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  • E_EE/Anime Chibi v4.5
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E_EE/ Anime Chibi v4.5

2680runs
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Licence
About this license
CreativeML Open RAIL-MView LICENSE
AddendumView LICENSE

API Sample: E_EE/Anime Chibi v4.5

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
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  • kotlin
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  • python

Prepare Authentication Signature

                          
  //Sign up Wiro dashboard and create project
  export YOUR_API_KEY="{{useSelectedProjectAPIKey}}"; 
  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

                          
  curl -X POST "{{apiUrl}}/Run/{{toolSlugOwner}}/{{toolSlugProject}}"  \
  -H "Content-Type: {{contentType}}" \
  -H "x-api-key: ${YOUR_API_KEY}" \
  -H "x-nonce: ${NONCE}" \
  -H "x-signature: ${SIGNATURE}" \
  -d '{{toolParameters}}';

      
                        

Run Command - Response

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

Get Task Detail - Make HTTP Post Request

                          
  curl -X POST "{{apiUrl}}/Task/Detail"  \
  -H "Content-Type: {{contentType}}" \
  -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": "2221",
            "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
  }
      
                        

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>
      
                        

Tell us about any details you want to generate

Specify things to not see in the output

Your request will cost $0.0006 per second.

(Total cost varies depending on the request’s execution time.)
1721895756 Report This Model

This is a way to merge some flat anime models together to achieve a certain CHIBI anime style, which is more flat and cute CHIBI than the common super-detailed anime models.

这是一种将一些平面动漫模型合并在一起,实现某种 CHIBI 动漫风格的方法,与常见的超精细动漫模型相比,CHIBI 更平面、更可爱。

The model is designed to generate CHIBI style images, and the backgrounds generated by the model are also more lovely and flat traced.

该模型旨在生成 CHIBI 风格的图像,由该模型生成的背景也更加可爱和扁平化描边。

It is recommended to use LORA into the model to create even more marvelous results.

推荐使用LORA 到模型中,来创造出更奇妙的结果。

Steps: 40

Sampler: DPM++ SDE Karras

Upscaler (Hires. fix): R-ESRGAN 4x+ Anime6B

Denoising strength: 0.5

Upscale by: 1.5+

CFG scale: 7-13

Recommended Prompt:highres,detailed,best quality,masterpiece,illustration,wallpaper

Recommended Negative prompt:(worst quality, low quality:1.4),nsfw,(hand with more than 5 fingers, hand with less than 4 fingers,ad anatomy, bad hands,mutated hands and fingers:1.2),extra legs,extra arms,interlocked fingers,duplicate,cropped,text,jpeg artifacts,signature,watermark,username,blurry,artist name,trademark,title,muscular,sd character,multiple view,Reference sheet,long body,malformed limbs,multiple breasts,cloned face,malformed,mutated,bad anatomy,disfigured,bad proportions,duplicate,bad feet,artist name,extra limbs,ugly,fused anus,text font ui,missing limb,

This merger is very easy to prompt, but better prompted engineering yields better results.

这种合并非常容易促成,但更好的提示会产生更好的效果。

Note Do not use negative embedding when there is no problem with the image.

注意 当图像没有问题时,请勿使用负嵌入。

Negative pt can be used to fix a variety of distortion issues. It's more likely to affect your original style and can take up a lot of tokens

负pt 可以用来修复各种失真问题。它更有可能影响你的原始风格,而且会占用大量tokens

If you need to use negative embedding, I recommend using verybadimagenegative_v1.3 and badhandv4, and do not recommend easynegative.

如果需要使用负面嵌入,我建议使用 verybadimagenegative_v1.3 和 badhandv4,不建议使用 easynegative。

  • Place the downloaded files into the "embeddings" folder of the SD WebUI
    将下载的文件放入 SD WebUI 的“嵌入”文件夹中

  • In the negative prompt, paste "verybadimagenegative_v1.3, badhandv4"
    在否定提示中,粘贴“verybadimagenegative_v1.3,badhandv4”

  • https://civitai.com/models/11772/verybadimagenegative

  • https://civitai.com/models/16993?modelVersionId=20068

Thank you for your support!

if you would like to support me:https://www.buymeacoffee.com/EEEMax

如果您想支持我:https://www.buymeacoffee.com/EEEMax

NSFW ON!

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