diff --git a/modules/processing.py b/modules/processing.py
index d9579047b..3c6595e68 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -3,7 +3,7 @@ import json
 import time
 import numpy as np
 from PIL import Image, ImageOps
-from modules import shared, devices, errors, images, scripts_manager, memstats, script_callbacks, extra_networks, detailer, sd_models, sd_checkpoint, sd_vae, processing_helpers, timer, face_restoration
+from modules import shared, devices, errors, images, scripts_manager, memstats, script_callbacks, extra_networks, detailer, sd_models, sd_checkpoint, sd_vae, processing_helpers, timer
 from modules.sd_hijack_hypertile import context_hypertile_vae, context_hypertile_unet
 from modules.processing_class import StableDiffusionProcessing, StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, StableDiffusionProcessingControl, StableDiffusionProcessingVideo # pylint: disable=unused-import
 from modules.processing_info import create_infotext
@@ -55,8 +55,6 @@ class Processed:
 
         self.audio = audio
 
-        self.restore_faces = p.restore_faces or False
-        self.face_restoration_model = shared.opts.face_restoration_model if p.restore_faces else None
         self.detailer = p.detailer_enabled or False
         self.detailer_model = shared.opts.detailer_model if p.detailer_enabled else None
         self.seed_resize_from_w = p.seed_resize_from_w
@@ -297,15 +295,6 @@ def process_samples(p: StableDiffusionProcessing, samples):
 
         if not shared.state.interrupted and not shared.state.skipped:
 
-            if p.restore_faces:
-                p.ops.append('restore')
-                if not p.do_not_save_samples and shared.opts.save_images_before_detailer:
-                    info = create_infotext(p, p.prompts, p.seeds, p.subseeds, index=i)
-                    images.save_image(Image.fromarray(sample), path=p.outpath_samples, basename="", seed=p.seeds[i], prompt=p.prompts[i], extension=shared.opts.samples_format, info=info, p=p, suffix="-before-restore")
-                sample = face_restoration.restore_faces(sample, p)
-                if sample is not None:
-                    image = Image.fromarray(sample)
-
             if p.detailer_enabled:
                 p.ops.append('detailer')
                 if not p.do_not_save_samples and shared.opts.save_images_before_detailer:
diff --git a/modules/processing_class.py b/modules/processing_class.py
index 09c0bf5c1..a6f9fa5dd 100644
--- a/modules/processing_class.py
+++ b/modules/processing_class.py
@@ -57,7 +57,6 @@ class StableDiffusionProcessing:
                  # other
                  hidiffusion: bool = False,
                  do_not_reload_embeddings: bool = False,
-                 restore_faces: bool = False,
                  # detailer
                  detailer_enabled: bool = False,
                  detailer_prompt: str = '',
@@ -214,7 +213,6 @@ class StableDiffusionProcessing:
         self.detailer_steps = detailer_steps
         self.detailer_strength = detailer_strength
         self.detailer_resolution = detailer_resolution
-        self.restore_faces = restore_faces
         self.init_images = init_images
         self.init_control = init_control
         self.resize_mode = resize_mode
diff --git a/modules/shared.py b/modules/shared.py
index 91188a825..dcf345f78 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -80,7 +80,6 @@ xformers_available = False
 compiled_model_state = None
 sd_upscalers = []
 detailers = []
-face_restorers = []
 yolo = None
 tab_names = []
 extra_networks: list[ExtraNetworksPage] = []
@@ -524,8 +523,6 @@ options_templates.update(options_section(('system-paths', "System Paths"), {
     "embeddings_dir": OptionInfo(os.path.join(paths.models_path, 'embeddings'), "Folder with textual inversion embeddings", folder=True),
     "control_dir": OptionInfo(os.path.join(paths.models_path, 'control'), "Folder with Control models", folder=True),
     "yolo_dir": OptionInfo(os.path.join(paths.models_path, 'yolo'), "Folder with Yolo models", folder=True),
-    "codeformer_models_path": OptionInfo(os.path.join(paths.models_path, 'Codeformer'), "Folder with codeformer models", folder=True),
-    "gfpgan_models_path": OptionInfo(os.path.join(paths.models_path, 'GFPGAN'), "Folder with GFPGAN models", folder=True),
     "esrgan_models_path": OptionInfo(os.path.join(paths.models_path, 'ESRGAN'), "Folder with ESRGAN models", folder=True),
     "bsrgan_models_path": OptionInfo(os.path.join(paths.models_path, 'BSRGAN'), "Folder with BSRGAN models", folder=True),
     "realesrgan_models_path": OptionInfo(os.path.join(paths.models_path, 'RealESRGAN'), "Folder with RealESRGAN models", folder=True),
@@ -693,9 +690,6 @@ options_templates.update(options_section(('postprocessing', "Postprocessing"), {
     "postprocessing_sep_seedvt": OptionInfo("<h2>SeedVT</h2>", "", gr.HTML),
     "seedvt_cfg_scale": OptionInfo(3.5, "SeedVR CFG Scale", gr.Slider, {"minimum": 1, "maximum": 15, "step": 1}),
 
-    "postprocessing_sep_face_restore": OptionInfo("<h2>Face Restore</h2>", "", gr.HTML),
-    "face_restoration_model": OptionInfo("None", "Face restoration", gr.Radio, lambda: {"choices": ['None'] + [x.name() for x in face_restorers]}),
-    "code_former_weight": OptionInfo(0.2, "CodeFormer weight parameter", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
 
     "postprocessing_sep_upscalers": OptionInfo("<h2>Upscaling</h2>", "", gr.HTML),
     "upscaler_unload": OptionInfo(False, "Unload upscaler after processing"),
diff --git a/webui.py b/webui.py
index de6ecf832..1347b3387 100644
--- a/webui.py
+++ b/webui.py
@@ -100,11 +100,6 @@ def initialize():
     shared.prompt_styles.reload()
     timer.startup.record("styles")
 
-    import modules.postprocess.codeformer_model as codeformer
-    codeformer.setup_model(shared.opts.codeformer_models_path)
-    sys.modules["modules.codeformer_model"] = codeformer
-    import modules.postprocess.gfpgan_model as gfpgan
-    gfpgan.setup_model(shared.opts.gfpgan_models_path)
     import modules.postprocess.yolo as yolo
     yolo.initialize()
     timer.startup.record("detailer")