Orthogonal Fine-Tuning Unlocks New Capabilities for Creating Realistic Images with Precise Control over Generated Images
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The text-based image generation technology, which has long been a focal point of attention, has seen researchers introduce the Orthogonal Fine-Tuning (OFT) method, significantly enhancing the control over text-based image generation models. This method employs orthogonal transformation techniques to preserve the model's semantic generation capabilities while improving the quality and efficiency of the generated images. The advent of the OFT method opens up new possibilities for advertising and artistic creation, ushering in a new era of text-based image generation.
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