Merge pull request #63 from glucauze/v1.2.3

change model link

.pre-commit-config.yaml

@@ -1,8 +1,4 @@
 repos:
-    - repo: https://github.com/psf/black
-      rev: 23.7.0
-      hooks:
-        - id: black
     - repo: https://github.com/pre-commit/pre-commit-hooks
       rev: v4.4.0
       hooks:
@@ -10,4 +6,8 @@ repos:
         - id: check-case-conflict
         - id: check-docstring-first
         - id: detect-private-key
-        - id: fix-byte-order-marker
+        - id: fix-byte-order-marker
+    - repo: https://github.com/psf/black
+      rev: 23.7.0
+      hooks:
+        - id: black

CHANGELOG.md

@@ -1,3 +1,19 @@
+# 1.2.3
+
+Speed up ui : change the way default settings are manage by not storing them in ui-config.json
+
+Migration : YOU NEED TO recreate ui-config.json (delete) or at least remove any faceswaplab reference to be able to use default settings again.
+
+See this for explainations : https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/6109
+
+# 1.2.2
+
++ Add NSFW filter option in settings (1 == disable)
++ Improve install speed
++ Install gpu requirements by default if --use-cpu is not used
++ Fix improved mask + color correction
++ Remove javascript, use https://github.com/w-e-w/sdwebui-close-confirmation-dialogue.git instead to prevent gradio from closing.
+
 # 1.2.1 :
 
 Add GPU support option : see https://github.com/glucauze/sd-webui-faceswaplab/pull/24

README.md

@@ -1,6 +1,12 @@
 # FaceSwapLab for a1111/Vlad
 
-Please read the documentation here : https://glucauze.github.io/sd-webui-faceswaplab/
+V1.2.3 : Breaking change for settings, please read changelog.
+
+Please read the documentation here : https://glucauze.github.io/sd-webui-faceswaplab/ 
+
+You can also read the [doc discussion section](https://github.com/glucauze/sd-webui-faceswaplab/discussions/categories/guide-doc)
+
+See [CHANGELOG.md](CHANGELOG.md) for changes in last versions.
 
 FaceSwapLab is an extension for Stable Diffusion that simplifies face-swapping. It has evolved from sd-webui-faceswap and some part of sd-webui-roop. However, a substantial amount of the code has been rewritten to improve performance and to better manage masks.
 

docs/documentation.markdown

@@ -5,6 +5,8 @@ permalink: /doc/
 toc: true
 ---
 
+You can also read the [doc discussion section](https://github.com/glucauze/sd-webui-faceswaplab/discussions/categories/guide-doc)
+
 ## TLDR: I Just Want Good Results:
 
 1. Put a face in the reference.

javascript/faceswap.js

@@ -1,4 +0,0 @@
-window.onbeforeunload = function() {
-    // Prevent the stable diffusion window from being closed by mistake
-    return "Are you sure ?";
-};

scripts/configure.py

@@ -20,7 +20,7 @@ def check_configuration() -> None:
     models_dir = MODELS_DIR
     faces_dir = FACES_DIR
 
-    model_url = "https://huggingface.co/henryruhs/roop/resolve/main/inswapper_128.onnx"
+    model_url = "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx"
     model_name = os.path.basename(model_url)
     model_path = os.path.join(models_dir, model_name)
 

scripts/faceswaplab.py

@@ -109,7 +109,13 @@ class FaceSwapScript(scripts.Script):
                 components += faceswaplab_unit_ui.faceswap_unit_ui(is_img2img, i)
             post_processing = faceswaplab_tab.postprocessing_ui()
         # If the order is modified, the before_process should be changed accordingly.
-        return components + post_processing
+
+        components = components + post_processing
+        # Ask sd to not store in ui-config.json
+        for component in components:
+            setattr(component, "do_not_save_to_config", True)
+
+        return components
 
     def read_config(
         self, p: StableDiffusionProcessing, *components: Tuple[Any, ...]

scripts/faceswaplab_globals.py

@@ -16,7 +16,7 @@ REFERENCE_PATH = os.path.join(
 )
 
 # Defining the version flag for the application
-VERSION_FLAG: str = "v1.2.2"
+VERSION_FLAG: str = "v1.2.3"
 # Defining the path for 'sd-webui-faceswaplab' inside the 'extensions' directory
 EXTENSION_PATH = os.path.join("extensions", "sd-webui-faceswaplab")
 

scripts/faceswaplab_swapping/upscaled_inswapper.py

@@ -216,18 +216,11 @@ class UpscaledINSwapper(INSwapper):
                         bgr_fake, inswapper_options=options, k=k
                     )
 
-                    if options.improved_mask:
+                    fake_diff: CV2ImgU8 = None  # type: ignore
-                        if k == 1:
-                            logger.warning(
-                                "Please note that improved mask does not work well without upscaling. Set upscaling to Lanczos at least if you want speed and want to use improved mask."
-                            )
 
