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--- |
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license: creativeml-openrail-m |
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base_model: |
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- CompVis/stable-diffusion-v1-4 |
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tags: |
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- diffusion |
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- stable_diffusion |
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- lora |
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- text-to-image |
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- room_images_generation |
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library_name: diffusers |
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--- |
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# Room Design Text-to-Image Generator (Fine-Tuned Stable Diffusion v1-4) |
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## Model Description |
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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. |
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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. |
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## Model Applications |
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This model can be used for: |
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- Interior design inspiration |
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- Visualizing room layouts for real estate |
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- Creative room design generation |
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- Architectural planning and visualization |
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## Model Details |
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- Base Model: CompVis/stable-diffusion-v1-4 |
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- Fine-tuning Method: LoRA (Low-Rank Adaptation) |
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- Training Dataset: A curated dataset of diverse room images, covering different room types, styles, and layouts. |
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(https://www.kaggle.com/datasets/ossm03/room-dataset-for-stable-diffusion/data) |
