Input

image

*file

Input image of the room

prompt

string

Shift + Return to add a new line

modern minimalistic living room, masterfully designed interior, photorealistic, interior design magazine quality, 8k uhd, highly detailedmodern minimalistic living room, masterfully designed interior, photorealistic, interior design magazine quality, 8k uhd, highly detailed

Desired style description

Default: "masterfully designed interior, photorealistic, interior design magazine quality, 8k uhd, highly detailed"

negative_prompt

string

Shift + Return to add a new line

ugly, deformed, noisy, blurry, low quality, glitch, distorted, disfigured, bad proportions, duplicate, out of frame, watermark, signature, text, bad hands, bad anatomyugly, deformed, noisy, blurry, low quality, glitch, distorted, disfigured, bad proportions, duplicate, out of frame, watermark, signature, text, bad hands, bad anatomy

What to avoid in the generation

Default: "ugly, deformed, noisy, blurry, low quality, glitch, distorted, disfigured, bad proportions, duplicate, out of frame, watermark, signature, text, bad hands, bad anatomy"

depth_strength

number

(minimum: 0, maximum: 1)

Depth ControlNet strength

Default: 0.8

num_inference_steps

integer

(minimum: 4, maximum: 8)

Number of denoising steps

Default: 6

guidance_scale

number

(minimum: 1, maximum: 20)

Guidance scale

Default: 7.5

Run this model in Node.js with one line of code:

npx create-replicate --model=rocketdigitalai/interior-design-sdxl-lightning

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run rocketdigitalai/interior-design-sdxl-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "rocketdigitalai/interior-design-sdxl-lightning:5d8da4e5c98fea03dcfbe3ec89e40cf0f4a0074a8930fa02aa0ee2aaf98c3d11",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MQujhuJQi0buJhmcXNlTHic3fYUPzTaS4OsM4wLFlxmfn8mL/photo2.png",
      prompt: "modern minimalistic living room, masterfully designed interior, photorealistic, interior design magazine quality, 8k uhd, highly detailed",
      depth_strength: 0.8,
      guidance_scale: 7.5,
      negative_prompt: "ugly, deformed, noisy, blurry, low quality, glitch, distorted, disfigured, bad proportions, duplicate, out of frame, watermark, signature, text, bad hands, bad anatomy",
      num_inference_steps: 6
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run rocketdigitalai/interior-design-sdxl-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "rocketdigitalai/interior-design-sdxl-lightning:5d8da4e5c98fea03dcfbe3ec89e40cf0f4a0074a8930fa02aa0ee2aaf98c3d11",
    input={
        "image": "https://replicate.delivery/pbxt/MQujhuJQi0buJhmcXNlTHic3fYUPzTaS4OsM4wLFlxmfn8mL/photo2.png",
        "prompt": "modern minimalistic living room, masterfully designed interior, photorealistic, interior design magazine quality, 8k uhd, highly detailed",
        "depth_strength": 0.8,
        "guidance_scale": 7.5,
        "negative_prompt": "ugly, deformed, noisy, blurry, low quality, glitch, distorted, disfigured, bad proportions, duplicate, out of frame, watermark, signature, text, bad hands, bad anatomy",
        "num_inference_steps": 6
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run rocketdigitalai/interior-design-sdxl-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "rocketdigitalai/interior-design-sdxl-lightning:5d8da4e5c98fea03dcfbe3ec89e40cf0f4a0074a8930fa02aa0ee2aaf98c3d11",
    "input": {
      "image": "https://replicate.delivery/pbxt/MQujhuJQi0buJhmcXNlTHic3fYUPzTaS4OsM4wLFlxmfn8mL/photo2.png",
      "prompt": "modern minimalistic living room, masterfully designed interior, photorealistic, interior design magazine quality, 8k uhd, highly detailed",
      "depth_strength": 0.8,
      "guidance_scale": 7.5,
      "negative_prompt": "ugly, deformed, noisy, blurry, low quality, glitch, distorted, disfigured, bad proportions, duplicate, out of frame, watermark, signature, text, bad hands, bad anatomy",
      "num_inference_steps": 6
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

8.4 seconds

Tweak it ShareReport

Examples

View more examples

Run time and cost

This model costs approximately $0.011 to run on Replicate, or 90 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 9 seconds. The predict time for this model varies significantly based on the inputs.

Readme

AI Interior Designer

🏠 Transform Your Space with AI-Powered Interior Design

This AI model enhances interior images by generating photorealistic, high-resolution designs based on user-defined prompts. It utilizes Stable Diffusion XL, ControlNet, and the RealVisXL V5.0-Lightning model to create faster, detailed, professional-quality interior visualizations.

🔹 How It Works

Upload an Image – Provide an input image of an interior space.
Describe Your Style – Enter a prompt (e.g., “modern minimalist, cozy, warm lighting”).
AI Processing:
Depth ControlNet: Generates a depth map to enhance object positioning and perspective.
Stable Diffusion XL (SDXL) Base Model: Uses RealVisXL V5.0-Lightning, optimized for ultra-realistic renders.
Refinement Stage: The SDXL Refiner further enhances clarity, lighting, and textures.
Generate & Download – AI outputs a high-quality interior design based on the input settings.

🛠️ Technologies Used

Base Model: RealVisXL V5.0-Lightning (Optimized for faster photorealistic, high-resolution outputs).
Stable Diffusion XL (SDXL): State-of-the-art AI for text-to-image and image-to-image generation.
ControlNet Depth: Extracts and preserves depth information from input images.
Intel DPT-Large Depth Estimation: Generates an initial depth map for improved spatial consistency.
Schedulers: Supports DPM++ 2M Karras (high quality).

⚙️ Adjustable Parameters

Parameter	Description	Default Value
Prompt	Describe the desired style and theme.	`"masterpiece, photorealistic, interior design magazine quality"`
Negative Prompt	Define elements to avoid (e.g., distortions, noise).	`"ugly, deformed, blurry, watermark"`
Scheduler	DPM++ 2M Karras
Depth Strength	Control the influence of the Depth ControlNet.	`0.8`
Inference Steps	Number of denoising steps for image refinement.	`6`
Guidance Scale	Adjusts how closely the output follows the prompt.	`7`

rocketdigitalai / interior-design-sdxl-lightning

Input

Output

Examples

Run time and cost

Readme

AI Interior Designer

🏠 Transform Your Space with AI-Powered Interior Design

🔹 How It Works

🛠️ Technologies Used

⚙️ Adjustable Parameters

Logs (atc9rq5b79rj20cms9pswxwc1m)