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1 parent b88e450 commit d988d7dCopy full SHA for d988d7d
src/diffusers/models/adapter.py
@@ -82,7 +82,7 @@ def forward(self, xs: torch.Tensor, adapter_weights: Optional[List[float]] = Non
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The `channel` dimension should be equal to `num_adapter` * number of channel per image.
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adapter_weights (`List[float]`, *optional*, defaults to None):
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- A list of floats representing the weight which will be multiplied to each adapter's output before summing
+ A list of floats representing the weights which will be multiplied by each adapter's output before summing
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them together.
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If `None`, equal weights will be used for all adapters.
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"""
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