TL;DR:
The Decor8 AI API has received a major update, bringing custom prompt controls, performance enhancements, and new developer tools. Users can now fine-tune Stable Diffusion & ControlNet settings, utilize negative prompts, guidance scale, and seed parameters for better control, and benefit from faster response times with intelligent caching and parallelism.
We've also launched an interactive API demo, updated SDKs for Python, Node.js, and Dart, and improved performance and scalability for virtual staging and AI-powered interior design applications. Whether you're building next-gen interior design solutions or optimizing AI-generated room transformations, Decor8 AI API delivers enterprise-grade reliability, speed, and flexibility.
🔗 Get Started Today: Official Decor8 AI API Documentation
Decor8 AI API for Virtual Staging: New Features, Enhancements, and Developer Tools
Introduction
We’re thrilled to announce a major update to the Decor8 AI API, packed with powerful new features, optimizations, and developer tools. Your feedback has been invaluable in shaping these updates, and we appreciate your continued support. Our goal is to make the Decor8 AI platform even more flexible, efficient, and user-friendly for developers looking to build next-generation interior design applications.
In this blog post, we’ll walk through the latest Decor8 AI API enhancements, performance improvements, and developer-focused tools that will elevate your experience and productivity.
1. More Control with Custom Prompting
One of the most requested features from our community has been the ability to customize prompts. We took this feedback seriously and went beyond just opening up prompts—we have also added several advanced customization options to give you greater flexibility in how you generate interior designs.
New Customization Parameters:
✅ Custom prompts with prefix/suffix options – Tailor your prompt structure for more predictable results.
✅ Negative prompts – Exclude unwanted elements from the generated images.
✅ Guidance scale & inference step controls – Adjust image generation balance between creativity and precision.
✅ Seed parameter – Generate reproducible results for better consistency.
These options allow for fine-grained control over image generation while keeping the API simple—everything remains optional. If you prefer, you can let the API handle defaults while taking advantage of these advanced settings when needed.
📖 More details: Official Decor8 AI API Documentation
2. Leveraging Stable Diffusion & ControlNet for AI Interior Design
While traditional Stable Diffusion and ControlNet approaches can work for basic interior design tasks, they often fall short when dealing with real-world room photos, especially for virtual staging. Decor8 AI API enhances these models with specialized improvements to ensure high-quality, production-ready outputs. If you've played with ControlNet + Stable Diffusion, you would know the amount of trial and error you have to do get decent looking results, specially for empty rooms. We've solved this problem and I encourage you to give Decor8 AI API a chance.
How Decor8 AI Uses Stable Diffusion & ControlNet:
🖼 Stable Diffusion interior design model – Fine-tuned for furniture placement and realistic room transformations.
🎨 Enhanced ControlNet for virtual staging – Ensures precise furniture arrangement based on room structure.
📐 Advanced image segmentation – Understands room layouts and objects in it to improve AI-generated staging accuracy.
🏠 Intelligent empty room detection – Identifies empty spaces and fills them realistically.
🔍 AI-Powered Upscaler – Adds fine details to enhance image sharpness and resolution.
By integrating these advanced AI components, Decor8 AI API provides a fast, scalable, and reliable alternative to traditional AI-powered interior design methods.
3. Performance & Quality Improvements
We’ve been hard at work optimizing response times and image quality. Whether it’s concurrency handling, AI model selection, caching mechanisms, or GPU acceleration, we’ve implemented several major enhancements to deliver a faster and more seamless experience.
What’s Improved?
🚀 Fast AI-powered interior design API – Optimized for near-real-time response and efficiency.
🚀 Intelligent caching system – Faster segmentation results, reducing redundant processing.
🚀 Significantly reduced processing time – Image generation is now 8-20 seconds faster! (Even if all models are warm, it could take up to 30 seconds to generate an image, now it takes under 14 seconds - that's more than 50% savings in round trip.)
🚀 Parallelism improvements – Optimized concurrency in segmentation, image generation, and upscaling phases of the pipeline.
🚀 Original aspect ratio preservation – Ensures output images maintain their real-world proportions.
These enhancements significantly reduce wait times while maintaining high-quality results, making the API more production-ready than ever.
4. New Developer Tools
We want to make the Decor8 AI API as accessible and easy to use as possible. That’s why we’ve launched a suite of new developer tools designed to streamline integration and accelerate development.
What's New?
🛠 API Demo Application with Interactive Examples – Test and explore API capabilities effortlessly.
🛠 Updated SDKs & Libraries:
New Python module View on PyPi
New Node.js package View on npmjs
Our scalable AI virtual staging API ensures developers can rapidly build AI-powered room design applications in Python, Node.js, and Dart.
These updates ensure that integrating Decor8 AI API into your applications is smooth, efficient, and well-documented.
Final Thoughts
These updates reflect our commitment to continuously improving the Decor8 AI API—giving developers more control, better performance, and powerful new tools to build the next generation of AI-powered interior design applications.
We can’t wait to see what you create with the new and improved Decor8 AI API!
🔗 Get Started Today: Official Decor8 AI API Documentation
💬 Have questions or feedback? We’d love to hear from you! Reach out via decor8@immex.tech
Happy coding! 🚀
Author: Akhilesh Joshi
Creator of DreamzAR.app and Decor8.ai
Founder @ Immex Technologies, Inc.
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