diff --git a/modules/postprocess/yolo.py b/modules/postprocess/yolo.py
index bb0fd4caf..61f5f5661 100644
--- a/modules/postprocess/yolo.py
+++ b/modules/postprocess/yolo.py
@@ -21,10 +21,6 @@ predefined = [ # <https://huggingface.co/vladmandic/yolo-detailers/tree/main>
     'https://huggingface.co/vladmandic/yolo-detailers/resolve/main/anzhc-eyes-seg.pt',
     'https://huggingface.co/vladmandic/yolo-detailers/resolve/main/anzhc-face-1024-seg-8n.pt',
     'https://huggingface.co/vladmandic/yolo-detailers/resolve/main/anzhc-head-seg-8n.pt',
-    'https://huggingface.co/netrunner-exe/Face-Upscalers-onnx/resolve/main/codeformer.fp16.onnx',
-    'https://huggingface.co/netrunner-exe/Face-Upscalers-onnx/resolve/main/restoreformer.fp16.onnx',
-    'https://huggingface.co/netrunner-exe/Face-Upscalers-onnx/resolve/main/GFPGANv1.4.fp16.onnx',
-    'https://huggingface.co/netrunner-exe/Face-Upscalers-onnx/resolve/main/GPEN-BFR-512.fp16.onnx',
 ]
 load_lock = threading.Lock()
 
@@ -314,12 +310,6 @@ class YoloRestorer(Detailer):
                 shared.log.warning(f'Detailer: model="{name}" not loaded')
                 continue
 
-            if name.endswith('.fp16'): # run gfpgan or codeformer directly and skip detailer processing
-                from modules.postprocess import restorer
-                np_image = restorer.restore(np_image, name, model, p.detailer_strength)
-                image = Image.fromarray(np_image)
-                continue
-
             if image is None:
                 image = Image.fromarray(np_image)
             items = self.predict(model, image)