Name: Interior Remodel – AI Room Redesign | Free · $5/mo | API.market
Brand: magicapi
SKU: api-magicapi-interior-remodel-ai-image-generator
Availability: InStock
Rating: 5.00 (1 reviews)
Author: API Market

Shashank Agarwal

# 🏡 Interior Remodel Image Generator API (ComfyUI-Interior-Remodel)

## Overview
This API transforms interior images by removing existing furniture, preserving structural elements like windows, ceilings, and doors, and generating a clean, redesigned interior layout. Leveraging depth-based processing, furnishings and decor in the original photo are minimized so you can easily visualize and plan a remodel concept.

## Features
- Removes existing furniture while retaining key structural fixtures (e.g., windows, doors, ceilings).  
- Highly customizable output via prompts and negative prompts to refine the final image style.  
- Supports multiple output image formats (webp, jpg, png) with adjustable quality.  
- Asynchronous processing that allows you to poll for updates to accommodate longer-running tasks.  
- Optionally returns temporary files for debugging and development.  

## Use Cases
1. Interior Design Planning: Quickly generate new layouts and design concepts without manually editing out furniture.  
2. Renovation Visualization: Homeowners or real estate professionals can assess how an interior might look after a remodel.  
3. Furniture-Free Staging: Real estate agents can stage properties virtually without the previous owner’s furniture in the frame.  
4. Remodeling Proposals: Contractors can offer multiple design concepts to clients with realistic transformation previews.  
5. Architectural Workflow: Architects and interior designers can iterate on designs while preserving the structural context.

## Visual Examples

Below is an example of an input image (unprocessed interior that includes furniture). This typical “before” scenario might include dated or unwanted items:

![Example input living room](https://blog.api.market/wp-content/uploads/2026/04/interior-input-api-market.jpg)

After processing with a prompt like:  
“photo of a beautiful living room, modern design, modernist, cozy, high resolution, highly detailed, 4k”  

The output is a redesigned interior, furniture removed or replaced according to the prompt:

![Example output living room](https://blog.api.market/wp-content/uploads/2026/04/ComfyUI_00001_.webp)

These examples show how the API retains elements like windows and ceilings while providing a fresh interior concept.

## Pricing
• One API unit equals processing a single image.  
• GET requests to check prediction status (GET /api/v1/magicapi/interior-remodel-ai-image-generator/predictions/{id}) are free and do not count toward your API usage.  
• Multiple pricing tiers are available based on usage volume to accommodate different project sizes.

## API Documentation

### Base URL
All API requests should be sent to:  
```
https://prod.api.market/api/v1/magicapi/interior-remodel-ai-image-generator
```

### Authentication
Include your API key in the request header:  
```
x-magicapi-key: YOUR_API_MARKET_KEY
```

### Asynchronous Processing
This API handles requests asynchronously. The typical workflow is:  
1. Send a POST request to create a prediction.  
2. Receive a prediction ID in the response.  
3. Poll the GET endpoint with the prediction ID to check the status.  
4. When the status is "succeeded," retrieve the final output array containing your image URLs.  

Processing time varies with image complexity and prompt details. Recommended approach:  
- Poll every 1 second.  
- Implement a maximum timeout of 600 seconds (10 minutes).  
- Stop polling when status is "succeeded," "failed," or you hit the time limit.

### Endpoints

#### 1) Create a Prediction
• Method: POST  
• Path: /api/v1/magicapi/interior-remodel-ai-image-generator/predictions  

Use this to start the image remodeling process.

Example Request (cURL):
```bash
curl -X POST "https://prod.api.market/api/v1/magicapi/interior-remodel-ai-image-generator/predictions" \
  -H "Content-Type: application/json" \
  -H "x-magicapi-key: YOUR_API_MARKET_KEY" \
  -d '{
    "input": {
      "image": "https://example.com/my-room.jpg",
      "prompt": "photo of a beautiful living room, modern design, modernist, cozy, high resolution, highly detailed, 4k",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "blurry, illustration, distorted, horror",
      "randomise_seeds": true,
      "return_temp_files": false
    }
  }'
```

Example Response (201 Created):
```json
{
  "id": "ufawqhfynnddngldkgtslldrkq",
  "version": "2a360362540e1f6cfe59c9db4aa8aa9059233d40e638aae0cdeb6b41f3d0dcce",
  "status": "starting",
  "created_at": "2025-04-23T20:02:02.256Z"
}
```

#### 2) Check Prediction Status
• Method: GET  
• Path: /api/v1/magicapi/interior-remodel-ai-image-generator/predictions/{id}  

Use this to query the status of a prediction and retrieve results.

