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AI Visualization for Architecture Firm

Concept sketches to photorealistic renders in minutes — with complete privacy for unreleased designs.

15 Staff 50+ Iterations/Project Sketch to Render: Minutes 100% Private

Client Overview

Client Type

HK architecture firm (15 staff)

Hardware

Mac Studio M3 Ultra · 192GB unified memory · 2TB SSD

Challenge

Slow concept visualization, privacy of unreleased designs

Result

Renders in minutes, 50+ iterations per project, fully private

The Challenge

Days between sketch and render

Client presentations required photorealistic concept renders, but traditional rendering workflows took days. The firm could only show 2 to 3 variations per meeting, limiting design exploration and client satisfaction.

Uploading unreleased building designs to cloud AI services posed unacceptable IP risks. Competing firms and developers could potentially access early-stage concepts, undermining the firm's competitive advantage.

The Solution

Local AI rendering pipeline

We configured a Mac Studio M3 Ultra with ComfyUI and ControlNet for architectural rendering. Architects can sketch a concept, feed it through the AI pipeline, and get photorealistic visualizations in minutes — all on-device.

  • ControlNet for sketch-to-render with architectural precision
  • Style transfer for different architectural aesthetics
  • Vision model for analysing reference images and styles
  • Batch generation for rapid iteration during meetings

Results

Measurable impact

20
Variations/Meeting
Up from 2–3 variations per client presentation
50+
Iterations/Project
Rapid design exploration with instant feedback
100%
Design Privacy
Zero unreleased designs ever leave the office

We can now show clients 20 variations in a meeting instead of coming back next week with 3.

— Principal Architect, HK Architecture Firm

Tech Stack

Tools powering this solution

ComfyUI

Node-based workflow for architectural rendering pipelines

Stable Diffusion XL

High-resolution image generation optimised for architecture

ControlNet

Sketch-to-render with structural precision and edge detection

Vision Model

Reference image analysis for style matching and adaptation

Hardware Used

Mac Studio M3 Ultra

28
Core CPU
60
Core GPU
192GB
Unified Memory
2TB
SSD Storage

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