V1.2.2 : Install speed fix (wip)

README.md

@@ -14,7 +14,7 @@ While FaceSwapLab is still under development, it has reached a good level of sta
 
 In short:
 
-+ **Ethical Guideline:** This extension should not be forked to create a public, easy way to bypass NSFW filtering. If you modify it for this purpose, keep it private, or you'll be banned.
++ **Ethical Guideline:**  NSFW is now configurable due to performance issue. Please don't use this to do harm.
 + **License:** This software is distributed under the terms of the GNU Affero General Public License (AGPL), version 3 or later.
 + **Model License:** This software uses InsightFace's pre-trained models, which are available for non-commercial research purposes only.
 
@@ -24,6 +24,35 @@ More on this here : https://glucauze.github.io/sd-webui-faceswaplab/
 
 + Older versions of gradio don't work well with the extension. See this bug : https://github.com/glucauze/sd-webui-faceswaplab/issues/5
 
+## Quick Start
+
+### Simple
+
+1. Put a face in the reference.
+2. Select a face number.
+3. Select "Enable."
+4. Select "CodeFormer" in **Global Post-Processing** tab.
+
+Once you're happy with some results but want to improve, the next steps are to:
+
++ Use advanced settings in face units (which are not as complex as they might seem, it's basically fine tuning post-processing for each faces).
++ Use pre/post inpainting to tweak the image a bit for more natural results.
+
+### Better 
+
+1. Put a face in the reference.
+2. Select a face number.
+3. Select "Enable."
+
+4. In **Post-Processing** accordeon:
+    + Select "CodeFormer" 
+    + Select "LDSR" or a faster model "003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN" in upscaler. See [here for a list of upscalers](https://github.com/glucauze/sd-webui-faceswaplab/discussions/29). 
+    + Use sharpen, color_correction and improved mask
+
+5. Disable "CodeFormer" in **Global Post-Processing** tab (otherwise it will be applied twice)
+
+Don't hesitate to share config in the [discussion section](https://github.com/glucauze/sd-webui-faceswaplab/discussions).
+
 ### Features
 
 + **Face Unit Concept**: Similar to controlNet, the program introduces the concept of a face unit. You can configure up to 10 units (3 units are the default setting) in the program settings (sd).
@@ -32,6 +61,8 @@ More on this here : https://glucauze.github.io/sd-webui-faceswaplab/
 
 + **Batch Processing**
 
++ **GPU**
+
 + **Inpainting Fixes** : supports “only masked” and mask inpainting.
 
 + **Performance Improvements**: The overall performance of the software has been enhanced.
@@ -62,7 +93,7 @@ More on this here : https://glucauze.github.io/sd-webui-faceswaplab/
 
 + **Upscaled Inswapper**: The program now includes an upscaled inswapper option, which improves results by incorporating upsampling, sharpness adjustment, and color correction before face is merged to the original image.
 
-+ **API with typing support** :
++ **API with typing support**
 
 
 ## Installation

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

docs/documentation.markdown

@@ -17,6 +17,21 @@ Once you're happy with some results but want to improve, the next steps are to:
 + Use advanced settings in face units (which are not as complex as they might seem, it's basically fine tuning post-processing for each faces).
 + Use pre/post inpainting to tweak the image a bit for more natural results.
 
+### Getting better results
+
+1. Put a face in the reference.
+2. Select a face number.
+3. Select "Enable."
+
+4. In **Post-Processing** accordeon:
+    + Select "CodeFormer" 
+    + Select "LDSR" or a faster model "003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN" in upscaler. See [here for a list of upscalers](https://github.com/glucauze/sd-webui-faceswaplab/discussions/29). 
+    + Use sharpen, color_correction and improved mask
+
+5. Disable "CodeFormer" in **Global Post-Processing** tab (otherwise it will be applied twice)
+
+Don't hesitate to share config in the [discussion section](https://github.com/glucauze/sd-webui-faceswaplab/discussions).
+
 ## Main Interface
 
 Here is the interface for FaceSwap Lab. It is available in the form of an accordion in both img2img and txt2img.

docs/index.markdown

@@ -20,16 +20,14 @@ While FaceSwapLab is still under development, it has reached a good level of sta
 
 In short:
 
-+ **Ethical Guideline:** This extension should not be forked to create a public, easy way to circumvent NSFW filtering.
++ **Ethical Guideline:** This extension is **not intended to facilitate the creation of not safe for work (NSFW) or non-consensual deepfake content**. Its purpose is to bring consistency to image creation, making it easier to repair existing images, or bring characters back to life.
 + **License:** This software is distributed under the terms of the GNU Affero General Public License (AGPL), version 3 or later.
 + **Model License:** This software uses InsightFace's pre-trained models, which are available for non-commercial research purposes only.
 
 ### Ethical Guideline
 
 This extension is **not intended to facilitate the creation of not safe for work (NSFW) or non-consensual deepfake content**. Its purpose is to bring consistency to image creation, making it easier to repair existing images, or bring characters back to life.
 