Example Request (cURL):
```bash
curl -X GET "https://prod.api.market/api/v1/magicapi/interior-remodel-ai-image-generator/predictions/ufawqhfynnddngldkgtslldrkq" \
  -H "x-magicapi-key: YOUR_API_MARKET_KEY"
```

Example Response (200 OK) when succeeded:
```json
{
  "id": "ufawqhfynnddngldkgtslldrkq",
  "status": "succeeded",
  "output": [
    "https://example.com/transformed-room.webp"
  ],
  "created_at": "2023-01-01T12:00:00.000Z",
  "started_at": "2023-01-01T12:00:05.000Z",
  "completed_at": "2023-01-01T12:01:00.000Z"
}
```

## Status Codes
Below are common HTTP status codes this API may return:

- 200 OK: Request was processed successfully.  
- 201 Created: Prediction was created successfully.  
- 400 Bad Request: Invalid input or malformed request. Check your JSON body and parameter formats.  
- 401 Unauthorized: Missing or invalid API key.  
- 403 Forbidden: Valid API key but insufficient permissions.  
- 404 Not Found: The requested resource does not exist (e.g., invalid prediction ID).  
- 429 Too Many Requests: Rate limit exceeded. Wait and retry or reduce request frequency.  
- 500 Internal Server Error: A general error occurred on the server.  
- 503 Service Unavailable: Service is temporarily unavailable, often due to high load or maintenance.

## Rate Limits
This API may enforce rate limits to ensure stability:
- If you receive a 429 Too Many Requests status, reduce your request frequency and implement backoff logic.  
- The free policy for GET requests to check prediction status does not count toward image processing units but still may be subject to rate-limiting to protect the service.

## Error Handling
When errors occur, the response will typically include a JSON structure describing the issue:

```json
{
  "error": {
    "code": "invalid_parameter",
    "message": "The parameter 'image' is required",
    "status": 400
  }
}
```

Best practices:
- Check the response code and the error message to adjust your request logic.  
- For transient server errors (5xx), implement a small retry with exponential backoff.  
- Correct input data for 4xx errors before retrying.

## Implementation Guide

### Example Code

Below are example implementations in JavaScript, Python, and cURL demonstrating how to create a prediction, poll for completion, and handle results. They also show how to incorporate a 10-minute timeout.

#### JavaScript (Node.js)

```javascript
// JavaScript example with polling and timeout
const apiKey = "YOUR_API_MARKET_KEY";
const baseUrl = "https://prod.api.market/api/v1/magicapi/interior-remodel-ai-image-generator";

async function createAndWaitForPrediction(inputData) {
  try {
    // 1. Create the prediction
    const response = await fetch(`${baseUrl}/predictions`, {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        "x-magicapi-key": apiKey
      },
      body: JSON.stringify({ input: inputData })
    });

    if (!response.ok) {
      throw new Error(`API error: ${response.status} ${response.statusText}`);
    }

    const prediction = await response.json();
    const predictionId = prediction.id;

    // 2. Poll for results with timeout
    return await pollForResults(predictionId);
  } catch (error) {
    console.error("Error:", error);
    throw error;
  }
}

function delay(ms) {
  return new Promise((resolve) => setTimeout(resolve, ms));
}

async function pollForResults(predictionId) {
  const MAX_TIMEOUT = 600000; // 10 minutes
  const POLL_INTERVAL = 1000; // 1 second

  const startTime = Date.now();

  while (Date.now() - startTime < MAX_TIMEOUT) {
    const response = await fetch(`${baseUrl}/predictions/${predictionId}`, {
      headers: {
        "x-magicapi-key": apiKey
      }
    });

    if (!response.ok) {
      throw new Error(`API error: ${response.status} ${response.statusText}`);
    }

    const prediction = await response.json();

    if (prediction.status === "succeeded") {
      return prediction.output;
    }

    if (prediction.status === "failed") {
      throw new Error(`Prediction failed: ${prediction.error || "Unknown error"}`);
    }

    await delay(POLL_INTERVAL);
  }

  throw new Error("Prediction timed out after 10 minutes");
}
```

