Fine-tuned Stable Diffusion models can generate 500 synthetic watermelon disease images from about 36 curated real images, and the medium-sized model SD3.5M is the most computationally efficient.
Weed image augmentation by controlnet-added stable diffusion for multi-class weed detec- tion
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PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach
Fine-tuned Stable Diffusion models can generate 500 synthetic watermelon disease images from about 36 curated real images, and the medium-sized model SD3.5M is the most computationally efficient.