Update animatediff/models/motion_module.py

animatediff/models/motion_module.py

@@ -223,7 +223,24 @@ class TemporalTransformerBlock(nn.Module):
         output = hidden_states  
         return output
 
+class PositionalEncoding(nn.Module):
+    def __init__(self, d_model, dropout=0.1, max_len=5000):
+        super(PositionalEncoding, self).__init__()
+        self.dropout = nn.Dropout(p=dropout)
+
+        pe = torch.zeros(max_len, d_model)
+        position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1)
+        div_term = torch.exp(torch.arange(0, d_model, 2).float() * (-math.log(10000.0) / d_model))
+        pe[:, 0::2] = torch.sin(position * div_term)
+        pe[:, 1::2] = torch.cos(position * div_term)
+        pe = pe.unsqueeze(0).transpose(0, 1)
+        self.register_buffer('pe', pe)
 
+    def forward(self, x):
+        x = x + self.pe[:x.size(0), :]
+        return self.dropout(x)
+
+"""
 class PositionalEncoding(nn.Module):
     def __init__(
         self, 
@@ -243,7 +260,7 @@ class PositionalEncoding(nn.Module):
     def forward(self, x):
         x = x + self.pe[:, :x.size(1)]
         return self.dropout(x)
-
+"""
 
 class VersatileAttention(CrossAttention):
     def __init__(