Speed up model loading a bit.

Default pytorch Linear initializes the weights which is useless and slow.

comfy/ops.py

@@ -0,0 +1,17 @@
+import torch
+
+class Linear(torch.nn.Module):
+    def __init__(self, in_features: int, out_features: int, bias: bool = True,
+                 device=None, dtype=None) -> None:
+        factory_kwargs = {'device': device, 'dtype': dtype}
+        super().__init__()
+        self.in_features = in_features
+        self.out_features = out_features
+        self.weight = torch.nn.Parameter(torch.empty((out_features, in_features), **factory_kwargs))
+        if bias:
+            self.bias = torch.nn.Parameter(torch.empty(out_features, **factory_kwargs))
+        else:
+            self.register_parameter('bias', None)
+
+    def forward(self, input):
+        return torch.nn.functional.linear(input, self.weight, self.bias)