diff --git a/comfy/controlnet.py b/comfy/controlnet.py
index ba670b16d..504a085ce 100644
--- a/comfy/controlnet.py
+++ b/comfy/controlnet.py
@@ -385,10 +385,11 @@ class ControlLoraOps:
             return x
 
 class ControlLora(ControlNet):
-    def __init__(self, control_weights, global_average_pooling=False, model_options={}): #TODO? model_options
+    def __init__(self, control_weights, global_average_pooling=False, model_options={}):
         ControlBase.__init__(self)
         self.control_weights = control_weights
         self.global_average_pooling = global_average_pooling
+        self.model_options = model_options
         self.extra_conds += ["y"]
 
     def pre_run(self, model, percent_to_timestep_function):
@@ -426,7 +427,7 @@ class ControlLora(ControlNet):
                     comfy.utils.set_attr_param(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device()))
 
     def copy(self):
-        c = ControlLora(self.control_weights, global_average_pooling=self.global_average_pooling)
+        c = ControlLora(self.control_weights, global_average_pooling=self.global_average_pooling, model_options=self.model_options)
         self.copy_to(c)
         return c
 
@@ -902,13 +903,14 @@ class T2IAdapter(ControlBase):
         return self.control_merge(control_input, control_prev, x_noisy.dtype)
 
     def copy(self):
-        c = T2IAdapter(self.t2i_model, self.channels_in, self.compression_ratio, self.upscale_algorithm)
+        c = T2IAdapter(self.t2i_model, self.channels_in, self.compression_ratio, self.upscale_algorithm, device=self.device)
         self.copy_to(c)
         return c
 
-def load_t2i_adapter(t2i_data, model_options={}): #TODO: model_options
+def load_t2i_adapter(t2i_data, model_options={}):
     compression_ratio = 8
     upscale_algorithm = 'nearest-exact'
+    device = model_options.get("device", None)
 
     if 'adapter' in t2i_data:
         t2i_data = t2i_data['adapter']
@@ -955,4 +957,4 @@ def load_t2i_adapter(t2i_data, model_options={}): #TODO: model_options
     if len(unexpected) > 0:
         logging.debug("t2i unexpected {}".format(unexpected))
 
-    return T2IAdapter(model_ad, model_ad.input_channels, compression_ratio, upscale_algorithm)
+    return T2IAdapter(model_ad, model_ad.input_channels, compression_ratio, upscale_algorithm, device=device)