AI-Driven Architectural Visualization Pipeline
Research & Development
Status
ongoing
Domain
AI, Architecture, Visualization
Year
2024
Overview
An experimental workflow combining stakeholder input with AI models to generate architectural visualizations
Context
Traditional architectural visualization methods often fail to effectively incorporate stakeholder feedback in early design stages.
Objectives
- Develop an AI-driven visualization pipeline
- Integrate stakeholder feedback directly into the visualization process
- Create more contextually aware architectural renders
Methodology
Multi-stage AI pipeline integrating stakeholder feedback with various AI models for architectural visualization
Stakeholder Input Collection
Structured survey to capture stakeholder vision and requirements
Outputs
- Stakeholder preferences
- Site requirements
Tools
- Custom React form
AI Prompt Engineering
Processing survey data into structured prompts for image generation
Inputs
- Survey responses
Outputs
- Structured prompts
Tools
- NLP models
Primary Visualization
Generate initial architectural visualizations using Flux.1 model
Inputs
- Structured prompts
Outputs
- Initial renders
Tools
- Flux.1
Style Integration
Apply style transfer to combine existing architecture with new designs
Inputs
- Site images
- Initial renders
Outputs
- Style-transferred images
Tools
- Style transfer model
Context-Aware Rendering
Final rendering incorporating site context and architectural constraints
Inputs
- Site images
- Original prompts
Outputs
- Final visualizations
Tools
- Stable Diffusion
- ControlNet
Implementation
Technologies
Frameworks
Outcomes
Stakeholder-Driven Renders
AI-generated visualizations based on stakeholder input
Prompt Generation Pipeline
System for converting stakeholder input to AI prompts