-                        logger.info("improved_mask")
+                    if not options.improved_mask:
-                        mask = get_face_mask(aimg, bgr_fake)
+                        # If improved mask is not used, we should compute before sharpen and color correction (better diff)
-                        bgr_fake = merge_images_with_mask(aimg, bgr_fake, mask)
+                        fake_diff = compute_diff(bgr_fake, aimg=aimg)
-
-                    # compute fake_diff before sharpen and color correction (better result)
-                    fake_diff = compute_diff(bgr_fake, aimg)
 
                     if options.sharpen:
                         logger.info("sharpen")
@@ -244,6 +237,24 @@ class UpscaledINSwapper(INSwapper):
                         )
                         bgr_fake = pil_to_cv2(bgr_fake_pil)
 
+                    if options.improved_mask:
+                        if k == 1:
+                            logger.warning(
+                                "Please note that improved mask does not work well without upscaling. Set upscaling to Lanczos at least if you want speed and want to use improved mask."
+                            )
+
+                        logger.info("improved_mask")
+                        mask = get_face_mask(aimg, bgr_fake)
+                        # save_img_debug(cv2_to_pil(bgr_fake), "Before Mask")
+                        bgr_fake = merge_images_with_mask(aimg, bgr_fake, mask)
+                        # save_img_debug(cv2_to_pil(bgr_fake), "After Mask")
+
+                        fake_diff = compute_diff(bgr_fake, aimg=aimg)
+
+                    assert (
+                        fake_diff is not None
+                    ), "fake diff is None, this should not happen"
+
                     logger.info("*" * 80)
 
                 else:
@@ -266,6 +277,7 @@ class UpscaledINSwapper(INSwapper):
                     (target_img.shape[1], target_img.shape[0]),
                     borderValue=0.0,
                 )
+
                 fake_diff = cv2.warpAffine(
                     fake_diff,
                     IM,

scripts/faceswaplab_ui/faceswaplab_postprocessing_ui.py

@@ -15,18 +15,19 @@ def postprocessing_ui() -> List[gr.components.Component]:
             face_restorer_name = gr.Radio(
                 label="Restore Face",
                 choices=["None"] + [x.name() for x in shared.face_restorers],
-                value=lambda: get_sd_option(
+                value=get_sd_option(
                     "faceswaplab_pp_default_face_restorer",
                     shared.face_restorers[0].name(),
                 ),
                 type="value",
                 elem_id="faceswaplab_pp_face_restorer",
             )
+
             with gr.Column():
                 face_restorer_visibility = gr.Slider(
                     0,
                     1,
-                    value=lambda: get_sd_option(
+                    value=get_sd_option(
                         "faceswaplab_pp_default_face_restorer_visibility", 1
                     ),
                     step=0.001,
@@ -36,7 +37,7 @@ def postprocessing_ui() -> List[gr.components.Component]:
                 codeformer_weight = gr.Slider(
                     0,
                     1,
-                    value=lambda: get_sd_option(
+                    value=get_sd_option(
                         "faceswaplab_pp_default_face_restorer_weight", 1
                     ),
                     step=0.001,
@@ -45,7 +46,7 @@ def postprocessing_ui() -> List[gr.components.Component]:
                 )
         upscaler_name = gr.Dropdown(
             choices=[upscaler.name for upscaler in shared.sd_upscalers],
-            value=lambda: get_sd_option("faceswaplab_pp_default_upscaler", "None"),
+            value=get_sd_option("faceswaplab_pp_default_upscaler", "None"),
             label="Upscaler",
             elem_id="faceswaplab_pp_upscaler",
         )
@@ -60,9 +61,7 @@ def postprocessing_ui() -> List[gr.components.Component]:
         upscaler_visibility = gr.Slider(
             0,
             1,
-            value=lambda: get_sd_option(
+            value=get_sd_option("faceswaplab_pp_default_upscaler_visibility", 1),
-                "faceswaplab_pp_default_upscaler_visibility", 1
-            ),
             step=0.1,
             label="Upscaler visibility (if scale = 1)",
             elem_id="faceswaplab_pp_upscaler_visibility",
@@ -123,7 +122,7 @@ def postprocessing_ui() -> List[gr.components.Component]:
                 label="sd model (experimental)",
                 elem_id="faceswaplab_pp_inpainting_sd_model",
             )
-    return [
+    components = [
         face_restorer_name,
         face_restorer_visibility,
         codeformer_weight,
@@ -138,3 +137,8 @@ def postprocessing_ui() -> List[gr.components.Component]:
         inpainting_sampler,
         inpaiting_model,
     ]
+
+    # Ask sd to not store in ui-config.json
+    for component in components:
+        setattr(component, "do_not_save_to_config", True)
+    return components

