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ZipLoRA is an effective method for merging independently trained style and theme LoRAs, enabling content generation in any user-specified theme and style. Through an optimized approach, ZipLoRA preserves the original LoRAs' content and style generation capabilities while allowing for the re-contextualization of reference objects and offering control over style intensity. This method achieves significant improvements in both theme and style fidelity.
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