The "PCB" LoRA project focuses on developing a specialized model for generating high-quality images of Printed Circuit Boards (PCBs) using the FLUX.1 framework. The training dataset consists of a diverse collection of PCB images, capturing various layouts, components (e.g., resistors, capacitors, ICs), and design patterns. This project aims to fine-tune the model to accurately replicate PCB structures, including traces, pads, vias, and solder masks, enabling the creation of realistic and detailed PCB visualizations for design, education, or prototyping purposes.
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FLUX.1
focuses on developing a specialized model for generating high-quality images of Printed Circuit Boards (PCBs) using the FLUX.1 framework. The training dataset consists of a diverse collection of PCB images, capturing various layouts, components (e.g., resistors, capacitors, ICs), and design patterns. This project aims to fine-tune the model to accurately replicate PCB structures, including traces, pads, vias, and solder masks, enabling the creation of realistic and detailed PCB visualizations for design, education, or prototyping purposes.
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