Model Description: This checkpoint model employs the LoRA (Low-Rank Adaptation) architecture and has been trained on an extensive and diverse dataset, allowing it to generate realistic images of a wide range of objects and subjects. The model leverages advanced deep learning techniques to produce high-quality, detailed images that accurately reflect the characteristics of the target subjects. Through rigorous training and fine-tuning, the model has been optimized to generate images with high fidelity, coherence, and contextual relevance. The merged dataset, encompassing a broad spectrum of real-world images, enhances the model's versatility and robustness, making it a powerful tool for applications requiring photorealistic image generation across various domains.
ExtraRealisticSD
CHECKPOINT
Run63
Version Detail
SD 1.5
Model Description: This checkpoint model employs the LoRA (Low-Rank Adaptation) architecture and has been trained on an extensive and diverse dataset, allowing it to generate realistic images of a wide range of objects and subjects. The model leverages advanced deep learning techniques to produce high-quality, detailed images that accurately reflect the characteristics of the target subjects. Through rigorous training and fine-tuning, the model has been optimized to generate images with high fidelity, coherence, and contextual relevance. The merged dataset, encompassing a broad spectrum of real-world images, enhances the model's versatility and robustness, making it a powerful tool for applications requiring photorealistic image generation across various domains.
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