• Home
  • Dashboard
  • Models
  • Wiro AppsApps
  • Pricing
  • Blog
  • Sign In
  • Sign Up
HomeDashboardModelsWiro AppsAppsPricing
Blog
Documentation
Sign In
Sign Up

Task History

  • Runnings
  • Models
  • Trains
Select project...
The list is empty
No results

You don't have task yet.

Go to Models
  • Models
  • wiro/Product Photoshoot
Models
Task History

wiro/
Product Photoshoot
Copy Prompt for LLM

View as Markdown
View as Markdown (Full)

Product Photoshoot

Save time and production costs with AI Product Photoshoot. Generate polished product images featuring adaptive lighting, varied angles, and contextual scenes. I...

268runs
1Comments

API Sample: wiro/Product Photoshoot

📚 For LLM Integration:

For complete parameter details and examples, please also review the markdown documentation at:
/models/wiro/product-photoshoot/llms.txt
/models/wiro/product-photoshoot/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 (Multipart)

                          
# ⚠️ 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/wiro/product-photoshoot"  \
-H "x-api-key: ${YOUR_API_KEY}" \
-H "x-nonce: ${NONCE}" \
-H "x-signature: ${SIGNATURE}" \
  // ⚠️ IMPORTANT:
  // - inputImage: up to 1 entry (files, URLs, or mixed)

  // Option 1: Send 1 inputImage as FILE
  -F "inputImage=@path/to/image1.jpg" \

  // Option 2: Send 1 inputImage as URL
  // -F "inputImage=https://example.com/image1.jpg" \

  -F "style=auto" \
  -F "plan=auto" \
  -F "outputType=both" \
  -F "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>
    
                        

Upload the product image to generate a professional photoshoot

Choose the photography style and environment for the product photoshoot. Default is auto

Choose the shot composition and framing for the product photograph. Default is auto

Click To See More Samples
1761224144 Report This Model

The AI Product Photoshoot model by Wiro is a next-generation AI-powered solution that transforms how brands, creators, and businesses produce product imagery. Designed for e-commerce, marketing, and advertising applications, it uses Wiro’s advanced machine learning and computer vision systems to generate high-quality, photorealistic visuals without cameras, lighting rigs, or physical studios.

By simply uploading a product image, users can instantly generate a wide range of styled shots featuring varied backdrops, lighting environments, props, and camera perspectives. The model intelligently adapts to product type, material, and context, producing natural reflections, realistic shadows, and balanced compositions. From clean studio layouts to lifestyle scenes, it delivers visuals that are both compelling and commercially ready.

Core Advantages

- Studio-Quality Output Without a Studio: Eliminate the need for photographers, lighting setups, and set design while maintaining professional-grade quality.

- Massive Time and Cost Savings: Create hundreds of image variations in minutes, drastically cutting down production cycles and marketing overhead.

- Customizable Style Controls: Adjust lighting, angles, and background tone to align with your brand identity and creative direction.

- Rapid A/B Testing: Test multiple versions of a product image to optimize click-through rates, engagement, and conversion performance.

- Seamless Integration: Available as an API for embedding into web, mobile, or SaaS platforms, enabling scalable automation in product pipelines.

Use Cases

- E-Commerce Stores: Generate consistent, on-brand product photos for catalogs, landing pages, and online marketplaces without traditional photography costs.

- Marketing and Advertising: Produce campaign-ready imagery for social media, digital ads, and promotional content that aligns with your creative strategy.

- Design and Creative Teams: Rapidly prototype visuals for packaging design, pitch decks, or brand presentations using diverse style presets.

- Retail and Consumer Brands: Maintain visual consistency across product lines, seasonal collections, and multi-platform campaigns.

- SaaS and Automation Platforms: Integrate the Wiro API to offer users instant AI-generated imagery inside content tools, design systems, or asset management platforms.

Why Choose Wiro’s AI Product Photoshoot

Traditional product photography involves significant costs in equipment, setup, and post-production. Wiro’s AI-driven model removes these barriers by making professional-grade visuals accessible at scale. Each output is optimized for texture accuracy, lighting balance, and brand coherence, allowing teams to focus on creativity rather than logistics.

Built for creators, developers, and businesses, the AI Product Photoshoot by Wiro helps you scale visual content production efficiently while maintaining quality and consistency.

Transform your product presentation with Wiro’s AI Product Photoshoot: where artificial intelligence meets creativity for the next generation of digital imagery.

Models

View All

We couldn't find any matching results.

Text to Video

MiniMax/hailuo-2.3

Experience the MiniMax Hailuo 2.3 API — optimized for cinematic precision, emotional depth, and seamless integration. Create high-quality motion sequences and expressive animations with consistent structure across every frame. Integrate easily into your workflows, web or mobile apps, and SaaS platforms for polished, production-ready results.
6
Text to Video

google/veo3.1

Access the Veo 3.1 API for high quality video generation with audio. View pricing, integration docs, and demo videos to start creating advanced scenes with simple API calls.
3
Social Media & Viral

wiro/Instagram Pose

Generate stylish Instagram-style poses with trendy angles, natural expressions, and modern aesthetic.
5
Image to Image

xiabs/DreamOmni2

DreamOmni2 is a multimodal AI model designed specifically for intelligent image editing, allowing users to modify existing visuals by adjusting elements like objects, lighting, textures, and style based on text or visual prompts.
2
Fast Inference

google/veo3.1-fast

Create high-fidelity 720p/1080p videos with audio using the Veo 3.1 Fast API. Fast integration, flexible pricing, image-to-video, scene control, and seamless creative tools.
3
Ecommerce

wiro/camera-angle-editor

wiro/camera-angle-editor is an advanced AI tool that instantly changes the camera perspective and angle of any existing image. Leveraging sophisticated spatial reconstruction, it eliminates the need for reshoots by synthesizing photorealistic new viewpoints, making it the fastest way for creators to maximize the versatility of their visual content.
1
Social Media & Viral

wiro/Virtual Try-On

Integrate the Wiro Virtual Try-On API to deliver hyper-realistic apparel fitting directly in your web, mobile, or SaaS platform. Generate lifelike visuals of users wearing new garments with precise texture mapping, pose alignment, and fabric simulation — ideal for online retail and fashion tech solutions.
1
Fast Inference

MiniMax/hailuo-2.3-Fast

Experience the MiniMax Hailuo 2.3 Fast API — optimized for low latency, stable motion, and scalable performance. Generate large animation sets or motion previews in seconds without sacrificing structure.
6
Logo of nvidia programLogo of nvidia program
Wiro AI brings machine learning easily accessible to all in the cloud.
  • WIRO
  • About
  • Blog
  • Careers
  • Contact
  • Light Mode
  • Product
  • Models
  • Pricing
  • Status
  • Documentation
  • Introduction
  • Start Your First Project
  • Example Projects

2025 © Wiro.ai | Terms of Service & Privacy Policy