refactor(api): remove face restoration endpoints and parameters

- Remove /sdapi/v1/face-restorers route from api.py
- Remove get_restorers() function from endpoints.py
- Remove gfpgan_visibility, codeformer_visibility, codeformer_weight
  fields from ReqProcess model
- Remove GFPGAN and CodeFormer entries from run_extras() signature
  and create_args_for_run dict in postprocessing.py

modules/api/api.py

@@ -81,7 +81,6 @@ class Api:
         self.add_api_route("/sdapi/v1/upscalers", endpoints.get_upscalers, methods=["GET"], response_model=List[models.ItemUpscaler])
         self.add_api_route("/sdapi/v1/sd-models", endpoints.get_sd_models, methods=["GET"], response_model=List[models.ItemModel])
         self.add_api_route("/sdapi/v1/controlnets", endpoints.get_controlnets, methods=["GET"], response_model=List[str])
-        self.add_api_route("/sdapi/v1/face-restorers", endpoints.get_restorers, methods=["GET"], response_model=List[models.ItemDetailer])
         self.add_api_route("/sdapi/v1/detailers", endpoints.get_detailers, methods=["GET"], response_model=List[models.ItemDetailer])
         self.add_api_route("/sdapi/v1/prompt-styles", endpoints.get_prompt_styles, methods=["GET"], response_model=List[models.ItemStyle])
         self.add_api_route("/sdapi/v1/embeddings", endpoints.get_embeddings, methods=["GET"], response_model=models.ResEmbeddings)

modules/api/endpoints.py

@@ -48,9 +48,6 @@ def get_controlnets(model_type: Optional[str] = None):
     from modules.control.units.controlnet import api_list_models
     return api_list_models(model_type)
 
-def get_restorers():
-    return [{"name":x.name(), "path": getattr(x, "cmd_dir", None)} for x in shared.face_restorers]
-
 def get_detailers():
     shared.yolo.enumerate()
     return [{"name": k, "path": v} for k, v in shared.yolo.list.items()]

modules/api/models.py

@@ -268,9 +268,6 @@ class FileData(BaseModel):
 class ReqProcess(BaseModel):
     resize_mode: float = Field(default=0, title="Resize Mode", description="Sets the resize mode: 0 to upscale by upscaling_resize amount, 1 to upscale up to upscaling_resize_h x upscaling_resize_w.")
     show_extras_results: bool = Field(default=True, title="Show results", description="Should the backend return the generated image?")
-    gfpgan_visibility: float = Field(default=0, title="GFPGAN Visibility", ge=0, le=1, allow_inf_nan=False, description="Sets the visibility of GFPGAN, values should be between 0 and 1.")
-    codeformer_visibility: float = Field(default=0, title="CodeFormer Visibility", ge=0, le=1, allow_inf_nan=False, description="Sets the visibility of CodeFormer, values should be between 0 and 1.")
-    codeformer_weight: float = Field(default=0, title="CodeFormer Weight", ge=0, le=1, allow_inf_nan=False, description="Sets the weight of CodeFormer, values should be between 0 and 1.")
     upscaling_resize: float = Field(default=2, title="Upscaling Factor", ge=1, le=8, description="By how much to upscale the image, only used when resize_mode=0.")
     upscaling_resize_w: int = Field(default=512, title="Target Width", ge=1, description="Target width for the upscaler to hit. Only used when resize_mode=1.")
     upscaling_resize_h: int = Field(default=512, title="Target Height", ge=1, description="Target height for the upscaler to hit. Only used when resize_mode=1.")

modules/postprocessing.py

@@ -100,7 +100,7 @@ def run_postprocessing(extras_mode, image, image_folder: List[tempfile.NamedTemp
     return outputs, info, params
 
 
-def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, save_output: bool = True):
+def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, save_output: bool = True):
     """old handler for API"""
 
     args = scripts_manager.scripts_postproc.create_args_for_run({
@@ -114,13 +114,6 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
             "upscaler_2_name": extras_upscaler_2,
             "upscaler_2_visibility": extras_upscaler_2_visibility,
         },
-        "GFPGAN": {
-            "gfpgan_visibility": gfpgan_visibility,
-        },
-        "CodeFormer": {
-            "codeformer_visibility": codeformer_visibility,
-            "codeformer_weight": codeformer_weight,
-        },
     })
 
     return run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir, show_extras_results, *args, save_output=save_output)