scripts/faceswaplab_ui/faceswaplab_unit_ui.py

@@ -17,7 +17,7 @@ def faceswap_unit_advanced_options(
             face_restorer_name = gr.Radio(
                 label="Restore Face",
                 choices=["None"] + [x.name() for x in shared.face_restorers],
-                value=lambda: get_sd_option(
+                value=get_sd_option(
                     "faceswaplab_default_upscaled_swapper_face_restorer",
                     "None",
                 ),
@@ -28,7 +28,7 @@ def faceswap_unit_advanced_options(
                 face_restorer_visibility = gr.Slider(
                     0,
                     1,
-                    value=lambda: get_sd_option(
+                    value=get_sd_option(
                         "faceswaplab_default_upscaled_swapper_face_restorer_visibility",
                         1.0,
                     ),
@@ -39,7 +39,7 @@ def faceswap_unit_advanced_options(
                 codeformer_weight = gr.Slider(
                     0,
                     1,
-                    value=lambda: get_sd_option(
+                    value=get_sd_option(
                         "faceswaplab_default_upscaled_swapper_face_restorer_weight", 1.0
                     ),
                     step=0.001,
@@ -48,33 +48,25 @@ def faceswap_unit_advanced_options(
                 )
         upscaler_name = gr.Dropdown(
             choices=[upscaler.name for upscaler in shared.sd_upscalers],
-            value=lambda: get_sd_option(
+            value=get_sd_option("faceswaplab_default_upscaled_swapper_upscaler", ""),
-                "faceswaplab_default_upscaled_swapper_upscaler", ""
-            ),
             label="Upscaler",
             elem_id=f"{id_prefix}_face{unit_num}_upscaler",
         )
 
         improved_mask = gr.Checkbox(
-            lambda: get_sd_option(
+            get_sd_option("faceswaplab_default_upscaled_swapper_improved_mask", False),
-                "faceswaplab_default_upscaled_swapper_improved_mask", False
-            ),
             interactive=True,
             label="Use improved segmented mask (use pastenet to mask only the face)",
             elem_id=f"{id_prefix}_face{unit_num}_improved_mask",
         )
         color_corrections = gr.Checkbox(
-            lambda: get_sd_option(
+            get_sd_option("faceswaplab_default_upscaled_swapper_fixcolor", False),
-                "faceswaplab_default_upscaled_swapper_fixcolor", False
-            ),
             interactive=True,
             label="Use color corrections",
             elem_id=f"{id_prefix}_face{unit_num}_color_corrections",
         )
         sharpen_face = gr.Checkbox(
-            lambda: get_sd_option(
+            get_sd_option("faceswaplab_default_upscaled_swapper_sharpen", False),
-                "faceswaplab_default_upscaled_swapper_sharpen", False
-            ),
             interactive=True,
             label="sharpen face",
             elem_id=f"{id_prefix}_face{unit_num}_sharpen_face",
@@ -82,7 +74,7 @@ def faceswap_unit_advanced_options(
         erosion_factor = gr.Slider(
             0.0,
             10.0,
-            lambda: get_sd_option("faceswaplab_default_upscaled_swapper_erosion", 1.0),
+            get_sd_option("faceswaplab_default_upscaled_swapper_erosion", 1.0),
             step=0.01,
             label="Upscaled swapper mask erosion factor, 1 = default behaviour.",
             elem_id=f"{id_prefix}_face{unit_num}_erosion_factor",
@@ -137,7 +129,7 @@ def faceswap_unit_ui(
                     elem_id=f"{id_prefix}_face{unit_num}_refresh_checkpoints",
                 )
 
-                def refresh_fn(selected: str) -> None:
+                def refresh_fn(selected: str):
                     return gr.Dropdown.update(
                         value=selected, choices=get_face_checkpoints()
                     )
@@ -289,6 +281,10 @@ Otherwise, read the [doc](https://glucauze.github.io/sd-webui-faceswaplab/doc/)
         + post_inpainting
     )
 
+    # Ask sd to not store in ui-config.json
+    for component in gradio_components:
+        setattr(component, "do_not_save_to_config", True)
+
     # If changed, you need to change FaceSwapUnitSettings accordingly
     # ORDER of parameters is IMPORTANT. It should match the result of FaceSwapUnitSettings
     return gradio_components

scripts/faceswaplab_utils/imgutils.py

@@ -5,7 +5,6 @@ import cv2
 import numpy as np
 from math import isqrt, ceil
 import torch
-from ifnude import detect
 from modules import processing
 import base64
 from collections import Counter
@@ -31,6 +30,8 @@ def check_against_nsfw(img: PILImage) -> bool:
     if NSFW_SCORE_THRESHOLD >= 1:
         return False
 
+    from ifnude import detect
+
     shapes: List[bool] = []
     chunks: List[Dict[str, Union[int, float]]] = detect(img)