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  • EauDeNoire/1980s-Manga-style
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EauDeNoire /
1980s-Manga-style
Copy Prompt for LLM

View as Markdown
View as Markdown (Full)

1980s-Manga-style

1980's Manga style

103Runs
0Comments
  • Run
  • History
  • API Integration Guide

API Sample: EauDeNoire/1980s-Manga-style

📚 For LLM Integration:

For complete parameter details and examples, please also review the markdown documentation at:
/models/eaudenoire/1980s-manga-style/llms.txt
/models/eaudenoire/1980s-manga-style/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/eaudenoire/1980s-manga-style"  \
-H "Content-Type: application/json" \
-H "x-api-key: ${YOUR_API_KEY}" \
-H "x-nonce: ${NONCE}" \
-H "x-signature: ${SIGNATURE}" \
-d '{
  "prompt": "<lora:1980s-Manga-style:1.0>, cinematic film still of  cartooncinematic comic book realistic drawing style a wolverine in yellow blue outfit is running with his perfect claws out comic book magazine style,solo, simple background, gloves, white background, belt, bodysuit, mask, muscular, facial hair, claws, manly, superhero, claw (weapon), armor, boots, watermark, full body, yellow bodysuit, looking at viewer, muscular male, western comics (style), shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
  "samples": "1",
  "steps": "20",
  "scale": "3.8",
  "seed": "3697835",
  "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

1980s-Manga-style scale:
Click To See More Samples
1744390964 Report This Model

Update: Please if you see any of my models somewhere else report or let me know! Thnx

Trained on base model F1D

Please read about version info on the right box

Feedback and ratings are much appreciated.

Feel free to check other similar models:

Kodak Ektar Film Camera style F1D

Kodak VISION3 250D analog film stocks footage F1D + XL

Kodak Vision3 500T analog film stocks Footage F1D + XL

Kodak Portra 400 analog film stocks Footage F1D + XL

Kodak Gold 200 analog film stocks Footage F1D + XL

FUJIFILM ETERNA analog film stocks Footage F1D + XL

Cinematic "Bleach Bypass" Film style XL + F1D

Diffused Light (Glowing) "Black Pro Mist" filter style XL + F1D

16mm (Super) Film Emulator style XL

Anamorphic format film style XL (Hollywood Cinematic style)

Celluloid Film (cinematic skin tone color) style

Cinematic text title (on screen) style XL

Cinematic "color grading" motion picture film style XL

Cinenaut XL (A TRUE CINEMATIC DIFFUSION)

Cinematic Film Style XL

Cinematic Photography Style XL

Cinematic Glamour Photography style XL

Cinematic Kodak Motion Picture "Film Still" Style XL

Cinematic Film Stock Footage Style XL

Cinematic Vintage Film Style XL

High Angle (from above) cinematic style XL

Hyperrealism 3D Cinematic Style XL

Kodak Film Grain (Cinematic) Photography style XL

Infrared Cinematic Photography style XL

Lens Flare Cinematic Reflection style XL

Low Angle (from below) cinematic style XL

Music Video cinematic style XL (Including 60's 70's 80's 90's, etc.)

Point of view (pov + fps) cinematic subjective camera style XL

Rotated View (Dutch Angle) Cinematic Style XL

Realistic Photographic Film Stock Footage Style XL

Set design style (cinematic scenic design) XL

Split Diopter style (Deep Focus) XL

Television advertisement cinematic Film style XL (including fashion models)

Three-quarter view style XL

Text message on screen bubble (cinematic style) XL

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