image-generation

Create Stunning Interior Designs with Airrange Cognitive Actions

26 Apr 2025
Create Stunning Interior Designs with Airrange Cognitive Actions

In today's fast-paced digital world, the ability to generate high-quality images quickly can be a game-changer for developers in creative fields. Airrange offers Cognitive Actions that empower developers to create realistic interior design images using advanced image inpainting techniques. Whether you are building a home design application, an interior visualization tool, or simply looking to enhance your portfolio with stunning visuals, Airrange provides an efficient solution to meet your needs.

With features such as customizable aspect ratios, various high-quality output formats, and the option to choose between detailed and quick generation models, Airrange helps simplify the image generation process. This service is particularly beneficial for interior designers, architects, and content creators seeking to visualize concepts before execution. Imagine being able to generate a sleek, modern living room image with just a simple prompt—this is the transformative potential of Airrange.

Prerequisites

To get started with Airrange, you will need a Cognitive Actions API key and a basic understanding of API call structures.

Generate Interior Design Image

The Generate Interior Design Image action is designed to create realistic interior design visuals through advanced image inpainting techniques. This action is particularly useful for developers who want to integrate image generation capabilities into their applications.

Purpose

This action solves the problem of needing high-quality, visually appealing interior design images without the requirement for extensive manual graphic design skills. It allows users to create tailored images based on specific prompts, making it ideal for showcasing design ideas.

Input Requirements

The action requires a comprehensive input schema, which includes:

  • prompt: A detailed text description of the desired image, such as "a sleek, modern living room with minimalist furniture."
  • image: A URI for an input image for inpainting mode.
  • model: Select between "dev" for detailed imagery or "schnell" for quick generation.
  • aspect_ratio: Define the aspect ratio for the output image.
  • width and height: Specify dimensions if using a custom aspect ratio.
  • imageQuality: Set the quality on a scale of 0 to 100.
  • outputCount: Number of images to generate (1-4).

Expected Output

The expected output will be a high-quality image in the specified format (webp, jpg, png) based on the input parameters. For example, a generated image URL might look like:

  • https://assets.cognitiveactions.com/invocations/e3a6984c-367b-44b2-bbbd-b3ac9ba43ce4/a67c9cc6-fb6b-4705-a4ee-bae19eb3a0e6.webp

Use Cases for this Action

  • Interior Design Applications: Developers can use this action to enable users to visualize different interior design styles based on their preferences.
  • Real Estate Marketing: Real estate platforms can generate appealing images of properties to attract potential buyers.
  • Content Creation: Bloggers and content creators can use generated images to enhance their articles and presentations about home decor and design trends.

```python
import requests
import json

# Replace with your actual Cognitive Actions API key and endpoint
# Ensure your environment securely handles the API key
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
# This endpoint URL is hypothetical and should be documented for users
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute"

action_id = "80396a10-d6d1-4cf2-999c-b3e1a2118a26" # Action ID for: Generate Interior Design Image

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "image": "https://replicate.delivery/pbxt/Lc0omHYy4o85lfw2YPfgHfiKXdUv62MMA9JYpafvk2o93qfX/1000_F_221448410_fH00fRvgGU7V1yRGpLMKuacsC82UETrj.jpg",
  "model": "dev",
  "prompt": " a sleek, modern living room, The room features minimalist yet elegant furniture, such as a low-profile leather sofa in a neutral tone, complemented by a glass coffee table with chrome accents, warm ambient light from recessed ceiling fixtures and a stylish pendant lamp hanging over the seating area, A large abstract painting or statement art piece decorates one wall, The color palette is a mix of soft grays, whites, and blacks with touches of metallic elements, creating a sophisticated yet cozy ambiance, A plush area rug anchors the seating area, Potted plants bring in a touch of greenery, The overall vibe is one of understated luxury, merging the comfort of home, the windows are overlooking skyscrapers",
  "imageFormat": "webp",
  "outputCount": 1,
  "imageQuality": 90,
  "loraIntensity": 1,
  "inferenceSteps": 28,
  "promptIntensity": 0.8,
  "imageAspectRatio": "1:1",
  "diffusionGuidance": 3.5,
  "additionalLoraScale": 1
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json",
    # Add any other required headers for the Cognitive Actions API
}

# Prepare the request body for the hypothetical execution endpoint
request_body = {
    "action_id": action_id,
    "inputs": payload
}

print(f"--- Calling Cognitive Action: {action.name or action_id} ---")
print(f"Endpoint: {COGNITIVE_ACTIONS_EXECUTE_URL}")
print(f"Action ID: {action_id}")
print("Payload being sent:")
print(json.dumps(request_body, indent=2))
print("------------------------------------------------")

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json=request_body
    )
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully. Result:")
    print(json.dumps(result, indent=2))

except requests.exceptions.RequestException as e:
    print(f"Error executing action {action_id}: {e}")
    if e.response is not None:
        print(f"Response status: {e.response.status_code}")
        try:
            print(f"Response body: {e.response.json()}")
        except json.JSONDecodeError:
            print(f"Response body (non-JSON): {e.response.text}")
    print("------------------------------------------------")



### Conclusion
The Airrange Cognitive Actions provide developers with powerful tools to create stunning interior design images efficiently. By leveraging advanced image generation capabilities, applications can deliver high-quality visuals that enhance user experience and engagement. As you explore the possibilities with Airrange, consider how you can integrate these actions into your projects to streamline design processes and elevate your offerings. The next step is to obtain your API key and start experimenting with the image generation capabilities that Airrange has to offer!
← Back to All Articles