## Basic tool info

Tool name: wiro/train-sd-lora
Tool description: LoRA training is a low-rank adaptation technique used to fine-tune Stable Diffusion (SD) models, enabling personalized model outputs with minimal computational overhead.
Tool cover: https://cdn.wiro.ai/uploads/models/wiro-dreambooth-lora-cover.jpg
Tool categories:
  - tool
  - train
  - sd
  - text-to-image


Run Task Endpoint (POST):
https://api.wiro.ai/v1/Run/wiro/train-sd-lora

Get Task Detail Endpoint (POST):
https://api.wiro.ai/v1/Task/Detail

## Tool Inputs: 

  - name: trainModelName
    label: trained-model-name
    help: train-model-name-help
    type: text
    default: 

  - name: trainModelDescription
    label: train-model-description
    help: train-model-description-help
    type: textarea
    default: 

  - name: referenceModel
    label: reference-model
    help: reference-model-help
    type: select
    default: 
    options:
      - value: "53"
        label: Falah/fashion-model
        description: Generate images of fashionable clothes for women based on SD 1.5.
        triggerwords: []
        generatesettings: []

      - value: "49"
        label: wavymulder/modelshoot
        description: Modelshoot is trained on a diverse set of photographs of people. The goal was to create a model focused on full to medium body shots, with cool clothing and a fashion-shoot aesthetic.
        triggerwords: ["modelshoot style"]
        generatesettings: []

      - value: "6"
        label: wavymulder/portraitplus
        description: A dreambooth model trained on a diverse set of close to medium range portraits of people.
        triggerwords: ["portrait+ style"]
        generatesettings: []

      - value: "5"
        label: prompthero/openjourney-v4
        description: A text-to-image diffusion model that makes AI art images in the style of Midjourney.
        triggerwords: []
        generatesettings: []

      - value: "55"
        label: Yntec/CinemaEros
        description: This model is commonly used for photoreal women, pictures, portraits, candids, fashion shows, softcore, and erotic nudes.
        triggerwords: []
        generatesettings: []

  - name: referenceModelPrivate
    label: reference-model-private
    help: reference-model-private-help
    type: select
    default: 
    options:


  - name: classificationDataSet
    label: classification-dataset
    help: classification-dataset-help
    type: radio
    default: 



## Integration Header Prepare 
```bash
  # 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}")";
```

## Run Command - Make HTTP Post Request 
```bash
curl -X POST "https://api.wiro.ai/v1/Run/wiro/train-sd-lora" 
-H "Content-Type: multipart/form-data" 
-H "x-api-key: ${YOUR_API_KEY}" 
-H "x-nonce: ${NONCE}" 
-H "x-signature: ${SIGNATURE}" 
-d '{
  "trainModelName": "",
  "trainModelDescription": "",
  "referenceModel": "",
  "referenceModelPrivate": "",
  "classificationDataSet": "",
  "callbackUrl": "You can provide a callback URL; Wiro will send a POST request to it when the task is completed."
}';
```


## Run Command - Response
```json
{
    "errors": [],
    "taskid": "2221",
    "socketaccesstoken": "eDcCm5yyUfIvMFspTwww49OUfgXkQt",
    "result": true
}
```


## Get Task Detail - Make HTTP Post Request
```bash
curl -X POST "https://api.wiro.ai/v1/Task/Detail"  
-H "Content-Type: multipart/form-data" 
-H "x-api-key: ${YOUR_API_KEY}" 
-H "x-nonce: ${NONCE}" 
-H "x-signature: ${SIGNATURE}" 
-d '{
  "tasktoken": 'eDcCm5yyUfIvMFspTwww49OUfgXkQt',
}';
```

## Get Task Detail - Response
```json
{
  "total": "1",
  "errors": [],
  "tasklist": [
      {
          "id": "2221",
          "uuid": "15bce51f-442f-4f44-a71d-13c6374a62bd",
          "socketaccesstoken": "eDcCm5yyUfIvMFspTwww49OUfgXkQt",
          "parameters": {},
          "debugoutput": "",
          "debugerror": "",
          "starttime": "1734513809",
          "endtime": "1734513813",
          "elapsedseconds": "6.0000",
          "status": "task_postprocess_end",
          "createtime": "1734513807",
          "canceltime": "0",
          "assigntime": "1734513807",
          "accepttime": "1734513807",
          "preprocessstarttime": "1734513807",
          "preprocessendtime": "1734513807",
          "postprocessstarttime": "1734513813",
          "postprocessendtime": "1734513814",
          "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",
                  "url": "https://cdn1.wiro.ai/6a6af820-c5050aee-40bd7b83-a2e186c6-7f61f7da-3894e49c-fc0eeb66-9b500fe2/0.png"
              }
          ],
          "size": "202472"
          }
      ],
  "result": true
}
```


## Task Status Information
This section defines the possible task status values returned by the API when polling for task completion.

### Completed Task Statuses (Polling can stop)
These indicate that the task has reached a terminal state — either success or failure. Once any of these is received, polling should stop.
- task_postprocess_end : Task completed successfully and post-processing is done.
- task_cancel : Task was cancelled by the user or system.

### Running Task Statuses (Continue polling)
These statuses indicate that the task is still in progress. Polling should continue if one of these is returned.
- task_queue : Task is waiting in the queue.
- task_accept : Task has been accepted for processing.
- task_assign : Task is being assigned to a worker.
- task_preprocess_start : Preprocessing is starting.
- task_preprocess_end : Preprocessing is complete.
- task_start : Task execution has started.
- task_output : Output is being generated.