| --- |
| license: creativeml-openrail-m |
| base_model: |
| - CompVis/stable-diffusion-v1-4 |
| tags: |
| - diffusion |
| - stable_diffusion |
| - lora |
| - text-to-image |
| - room_images_generation |
| library_name: diffusers |
| widget: |
| - text: >- |
| Design a modern home office with a large wooden desk facing a window, a |
| comfortable ergonomic chair, and shelves filled with books and decorative |
| items. Include a laptop on the desk, a small indoor plant, and a |
| motivational quote framed on the wall. The color scheme should be calm and |
| professional, with light gray walls and blue accents. |
| output: |
| url: images/example_izowsnvkj.png |
|
|
| --- |
| # 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) |
