Generative Renders

Styling Architectural Renders

YEAR

Fall 2025

KEYWORDS

Image-conditioned Generation, Node-based Pipeline Engineering

TOOLS

Fuser, Comfy UI, Nano Banana 2.5, Flux, Stable Diffusion, LoRA

ADDITIONAL INFO

UCLA AUD Graduate Technology Seminar | Instructor: Laure Michelon

About the project

This project investigates contemporary AI-based workflows for constructing synthetic architectural representations. Using Stable Diffusion with ControlNet, LoRA fine-tuning, and emerging image models such as Flux, Nano Banana, and Qwen, the work translates simple Rhino massing models into layered, controlled generative renders.

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Generative Renders

Styling Architectural Renders

YEAR

Fall 2025

KEYWORDS

Image-conditioned Generation, Node-based Pipeline Engineering

TOOLS

Fuser, Comfy UI, Nano Banana 2.5, Flux, Stable Diffusion, LoRA

ADDITIONAL INFO

UCLA AUD Graduate Technology Seminar | Instructor: Laure Michelon

About the project

This project investigates contemporary AI-based workflows for constructing synthetic architectural representations. Using Stable Diffusion with ControlNet, LoRA fine-tuning, and emerging image models such as Flux, Nano Banana, and Qwen, the work translates simple Rhino massing models into layered, controlled generative renders.

Smooth Scroll
This will hide itself!

Generative Renders

Styling Architectural Renders

YEAR

Fall 2025

KEYWORDS

Image-conditioned Generation, Node-based Pipeline Engineering

TOOLS

Fuser, Comfy UI, Nano Banana 2.5, Flux, Stable Diffusion, LoRA

ADDITIONAL INFO

UCLA AUD Graduate Technology Seminar | Instructor: Laure Michelon

About the project

This project investigates contemporary AI-based workflows for constructing synthetic architectural representations. Using Stable Diffusion with ControlNet, LoRA fine-tuning, and emerging image models such as Flux, Nano Banana, and Qwen, the work translates simple Rhino massing models into layered, controlled generative renders.

Smooth Scroll
This will hide itself!

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