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仿照了ip-adapter的解耦交叉注意力机制
ip-adapter中是在每个交叉注意力层后又添加了处理图像特征的交叉注意力层
添加的这一层是需要训练的
请问instantID中没有提到这一层的训练,应该如何理解呢?
The decoupled cross-attention mechanism was modeled after the IP-Adapter.
In the IP-Adapter, after each cross-attention layer, an additional cross-attention layer that processes image features is added.
The added layer is trainable.
How should we understand that InstantID does not mention the training of this layer?
The text was updated successfully, but these errors were encountered:
仿照了ip-adapter的解耦交叉注意力机制
ip-adapter中是在每个交叉注意力层后又添加了处理图像特征的交叉注意力层
添加的这一层是需要训练的
请问instantID中没有提到这一层的训练,应该如何理解呢?
The decoupled cross-attention mechanism was modeled after the IP-Adapter.
In the IP-Adapter, after each cross-attention layer, an additional cross-attention layer that processes image features is added.
The added layer is trainable.
How should we understand that InstantID does not mention the training of this layer?
The text was updated successfully, but these errors were encountered: