Clean up some controlnet code.

Remove self.device which was useless.

comfy/controlnet.py

@@ -60,7 +60,7 @@ class StrengthType(Enum):
     LINEAR_UP = 2
 
 class ControlBase:
-    def __init__(self, device=None):
+    def __init__(self):
         self.cond_hint_original = None
         self.cond_hint = None
         self.strength = 1.0
@@ -72,10 +72,6 @@ def __init__(self, device=None):
         self.compression_ratio = 8
         self.upscale_algorithm = 'nearest-exact'
         self.extra_args = {}
-
-        if device is None:
-            device = comfy.model_management.get_torch_device()
-        self.device = device
         self.previous_controlnet = None
         self.extra_conds = []
         self.strength_type = StrengthType.CONSTANT
@@ -185,8 +181,8 @@ def set_extra_arg(self, argument, value=None):
 
 
 class ControlNet(ControlBase):
-    def __init__(self, control_model=None, global_average_pooling=False, compression_ratio=8, latent_format=None, device=None, load_device=None, manual_cast_dtype=None, extra_conds=["y"], strength_type=StrengthType.CONSTANT, concat_mask=False):
-        super().__init__(device)
+    def __init__(self, control_model=None, global_average_pooling=False, compression_ratio=8, latent_format=None, load_device=None, manual_cast_dtype=None, extra_conds=["y"], strength_type=StrengthType.CONSTANT, concat_mask=False):
+        super().__init__()
         self.control_model = control_model
         self.load_device = load_device
         if control_model is not None:
@@ -242,7 +238,7 @@ def get_control(self, x_noisy, t, cond, batched_number):
                     to_concat.append(comfy.utils.repeat_to_batch_size(c, self.cond_hint.shape[0]))
                 self.cond_hint = torch.cat([self.cond_hint] + to_concat, dim=1)
 
-            self.cond_hint = self.cond_hint.to(device=self.device, dtype=dtype)
+            self.cond_hint = self.cond_hint.to(device=self.load_device, dtype=dtype)
         if x_noisy.shape[0] != self.cond_hint.shape[0]:
             self.cond_hint = broadcast_image_to(self.cond_hint, x_noisy.shape[0], batched_number)
 
@@ -341,8 +337,8 @@ def forward(self, input):
 
 
 class ControlLora(ControlNet):
-    def __init__(self, control_weights, global_average_pooling=False, device=None, model_options={}): #TODO? model_options
-        ControlBase.__init__(self, device)
+    def __init__(self, control_weights, global_average_pooling=False, model_options={}): #TODO? model_options
+        ControlBase.__init__(self)
         self.control_weights = control_weights
         self.global_average_pooling = global_average_pooling
         self.extra_conds += ["y"]
@@ -662,12 +658,15 @@ def load_controlnet(ckpt_path, model=None, model_options={}):
 
 class T2IAdapter(ControlBase):
     def __init__(self, t2i_model, channels_in, compression_ratio, upscale_algorithm, device=None):
-        super().__init__(device)
+        super().__init__()
         self.t2i_model = t2i_model
         self.channels_in = channels_in
         self.control_input = None
         self.compression_ratio = compression_ratio
         self.upscale_algorithm = upscale_algorithm
+        if device is None:
+            device = comfy.model_management.get_torch_device()
+        self.device = device
 
     def scale_image_to(self, width, height):
         unshuffle_amount = self.t2i_model.unshuffle_amount