speed up install and config

check.sh

@@ -1,4 +1,4 @@
 #!/bin/bash
 autoflake --in-place --remove-unused-variables -r --remove-all-unused-imports .
-mypy --install-types
+mypy --non-interactive --install-types
 pre-commit run --all-files

install.py

@@ -36,6 +36,8 @@ def is_installed(package: str) -> bool:
             required_version = parse(package.split(">=")[1])
             return installed_version >= required_version
         else:
+            if package_name == "opencv-python":
+                return launch.is_installed(package_name) or launch.is_installed("cv2")
             return launch.is_installed(package_name)
 
     print("Checking faceswaplab requirements")
@@ -59,4 +61,7 @@ def is_installed(package: str) -> bool:
                 raise e
 
 
-check_install()
+import timeit
+
+check_time = timeit.timeit(check_install, number=1)
+print(check_time)

models.json

@@ -0,0 +1 @@
+[{"analyzerName":"intellisense-members-lstm-pylance","languageName":"python","identity":{"modelId":"E61945A9A512ED5E1A3EE3F1A2365B88F8FE","outputId":"E4E9EADA96734F01970E616FAB2FAC19","modifiedTimeUtc":"2020-08-11T14:06:50.811Z"},"filePath":"E61945A9A512ED5E1A3EE3F1A2365B88F8FE_E4E9EADA96734F01970E616FAB2FAC19","lastAccessTimeUtc":"2023-08-14T21:58:14.988Z"}]

requirements-gpu.txt

@@ -3,7 +3,6 @@ dill
 ifnude
 insightface==0.7.3
 onnx>=1.14.0
-opencv-python
 pandas
 pydantic
 safetensors

scripts/configure.py

@@ -1,51 +1,15 @@
 import os
 from tqdm import tqdm
-import traceback
 import urllib.request
 from scripts.faceswaplab_utils.faceswaplab_logging import logger
 from scripts.faceswaplab_globals import *
 from packaging import version
 import pkg_resources
-import hashlib
+from scripts.faceswaplab_utils.models_utils import check_model
 
 ALREADY_DONE = False
 
 
-def check_install() -> None:
-    # Very ugly hack :( due to sdnext optimization not calling install.py every time if git log has not changed
-    import importlib.util
-    import sys
-    import os
-
-    current_dir = os.path.dirname(os.path.realpath(__file__))
-    check_install_path = os.path.join(current_dir, "..", "install.py")
-    spec = importlib.util.spec_from_file_location("check_install", check_install_path)
-    check_install = importlib.util.module_from_spec(spec)
-    sys.modules["check_install"] = check_install
-    spec.loader.exec_module(check_install)
-    check_install.check_install()  # type: ignore
-    #### End of ugly hack :( !
-
-
-def is_sha1_matching(file_path: str, expected_sha1: str) -> bool:
-    sha1_hash = hashlib.sha1(usedforsecurity=False)
-    try:
-        with open(file_path, "rb") as file:
-            for byte_block in iter(lambda: file.read(4096), b""):
-                sha1_hash.update(byte_block)
-            if sha1_hash.hexdigest() == expected_sha1:
-                return True
-            else:
-                return False
-    except Exception as e:
-        logger.error(
-            "Failed to check model hash, check the model is valid or has been downloaded adequately : %e",
-            e,
-        )
-        traceback.print_exc()
-        return False
-
-
 def check_configuration() -> None:
     global ALREADY_DONE
 
