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Dear team, thank you for the great contribution to the community, I'm wondering if this algorithm could be applied to train a Lora(s) that combines several different concepts like a character holding a gun while driving a motorbike? I have several images depicting each concept separately, but I couldn't find any experiments in your paper that elaborate on how the model handles interactions between such multi-concept scenarios. Could you provide further insights on this?
The text was updated successfully, but these errors were encountered:
Dear team, thank you for the great contribution to the community, I'm wondering if this algorithm could be applied to train a Lora(s) that combines several different concepts like a character holding a gun while driving a motorbike? I have several images depicting each concept separately, but I couldn't find any experiments in your paper that elaborate on how the model handles interactions between such multi-concept scenarios. Could you provide further insights on this?
The text was updated successfully, but these errors were encountered: