Finetuned_diffusion_interiordesign

Room Design Text-to-Image Generator (Fine-Tuned Stable Diffusion v1-4)

Model Description

This model is a fine-tuned version of the CompVis/stable-diffusion-v1-4, trained specifically on a custom dataset of room images using LoRA (Low-Rank Adaptation). This fine-tuning technique allows the model to specialize in generating diverse room layouts, shapes, and designs based on text prompts while maintaining the computational efficiency of the original architecture.

The LoRA method enables the model to focus on room-specific features and design patterns without the need for extensive retraining or large-scale computational resources. It is ideal for scenarios requiring text-to-image generation that aligns with specific room descriptions.

Model Applications

This model can be used for:

• Interior design inspiration
• Visualizing room layouts for real estate
• Creative room design generation
• Architectural planning and visualization

Model Details

• Base Model: CompVis/stable-diffusion-v1-4
• Fine-tuning Method: LoRA (Low-Rank Adaptation)
• Training Dataset: A curated dataset of diverse room images, covering different room types, styles, and layouts. (https://www.kaggle.com/datasets/ossm03/room-dataset-for-stable-diffusion/data)