update

lama_cleaner/plugins/gfpgan_plugin.py

@@ -19,7 +19,7 @@ class GFPGANPlugin(BasePlugin):
 
         import facexlib
         if hasattr(facexlib.detection.retinaface, "device"):
-            facexlib.detection.retinaface.device = device
+            facexlib.detection.retinaface.device = "cpu"
 
         # Use GFPGAN for face enhancement
         self.face_enhancer = MyGFPGANer(
@@ -30,6 +30,9 @@ class GFPGANPlugin(BasePlugin):
             device=device,
             bg_upsampler=upscaler.model if upscaler is not None else None,
         )
+        self.face_enhancer.face_helper.face_det.mean_tensor.to("cpu")
+        self.face_enhancer.face_helper.face_det = self.face_enhancer.face_helper.face_det.to("cpu")
+
 
     def __call__(self, rgb_np_img, files, form):
         weight = 0.5

lama_cleaner/server.py

@@ -376,8 +376,8 @@ def get_server_config():
     return {
         "isControlNet": is_controlnet,
         "isDisableModelSwitchState": is_disable_model_switch,
-        "isEnableAutoSaving": is_enable_file_manager,
-        "enableFileManager": is_enable_auto_saving,
+        "isEnableAutoSaving": is_enable_auto_saving,
+        "enableFileManager": is_enable_file_manager,
         "plugins": list(plugins.keys()),
     }, 200
 
@@ -485,7 +485,7 @@ def main(args):
         is_controlnet = True
 
     output_dir = args.output_dir
-    if output_dir is not None:
+    if output_dir:
         is_enable_auto_saving = True
 
     device = torch.device(args.device)

lama_cleaner/web_config.py

@@ -197,7 +197,7 @@ def main(config_file: str):
                 enable_gif = gr.Checkbox(init_config.enable_gif, label=GIF_HELP)
 
             with gr.Tab("Diffusion Model"):
-                sd_local_model_path = gr.Checkbox(
+                sd_local_model_path = gr.Textbox(
                     init_config.sd_local_model_path, label=f"{SD_LOCAL_MODEL_HELP}"
                 )
                 sd_controlnet = gr.Checkbox(