Develop Stable Diffusion Model to Transform Architectural Drawings into Designed Floor Plans

We are seeking an experienced AI/ML developer to create a Stable Diffusion model capable of transforming architectural drawings into high-quality, graphically designed floor plans suitable for sales and marketing purposes. The ideal candidate will have a strong background in machine learning, computer vision, and experience with diffusion models.

Project Requirements:

Model Development:

Develop a Stable Diffusion model that can accurately interpret architectural drawings and convert them into graphically designed floor plans.
Ensure the model can handle various styles and complexities of architectural drawings.
Data Preparation:

Collect and preprocess a diverse dataset of architectural drawings and corresponding designed floor plans for training and testing the model.
Model Training and Validation:

Train the model using the prepared dataset.
Validate the model's performance using appropriate metrics to ensure high accuracy and reliability.
User Interface:

Develop a user-friendly interface where users can upload architectural drawings and receive the generated floor plans.
Ensure the interface is intuitive and easy to use for individuals with minimal technical knowledge.
Documentation and Support:

Provide comprehensive documentation covering model architecture, training process, and user guide for the interface.
Offer post-deployment support for any issues or updates needed.
Skills and Qualifications:

Proven experience in developing and deploying machine learning models, specifically diffusion models.
Strong understanding of computer vision and image processing techniques.
Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.
Experience with data preprocessing and augmentation for training machine learning models.
Ability to develop user-friendly interfaces for non-technical users.
Strong problem-solving skills and attention to detail.