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Generate Interiors of Room using AI

Written on . Posted in Stable Diffusion API.
Generate Interiors of Room using AI

In recent years, artificial intelligence (AI) has made significant strides in various fields, including interior design. AI is now being used to generate virtual renderings of room interiors, providing a powerful tool for interior designers, real estate agents, and homeowners alike. With the help of AI, it's now possible to preview how different design elements might work together and visualize new interior concepts with greater accuracy and detail than ever before.

In this article, we'll explore the process of generating interiors using AI. Whether you're an interior designer, a homeowner, or a real estate agent, you won't want to miss this exploration of how AI is transforming the world of interior design.

Generating Interiors

To generate the interiors, we will use the StableDiffusionAPI endpoint to create interiors. StableDiffusionAPI provides APIs to generate images. We can train our own models using our images. We can also fine-tune a model with custom images and create our own avatars. It offers several endpoints like this for image generation services. Find more about the API endpoints in the documentation

Before sending API requests, one must have an API key to send a request. For this, you need to sign up on the official website and get the API key. Once you get your API key you can send API requests using any programming language. In this tutorial, we will use python to send API requests. 

The API endpoint is: ‘’. This API endpoint takes the following parameters:

“key”: Your API key
“init_image”: A static link to your image
“prompt”: A sentence to guide the image generation process
“guidance_scale”: Image guidance scale
“steps”: Number of inference steps

We will use the requests module to send the API requests. The code to do that is as follows

import requests
url = ""
payload = {"key":"Your API key", "init_image":"", "prompt":"a room with trees and flowers","steps":50,"guidance_scale":7}
headers = {}
response = requests.request("POST", url, headers=headers, data=payload)

In the above code, we imported the requests module and gave the API endpoint URL. In the next step, we defined the input parameters for the API endpoint. Finally, we sent a response request to the API endpoint and printed the result. The above code produces a JSON object that contains the links to your output. The below image shows the original image and the generated interiors for the image.