@@ -83,13 +47,7 @@ def download(url: str, path: str) -> None:
 
     if not os.path.exists(model_path):
         download(model_url, model_path)
-
-    if not is_sha1_matching(model_path, EXPECTED_INSWAPPER_SHA1):
-        logger.error(
-            "Suspicious sha1 for model %s, check the model is valid or has been downloaded adequately. Should be %s",
-            model_path,
-            EXPECTED_INSWAPPER_SHA1,
-        )
+        check_model()
 
     gradio_version = pkg_resources.get_distribution("gradio").version
 

scripts/faceswaplab.py

@@ -12,7 +12,7 @@
 from scripts.faceswaplab_swapping import swapper
 from scripts.faceswaplab_ui import faceswaplab_tab, faceswaplab_unit_ui
 from scripts.faceswaplab_utils import faceswaplab_logging, imgutils, models_utils
-from scripts.faceswaplab_utils.models_utils import get_current_model
+from scripts.faceswaplab_utils.models_utils import get_current_swap_model
 from scripts.faceswaplab_utils.typing import *
 from scripts.faceswaplab_utils.ui_utils import dataclasses_from_flat_list
 from scripts.faceswaplab_utils.faceswaplab_logging import logger, save_img_debug
@@ -99,7 +99,7 @@ def title(self) -> str:
         return f"faceswaplab"
 
     def show(self, is_img2img: bool) -> bool:
-        return scripts.AlwaysVisible
+        return scripts.AlwaysVisible  # type: ignore
 
     def ui(self, is_img2img: bool) -> List[gr.components.Component]:
         with gr.Accordion(f"FaceSwapLab {VERSION_FLAG}", open=False):
@@ -147,7 +147,7 @@ def process(
                         (img, None) for img in p.init_images
                     ]
                     new_inits = swapper.process_images_units(
-                        get_current_model(),
+                        get_current_swap_model(),
                         self.swap_in_source_units,
                         images=init_images,
                         force_blend=True,
@@ -181,7 +181,7 @@ def postprocess(
                     for i, (img, info) in enumerate(zip(orig_images, orig_infotexts)):
                         batch_index = i % p.batch_size
                         swapped_images = swapper.process_images_units(
-                            get_current_model(),
+                            get_current_swap_model(),
                             self.swap_in_generated_units,
                             images=[(img, info)],
                         )
@@ -213,8 +213,8 @@ def postprocess(
                                         swp_img,
                                         p.outpath_samples,
                                         "",
-                                        p.all_seeds[batch_index],
-                                        p.all_prompts[batch_index],
+                                        p.all_seeds[batch_index],  # type: ignore
+                                        p.all_prompts[batch_index],  # type: ignore
                                         opts.samples_format,
                                         info=new_info,
                                         p=p,
@@ -231,16 +231,16 @@ def postprocess(
                     text = processed.infotexts[0]
                     infotexts.insert(0, text)
                     if opts.enable_pnginfo:
-                        grid.info["parameters"] = text
+                        grid.info["parameters"] = text  # type: ignore
                     images.insert(0, grid)
 
                     if opts.grid_save:
                         save_image(
                             grid,
                             p.outpath_grids,
                             "swapped-grid",
-                            p.all_seeds[0],
-                            p.all_prompts[0],
+                            p.all_seeds[0],  # type: ignore
+                            p.all_prompts[0],  # type: ignore
                             opts.grid_format,
                             info=text,
                             short_filename=not opts.grid_extended_filename,

scripts/faceswaplab_globals.py

@@ -1,18 +1,27 @@
 import os
 from modules import scripts
+from modules.shared import opts
 
+# Defining the absolute path for the 'faceswaplab' directory inside 'models' directory
 MODELS_DIR = os.path.abspath(os.path.join("models", "faceswaplab"))
+# Defining the absolute path for the 'analysers' directory inside 'MODELS_DIR'
 ANALYZER_DIR = os.path.abspath(os.path.join(MODELS_DIR, "analysers"))
+# Defining the absolute path for the 'parser' directory inside 'MODELS_DIR'
 FACE_PARSER_DIR = os.path.abspath(os.path.join(MODELS_DIR, "parser"))
+# Defining the absolute path for the 'faces' directory inside 'MODELS_DIR'
 FACES_DIR = os.path.abspath(os.path.join(MODELS_DIR, "faces"))
 
