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Code refactor.

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comfyanonymous 2025-01-16 07:23:54 -05:00
parent 88ceb28e20
commit 31831e6ef1
1 changed files with 1 additions and 2 deletions
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comfy/ldm/flux/layers.py
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@ -230,8 +230,7 @@ class SingleStreamBlock(nn.Module):
def forward(self, x: Tensor, vec: Tensor, pe: Tensor, attn_mask=None) -> Tensor: def forward(self, x: Tensor, vec: Tensor, pe: Tensor, attn_mask=None) -> Tensor:
mod, _ = self.modulation(vec) mod, _ = self.modulation(vec)
x_mod = (1 + mod.scale) * self.pre_norm(x) + mod.shift qkv, mlp = torch.split(self.linear1((1 + mod.scale) * self.pre_norm(x) + mod.shift), [3 * self.hidden_size, self.mlp_hidden_dim], dim=-1)
qkv, mlp = torch.split(self.linear1(x_mod), [3 * self.hidden_size, self.mlp_hidden_dim], dim=-1)
q, k, v = qkv.view(qkv.shape[0], qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) q, k, v = qkv.view(qkv.shape[0], qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
q, k = self.norm(q, k, v) q, k = self.norm(q, k, v)