderid": "",
          "modelfileid": "",
          "callbackurl": "",
          "marketplaceid": null,
          "createtime": "1734513807",
          "canceltime": "0",
          "assigntime": "1734513807",
          "accepttime": "1734513807",
          "preprocessstarttime": "1734513807",
          "preprocessendtime": "1734513807",
          "postprocessstarttime": "1734513813",
          "postprocessendtime": "1734513814",
          "pexit": "0",
          "categories": "["tool","image-to-image","quick-showcase","compare-landscape"]",
          "outputs": [
              {
                  "id": "6bc392c93856dfce3a7d1b4261e15af3",
                  "name": "0.png",
                  "contenttype": "image/png",
                  "parentid": "6c1833f39da71e6175bf292b18779baf",
                  "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd",
                  "size": "202472",
                  "addedtime": "1734513812",
                  "modifiedtime": "1734513812",
                  "accesskey": "dFKlMApaSgMeHKsJyaDeKrefcHahUK",
                  "foldercount": "0",
                  "filecount": "0",
                  "ispublic": 0,
                  "expiretime": null,
                  "url": "https://cdn1.wiro.ai/6a6af820-c5050aee-40bd7b83-a2e186c6-7f61f7da-3894e49c-fc0eeb66-9b500fe2/0.png"
              }
          ],
          "size": "202472"
      }
  ],
  "result": true
}
    
                        

Get Task Process Information and Results with Socket Connection

                          
<script type="text/javascript">
  window.addEventListener('load',function() {
    //Get socketAccessToken from task run response
    var SocketAccessToken = 'eDcCm5yyUfIvMFspTwww49OUfgXkQt';
    WebSocketConnect(SocketAccessToken);
  });

  //Connect socket with connection id and register task socket token
  async function WebSocketConnect(accessTokenFromAPI) {
    if ("WebSocket" in window) {
        var ws = new WebSocket("wss://socket.wiro.ai/v1");
        ws.onopen = function() {
          //Register task socket token which has been obtained from task run API response
          ws.send('{"type": "task_info", "tasktoken": "' + accessTokenFromAPI + '"}');
        };

        ws.onmessage = function (evt) {
          var msg = evt.data;

          try {
              var debugHtml = document.getElementById('debug');
              debugHtml.innerHTML = debugHtml.innerHTML + "\n" + msg;

              var msgJSON = JSON.parse(msg);
              console.log('msgJSON: ', msgJSON);

              if(msgJSON.type != undefined)
              {
                console.log('msgJSON.target: ',msgJSON.target);
                switch(msgJSON.type) {
                    case 'task_queue':
                      console.log('Your task has been waiting in the queue.');
                    break;
                    case 'task_accept':
                      console.log('Your task has been accepted by the worker.');
                    break;
                    case 'task_preprocess_start':
                      console.log('Your task preprocess has been started.');
                    break;
                    case 'task_preprocess_end':
                      console.log('Your task preprocess has been ended.');
                    break;
                    case 'task_assign':
                      console.log('Your task has been assigned GPU and waiting in the queue.');
                    break;
                    case 'task_start':
                      console.log('Your task has been started.');
                    break;
                    case 'task_output':
                      console.log('Your task has been started and printing output log.');
                      console.log('Log: ', msgJSON.message);
                    break;
                    case 'task_error':
                      console.log('Your task has been started and printing error log.');
                      console.log('Log: ', msgJSON.message);
                    break;
                   case 'task_output_full':
                      console.log('Your task has been completed and printing full output log.');
                    break;
                    case 'task_error_full':
                      console.log('Your task has been completed and printing full error log.');
                    break;
                    case 'task_end':
                      console.log('Your task has been completed.');
                    break;
                    case 'task_postprocess_start':
                      console.log('Your task postprocess has been started.');
                    break;
                    case 'task_postprocess_end':
                      console.log('Your task postprocess has been completed.');
                      console.log('Outputs: ', msgJSON.message);
                      //output files will add ui
                      msgJSON.message.forEach(function(currentValue, index, arr){
                          console.log(currentValue);
                          var filesHtml = document.getElementById('files');
                          filesHtml.innerHTML = filesHtml.innerHTML + '<img src="' + currentValue.url + '" style="height:300px;">'
                      });
                    break;
                }
              }
          } catch (e) {
            console.log('e: ', e);
            console.log('msg: ', msg);
          }
        };

        ws.onclose = function() {
          alert("Connection is closed...");
        };
    } else {
        alert("WebSocket NOT supported by your Browser!");
    }
  }
</script>
    
                        

Prepare UI Elements Inside Body Tag

                          
  <div id="files"></div>
  <pre id="debug"></pre>
    
                        
Trigger Word(s):

Tell us about any details you want to generate

Retro-80s-Vaporwave scale:
Click To See More Samples
1761308173 Report This Model

This LoRA reminds me of the worn, nostalgic feel of old VHS covers and magazine prints, but in a Vaporwave interpretation.
Bold colors softened by heavy grain, scratches, and print textures.
The aesthetic balances surreal calm with urban vibrance. It is both dreamlike and gritty.
Best for evocative portraits, cityscapes, and nostalgic retro-futurist edits. I also included 20 Animal Images in the Dataset :)

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