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Fix for multi-GPU WAN inference #10997

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merged 1 commit into from
Mar 11, 2025
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Fix for multi-GPU WAN inference #10997

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8 changes: 8 additions & 0 deletions src/diffusers/models/transformers/transformer_wan.py
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Original file line number Diff line number Diff line change
Expand Up @@ -441,6 +441,14 @@ def forward(

# 5. Output norm, projection & unpatchify
shift, scale = (self.scale_shift_table + temb.unsqueeze(1)).chunk(2, dim=1)

# Move the shift and scale tensors to the same device as hidden_states.
# When using multi-GPU inference via accelerate these will be on the
# first device rather than the last device, which hidden_states ends up
# on.
shift = shift.to(hidden_states.device)
scale = scale.to(hidden_states.device)

hidden_states = (self.norm_out(hidden_states.float()) * (1 + scale) + shift).type_as(hidden_states)
hidden_states = self.proj_out(hidden_states)

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