+# Constructing the path for 'references' directory inside the 'extensions' and 'sd-webui-faceswaplab' directories, based on the base directory of scripts
 REFERENCE_PATH = os.path.join(
     scripts.basedir(), "extensions", "sd-webui-faceswaplab", "references"
 )
 
-VERSION_FLAG: str = "v1.2.1"
+# Defining the version flag for the application
+VERSION_FLAG: str = "v1.2.2"
+# Defining the path for 'sd-webui-faceswaplab' inside the 'extensions' directory
 EXTENSION_PATH = os.path.join("extensions", "sd-webui-faceswaplab")
 
-# The NSFW score threshold. If any part of the image has a score greater than this threshold, the image will be considered NSFW.
-NSFW_SCORE_THRESHOLD: float = 0.7
+# Defining the NSFW score threshold. Any image part with a score above this value will be treated as NSFW (Not Safe For Work)
+NSFW_SCORE_THRESHOLD: float = opts.data.get("faceswaplab_nsfw_threshold", 0.7)  # type: ignore
+# Defining the expected SHA1 hash value for 'INSWAPPER'
 EXPECTED_INSWAPPER_SHA1 = "17a64851eaefd55ea597ee41e5c18409754244c5"

scripts/faceswaplab_settings/faceswaplab_settings.py

@@ -1,11 +1,11 @@
-from scripts.faceswaplab_utils.models_utils import get_models
+from scripts.faceswaplab_utils.models_utils import get_swap_models
 from modules import script_callbacks, shared
 import gradio as gr
 
 
 def on_ui_settings() -> None:
     section = ("faceswaplab", "FaceSwapLab")
-    models = get_models()
+    models = get_swap_models()
     shared.opts.add_option(
         "faceswaplab_model",
         shared.OptionInfo(

scripts/faceswaplab_swapping/swapper.py

@@ -33,7 +33,7 @@
 from scripts.faceswaplab_postprocessing.postprocessing_options import (
     PostProcessingOptions,
 )
-from scripts.faceswaplab_utils.models_utils import get_current_model
+from scripts.faceswaplab_utils.models_utils import get_current_swap_model
 from scripts.faceswaplab_utils.typing import CV2ImgU8, PILImage, Face
 from scripts.faceswaplab_inpainting.i2i_pp import img2img_diffusion
 from modules import shared
@@ -51,7 +51,7 @@ def use_gpu() -> bool:
 def force_install_gpu_providers() -> None:
     # Ugly Ugly hack due to SDNEXT :
     try:
-        from scripts.configure import check_install
+        from scripts.faceswaplab_utils.install_utils import check_install
 
         logger.warning("Try to reinstall gpu dependencies")
         check_install()
@@ -180,7 +180,7 @@ def batch_process(
 
                 current_images = []
                 swapped_images = process_images_units(
-                    get_current_model(), images=[(src_image, None)], units=units
+                    get_current_swap_model(), images=[(src_image, None)], units=units
                 )
                 if len(swapped_images) > 0:
                     current_images += [img for img, _ in swapped_images]

scripts/faceswaplab_ui/faceswaplab_tab.py

@@ -17,7 +17,7 @@
 from scripts.faceswaplab_ui.faceswaplab_unit_ui import faceswap_unit_ui
 from scripts.faceswaplab_utils import face_checkpoints_utils, imgutils
 from scripts.faceswaplab_utils.faceswaplab_logging import logger
-from scripts.faceswaplab_utils.models_utils import get_models
+from scripts.faceswaplab_utils.models_utils import get_swap_models
 from scripts.faceswaplab_utils.ui_utils import dataclasses_from_flat_list
 
