update

gradio_demo/app-multicontrolnet.py

@@ -205,6 +205,7 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
             42,  # seed
             "EulerDiscreteScheduler",  # scheduler
             False,  # enable_LCM
+            True,  # enable_Face_Region
         )
 
     def convert_from_cv2_to_image(img: np.ndarray) -> Image:

infer_full.py

@@ -98,7 +98,6 @@ if __name__ == "__main__":
     processed_image_midas = processed_image_midas.resize(pose_image.size)
     
     # enhance face region
-    width, height = face_kps.size
     control_mask = np.zeros([height, width, 3])
     x1, y1, x2, y2 = face_info["bbox"]
     x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2)

pipeline_stable_diffusion_xl_instantid_full.py

@@ -1098,7 +1098,7 @@ class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline):
                                                                                   return_dict=False)
 
                         # controlnet mask
-                        if control_mask_wight_image_list is not None:
+                        if control_index == 0 and control_mask_wight_image_list is not None:
                             down_block_res_samples = [
                                 down_block_res_sample * mask_weight
                                 for down_block_res_sample, mask_weight in zip(down_block_res_samples, control_mask_wight_image_list)