-While the code for this extension is licensed under the AGPL in compliance with models and other source materials, it's important to stress that **we strongly discourage any attempts to fork this project to create an uncensored version**. Any modifications to the code to enable the production of such content would be contrary to the ethical guidelines we advocate for.
-
 We will comply with European regulations regarding this type of software. As required by law, the code may include both visible and invisible watermarks. If your local laws prohibit the use of this extension, you should not use it.
 
 From an ethical perspective, the main goal of this extension is to generate consistent images by swapping faces. It's important to note that we've done our best to integrate censorship features. However, when users can access the source code, they might bypass these censorship measures. That's why we urge users to use this extension responsibly and avoid any malicious use. We emphasize the importance of respecting people's privacy and consent when swapping faces in images. We discourage any activities that could harm others, invade their privacy, or negatively affect their well-being.

install.py

@@ -7,15 +7,15 @@
 
 
 def check_install() -> None:
-    use_gpu = getattr(
-        shared.cmd_opts, "faceswaplab_gpu", False
-    ) or shared.opts.data.get("faceswaplab_use_gpu", False)
+    use_gpu = not getattr(shared.cmd_opts, "use-cpu", False)
 
     if use_gpu and sys.platform != "darwin":
+        print("Faceswaplab : Use GPU requirements")
         req_file = os.path.join(
             os.path.dirname(os.path.realpath(__file__)), "requirements-gpu.txt"
         )
     else:
+        print("Faceswaplab : Use CPU requirements")
         req_file = os.path.join(
             os.path.dirname(os.path.realpath(__file__)), "requirements.txt"
         )
@@ -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")
@@ -54,9 +56,12 @@ def is_installed(package: str) -> bool:
             except Exception as e:
                 print(e)
                 print(
-                    f"Warning: Failed to install {package}, faceswaplab will not work."
+                    f"Warning: Failed to install {package}, faceswaplab may not work. Try to restart server or install dependencies manually."
                 )
                 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

@@ -3,6 +3,7 @@ dill
 ifnude
 insightface==0.7.3
 onnx>=1.14.0
+protobuf>=3.20.2
 opencv-python
 pandas
 pydantic

requirements.txt

@@ -1,3 +1,4 @@
+protobuf>=3.20.2
 cython
 dill
 ifnude

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

@@ -1,4 +1,5 @@
 from scripts.configure import check_configuration
+from scripts.faceswaplab_utils.sd_utils import get_sd_option
 
 check_configuration()
 
@@ -12,7 +13,7 @@
 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
@@ -76,7 +77,7 @@ def __init__(self) -> None:
 
     @property
     def units_count(self) -> int:
-        return opts.data.get("faceswaplab_units_count", 3)
+        return get_sd_option("faceswaplab_units_count", 3)
 
     @property
     def enabled(self) -> bool:
@@ -85,7 +86,7 @@ def enabled(self) -> bool:
 
     @property
     def keep_original_images(self) -> bool:
-        return opts.data.get("faceswaplab_keep_original", False)
+        return get_sd_option("faceswaplab_keep_original", False)
 
     @property
     def swap_in_generated_units(self) -> List[FaceSwapUnitSettings]:
@@ -99,7 +100,7 @@ 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 +148,7 @@ 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 +182,7 @@ 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 +214,8 @@ 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 +232,16 @@ 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_api/faceswaplab_api.py

@@ -18,9 +18,10 @@
     PostProcessingOptions,
 )
 from client_api import api_utils
-from scripts.faceswaplab_utils.face_checkpoints_utils import (
+from scripts.faceswaplab_swapping.face_checkpoints import (
     build_face_checkpoint_and_save,
 )
+from scripts.faceswaplab_utils.typing import PILImage
 
 
 def encode_to_base64(image: Union[str, Image.Image, np.ndarray]) -> str:  # type: ignore
@@ -99,7 +100,7 @@ async def swap_face(
                 pp_options = None
             units = get_faceswap_units_settings(request.units)
 
-            swapped_images = swapper.batch_process(
+            swapped_images: Optional[List[PILImage]] = swapper.batch_process(
                 [src_image], None, units=units, postprocess_options=pp_options
             )
 

scripts/faceswaplab_globals.py

@@ -1,18 +1,24 @@
 import os
 from modules import scripts
 
+# 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 expected SHA1 hash value for 'INSWAPPER'
 EXPECTED_INSWAPPER_SHA1 = "17a64851eaefd55ea597ee41e5c18409754244c5"

scripts/faceswaplab_inpainting/faceswaplab_inpainting.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import List
+from typing import List, Optional
 import gradio as gr
 from client_api import api_utils
 
@@ -15,10 +15,10 @@ class InpaintingOptions:
 
     @staticmethod
     def from_gradio(components: List[gr.components.Component]) -> "InpaintingOptions":
-        return InpaintingOptions(*components)
+        return InpaintingOptions(*components)  # type: ignore
 
     @staticmethod
-    def from_api_dto(dto: api_utils.InpaintingOptions) -> "InpaintingOptions":
+    def from_api_dto(dto: Optional[api_utils.InpaintingOptions]) -> "InpaintingOptions":
         """
         Converts a InpaintingOptions object from an API DTO (Data Transfer Object).