fix regression

InstantID.py

@@ -263,7 +263,7 @@ def INPUT_TYPES(s):
     FUNCTION = "apply_instantid"
     CATEGORY = "InstantID"
 
-    def apply_instantid(self, instantid, insightface, control_net, image, model, positive, negative, start_at, end_at, weight=.8, ip_weight=None, cn_strength=None, noise=0.35, image_kps=None, mask=None, combine_embeds='average', layer=0):
+    def apply_instantid(self, instantid, insightface, control_net, image, model, positive, negative, start_at, end_at, weight=.8, ip_weight=None, cn_strength=None, noise=0.35, image_kps=None, mask=None, combine_embeds='average'):
         self.dtype = torch.float16 if comfy.model_management.should_use_fp16() else torch.float32
         self.device = comfy.model_management.get_torch_device()
 
@@ -337,7 +337,6 @@ def apply_instantid(self, instantid, insightface, control_net, image, model, pos
             "mask": mask,
             "sigma_start": sigma_start,
             "sigma_end": sigma_end,
-            "cond_alt": layer,
         }
 
         if not is_sdxl:
@@ -417,7 +416,6 @@ def INPUT_TYPES(s):
                 "end_at": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001, }),
                 "noise": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.1, }),
                 "combine_embeds": (['average', 'norm average', 'concat'], {"default": 'average'}),
-                "layer": ("INT", {"default": 0, "min": 0, "max": 11, "step": 1, }),
             },
             "optional": {
                 "image_kps": ("IMAGE",),