fix: .weight.dtype crashes on INT8 quantized Linear, use .float()

modules/layers.py

@@ -339,7 +339,7 @@ class TimestepEmbedder(nn.Module):
     def forward(self, t):
         t_freq = self.timestep_embedding(
             t, self.frequency_embedding_size, self.max_period
-        ).type(self.mlp[0].weight.dtype)  # type: ignore
+        ).float()  # INT8 quantized Linear has no .weight.dtype
         t_emb = self.mlp(t_freq)
         return t_emb