Generative Renders
Styling Architectural Renders
Styling Architectural Renders


Fall 2025
Image-conditioned Generation, Node-based Pipeline Engineering
Fuser, Comfy UI, Nano Banana 2.5, Flux, Stable Diffusion, LoRA
UCLA AUD Graduate Technology Seminar | Instructor: Laure Michelon
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.













Styling Architectural Renders


Fall 2025
Image-conditioned Generation, Node-based Pipeline Engineering
Fuser, Comfy UI, Nano Banana 2.5, Flux, Stable Diffusion, LoRA
UCLA AUD Graduate Technology Seminar | Instructor: Laure Michelon
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.













Styling Architectural Renders


Fall 2025
Image-conditioned Generation, Node-based Pipeline Engineering
Fuser, Comfy UI, Nano Banana 2.5, Flux, Stable Diffusion, LoRA
UCLA AUD Graduate Technology Seminar | Instructor: Laure Michelon
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.












