LoRA (Low-Rank Adaptation)
A method for fine-tuning large neural networks on a narrow task without retraining the whole model. Used to specialise Stable Diffusion per interior style.
In depth
LoRA (Low-Rank Adaptation) is an efficient fine-tuning method introduced by Microsoft in 2021. Instead of updating every weight in the base model, LoRA injects small low-rank matrices — typically 1–5% of the original model size. That makes it possible to adapt Stable Diffusion to ten thousand interiors in 4–8 hours on a single A100 GPU, versus weeks for a full fine-tune. Morf Vision ships a separate LoRA per interior style, so a loft prompt and a Japandi prompt draw on different learned aesthetics rather than one averaged look.
Examples
- 1.A 50 MB LoRA dedicated to Japanese minimalism
- 2.A loft LoRA that renders exposed brick and metal out of the box
Morf Vision is a platform that automates interior design using the technologies described above.
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