 
@@ -232,7 +232,7 @@ def batch_process(
 
 
 def tools_ui() -> None:
-    models = get_models()
+    models = get_swap_models()
     with gr.Tab("Tools"):
         with gr.Tab("Build"):
             gr.Markdown(

scripts/faceswaplab_utils/face_checkpoints_utils.py

@@ -11,7 +11,7 @@
 from scripts.faceswaplab_utils.faceswaplab_logging import logger
 from scripts.faceswaplab_utils.typing import *
 from scripts.faceswaplab_utils import imgutils
-from scripts.faceswaplab_utils.models_utils import get_models
+from scripts.faceswaplab_utils.models_utils import get_swap_models
 import traceback
 
 import dill as pickle  # will be removed in future versions
@@ -90,7 +90,7 @@ def build_face_checkpoint_and_save(
                     target_faces=[target_face],
                     source_face=blended_face,
                     target_img=reference_preview_img,
-                    model=get_models()[0],
+                    model=get_swap_models()[0],
                     swapping_options=InswappperOptions(face_restorer_name="Codeformer"),
                 )
                 preview_image = result.image

scripts/faceswaplab_utils/install_utils.py

@@ -0,0 +1,18 @@
+from types import ModuleType
+
+
+def check_install() -> None:
+    # Very ugly hack :( due to sdnext optimization not calling install.py every time if git log has not changed
+    import importlib.util
+    import sys
+    import os
+
+    current_dir = os.path.dirname(os.path.realpath(__file__))
+    check_install_path = os.path.join(current_dir, "..", "..", "install.py")
+    spec = importlib.util.spec_from_file_location("check_install", check_install_path)
+    if spec != None:
+        check_install: ModuleType = importlib.util.module_from_spec(spec)
+        sys.modules["check_install"] = check_install
+        spec.loader.exec_module(check_install)  # type: ignore
+        check_install.check_install()  # type: ignore
+        #### End of ugly hack :( !

scripts/faceswaplab_utils/models_utils.py

@@ -3,12 +3,47 @@
 from typing import List
 import modules.scripts as scripts
 from modules import scripts
-from scripts.faceswaplab_globals import EXTENSION_PATH
+from scripts.faceswaplab_globals import EXPECTED_INSWAPPER_SHA1, EXTENSION_PATH
 from modules.shared import opts
 from scripts.faceswaplab_utils.faceswaplab_logging import logger
+import traceback
+import hashlib
 
 
-def get_models() -> List[str]:
+def is_sha1_matching(file_path: str, expected_sha1: str) -> bool:
+    sha1_hash = hashlib.sha1(usedforsecurity=False)
+    try:
+        with open(file_path, "rb") as file:
+            for byte_block in iter(lambda: file.read(4096), b""):
+                sha1_hash.update(byte_block)
+            if sha1_hash.hexdigest() == expected_sha1:
+                return True
+            else:
+                return False
+    except Exception as e:
+        logger.error(
+            "Failed to check model hash, check the model is valid or has been downloaded adequately : %e",
+            e,
+        )
+        traceback.print_exc()
+        return False
+
+
+def check_model() -> bool:
+    model_path = get_current_swap_model()
+    if not is_sha1_matching(
+        file_path=model_path, expected_sha1=EXPECTED_INSWAPPER_SHA1
+    ):
+        logger.error(
+            "Suspicious sha1 for model %s, check the model is valid or has been downloaded adequately. Should be %s",
+            model_path,
+            EXPECTED_INSWAPPER_SHA1,
+        )
+        return False
+    return True
+
+
+def get_swap_models() -> List[str]:
     """
     Retrieve a list of swap model files.
 
@@ -31,13 +66,13 @@ def get_models() -> List[str]:
     return models
 
 
-def get_current_model() -> str:
-    model = opts.data.get("faceswaplab_model", None)
+def get_current_swap_model() -> str:
+    model = opts.data.get("faceswaplab_model", None)  # type: ignore
     if model is None:
-        models = get_models()
+        models = get_swap_models()
         model = models[0] if len(models) else None
     logger.info("Try to use model : %s", model)
-    if not os.path.isfile(model):
+    if not os.path.isfile(model):  # type: ignore
         logger.error("The model %s cannot be found or loaded", model)
         raise FileNotFoundError(
             "No faceswap model found. Please add it to the faceswaplab directory."