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7whitefire7 /
RealCartoon-Special
Copy Prompt for LLM

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RealCartoon-Special

RealCartoon - Special

221Runs
0Comments
Licence
About this license
CreativeML Open RAIL-MView LICENSE
AddendumView LICENSE
  • Run
  • History
  • API Integration Guide

API Sample: 7whitefire7/RealCartoon-Special

📚 For LLM Integration:

For complete parameter details and examples, please also review the markdown documentation at:
/models/7whitefire7/realcartoon-special/llms.txt
/models/7whitefire7/realcartoon-special/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/7whitefire7/realcartoon-special"  \
-H "Content-Type: application/json" \
-H "x-api-key: ${YOUR_API_KEY}" \
-H "x-nonce: ${NONCE}" \
-H "x-signature: ${SIGNATURE}" \
-d '{
  "prompt": "(best quality, masterpiece:1.2), highly detailed, photorealism, photo-realistic, high contrast, vibrant colors, colorful, (photorealistic:1.4), (perfect male figure), beautiful face, perfect illumination, beautiful detailed eyes, stunningly beautiful, detailed hairstyle, 8k high definition detailed realistic, photon mapping, radiosity, physically-based rendering, backlight, 1girl, from behind, female chinese assassins creed outfit, chinese village, (female samurai:1.1), wearing a chinese straw hat, cherry trees, flying leaves, standing on the edge of a building, looking down the city",
  "negativePrompt": "embedding:ng_deepnegative_v1_75t, embedding:EasyNegativeV2, embedding:bad-hands-5, embedding:bad_prompt_version2-neg, monochrome",
  "samples": "4",
  "steps": "20",
  "scale": "7",
  "seed": "4592284",
  "clipSkip": "0",
  "width": "512",
  "height": "512",
  "scheduler": "EulerDiscreteScheduler",
  "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>
    
                        

Tell us about any details you want to generate

Specify things to not see in the output

Click To See More Samples
1744820136 Report This Model

Want to send some support? (Buy a cup at Ko-fi)

I very much appreciate the support!

RealCartoon - Special is, well special. This is a checkpoint that could maybe fit under an existing checkpoint I have (I.E. RealCartoon3D); but is either not fully fitting under one of them or is something that was the result of some fun messing around. Some of these "Variations" in the process of fine tuning the main checkpoints are just very cool but too soon to add as a version update OR are an in-between variation (with great results).

Version 1 happens to be a variation that I just had to share as a THANK YOU.

This will be the location I put those unique models that just do not fit under the main runs or is a variation that is in-between checkpoint versions. This checkpoint will not get an update for itself; but instead will get different "Versions" that come from the mains.

The process is normally the same as the other checkpoints (RealCartoon Series).

Prompt Settings:

(These settings are for A1111 ):

The below image is the top settings I recommend. I do not use a VAE normally as

(vae-ft-mse-840000-ema-pruned) is baked in.

Below are the normal settings I do run when generating most of my images.

Some variation of course happens depending on the desired outcome (I.E. Landscape). I also like to make portrait 512 by 904 as well. I only run batches when I am checking checkpoints or looking for that perfect image. This is normally set to 1

Sampling methods DPM++ SDE Karra and DPM++ 2M Karras do well as well.

Upscaler is either R-ESRGAN 4x+ or 4k-UltraSharp for most of my images.

The Upscale settings will vary depending on your computer.

Would run ADetailer if subject is in the distance as SD1.5 can sometimes fail at faces with distance people. Be careful if you have blurred subjects in backgrounds; as this can start "enhancing them" and thus mess with the overall look.

If you are having problems running A1111 you can change the "webui-user.bat" settings to help (by right clicking and opening in notepad):

  • set COMMANDLINE_ARGS= --xformers

If you do not have xformers or cannot install it, put the following instead:

  • set COMMANDLINE_ARGS= --disable-model-loading-ram-optimization --opt-sdp-no-mem-attention

To install xformers: how to install xformers

Prompt Recommendations:

When it comes to prompts that is really up to you. Here is some advice:

  1. Please be careful on the strength you add to LoRas as this can affect the overall look with the checkpoint. Stronger does not always mean better. I normally run 0.4 - 1 strengths depending on the LoRa.

  2. What is first in your prompt has higher priority.

  3. Having parathesis increases a priority, but having everything in them is almost as good as typing without them.

  4. Subtle changes in a prompt (to include punctuation) can change the image

  5. The seed helps in producing similar images with similar software and settings. It does not guarantee the same image as even a difference in software (I.E. ComfyUI) or hardware can affect it.

  6. If you want a more cartoon look (at least with this checkpoint) use the following near the front of the prompt: Anime, Cartoon, painted, or comic. This does not guarantee a look depending on the version; but it will lean more that way. This also works for Realistic looks (Realistic, real, etc).

  7. If you want Safe for work or not nudity to show up then make sure you put the following in your negative prompt: nude, nudity, naked, NSFW, nipples. Of course if you have this in your actual prompt then it will more then likely do it.

  8. The following is what I normally run in a negative prompt (you can click on easynagative or badhandv4 to get the files):

    easynegative,(badhandv4),(bad quality:1.3),(worst quality:1.3),watermark,(blurry),5-funny-looking-fingers

    NOTE: Badhandv4 is an embedding. So goes in the embedding folder of A1111

__________________________________________________________________________________________________

License & Use

This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.

  • 1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content.

  • 2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license.

  • 3. You may re-distribute the weights. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the modified CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully).

    Please read the full license here Stable Diffusion

Use Restrictions:

You agree not to use the Model or Derivatives of the Model:

- In any way that violates any applicable national, federal, state, local or international law or regulation

- For the purpose of exploiting, harming or attempting to exploit or harm minors in any way

- To generate or disseminate verifiably false information and/or content with the purpose of harming others

- To generate or disseminate personal identifiable information that can be used to harm an individual

- To defame, disparage or otherwise harass others

- For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation

- For any use intended to or which has the effect of discriminating against or harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics

- To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm

- For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories

- To provide medical advice and medical results interpretation

- To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).

Terms of use:

- You are solely responsible for any legal liability resulting from unethical use of this model(s)

- If you use any of these models for merging, please state what steps you took to do so and clearly indicate where modifications have been made.

Note:

If you see any conflicts or corrections to be made, please let me know.



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