#### Python

```python
# Python example with polling and timeout
import requests
import time

API_KEY = "YOUR_API_MARKET_KEY"
BASE_URL = "https://prod.api.market/api/v1/magicapi/interior-remodel-ai-image-generator"

def create_and_wait_for_prediction(input_data):
    # 1. Create the prediction
    headers = {
        "Content-Type": "application/json",
        "x-magicapi-key": API_KEY
    }
    response = requests.post(f"{BASE_URL}/predictions", headers=headers, json={"input": input_data})

    if response.status_code != 200 and response.status_code != 201:
        raise Exception(f"API error: {response.status_code} {response.text}")

    prediction = response.json()
    prediction_id = prediction["id"]

    # 2. Poll for results
    return poll_for_results(prediction_id)

def poll_for_results(prediction_id):
    MAX_TIMEOUT = 600  # 10 minutes in seconds
    POLL_INTERVAL = 1

    headers = {"x-magicapi-key": API_KEY}
    start_time = time.time()

    while time.time() - start_time < MAX_TIMEOUT:
        response = requests.get(f"{BASE_URL}/predictions/{prediction_id}", headers=headers)
        if response.status_code != 200:
            raise Exception(f"API error: {response.status_code} {response.text}")

        prediction = response.json()
        if prediction["status"] == "succeeded":
            return prediction["output"]

        if prediction["status"] == "failed":
            error_msg = prediction.get("error", "Unknown error")
            raise Exception(f"Prediction failed: {error_msg}")

        time.sleep(POLL_INTERVAL)

    raise Exception("Prediction timed out after 10 minutes")
```

#### cURL

```bash
# Step 1: Create a prediction
curl -X POST "https://prod.api.market/api/v1/magicapi/interior-remodel-ai-image-generator/predictions" \
  -H "Content-Type: application/json" \
  -H "x-magicapi-key: YOUR_API_MARKET_KEY" \
  -d '{
    "input": {
      "image": "https://example.com/image.jpg"
    }
  }'

# Response might be:
# {
#   "id": "abcd1234",
#   "status": "starting",
#   ...
# }

# Step 2: Check prediction status (repeat until status is "succeeded")
curl -X GET "https://prod.api.market/api/v1/magicapi/interior-remodel-ai-image-generator/predictions/abcd1234" \
  -H "x-magicapi-key: YOUR_API_MARKET_KEY"
```

### Performance Optimization
- Provide focused prompts to reduce processing time and generate more accurate results.  
- If you plan to process many images, consider batching requests or staggering them to avoid surges.  
- Monitor status codes to handle rate limits gracefully.

## FAQ
1. Do I have to remove furniture first?  
   - No. The API automatically uses depth control to de-emphasize existing items.  

2. How quickly are images typically processed?  
   - Most images complete in under a minute, but complex scenes or high-resolution prompts can take longer.  

3. Can I request multiple images in a single call?  
   - Each request processes one image. You can run multiple requests in parallel or sequentially.  

4. Does image format affect processing time?  
   - The difference is typically negligible, but higher-resolution images require more resources.  

5. Are there usage-based discounts?  
   - Yes, volume-based pricing tiers are available.  

## Contact Us
If you have any questions or need assistance, you can reach out to us through the embedded chat on the bottom right corner of the page or send an email to hello[at]api.market.

Redesign interiors by removing furniture while preserving structural elements. Free 10 calls/mo, from $4.99/mo. Start free on API.market.

Interior Remodel – AI Room Redesign | Free · $5/mo | API.market

🏡 Interior Remodel Image Generator API (ComfyUI-Interior-Remodel)

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Redesign interiors while preserving structural elements—AI removes furniture for clean, realistic remodel visualizations in seconds.