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Flux Pro operates on the principle of fine-tuning, a method that allows the AI to adapt based on minimal input, specifically five to twenty images in standard formats like JPEG or PNG. Users can upload these images that represent their desired style, theme, or product. They may also add text descriptions to enhance context or to refine the generated outputs further.
Once the images are uploaded, Flux Pro uses sophisticated algorithms to analyze the data, creating a customized version of its AI model. This tailored model maintains the versatility of the original while closely aligning with the user's vision. Users can even further adjust parameters like iteration counts and learning rates, ensuring that the AI outputs are both precise and adaptable to their specific needs.