Merge pull request #96 from glucauze/v1.2.7

v1.2.7 

    remove dill
    add warnings in model install and checking
    add gender selection in build

CHANGELOG.md

@@ -1,3 +1,13 @@
+# 1.2.5
+
+Allow seed selection in inpainting.
+
+# 1.2.4
+
+Fix default settings by marking only managed field as do_not_save.
+
+See the discussion here : https://github.com/glucauze/sd-webui-faceswaplab/issues/62
+
 # 1.2.3
 
 Speed up ui : change the way default settings are manage by not storing them in ui-config.json

README.md

@@ -32,6 +32,32 @@ More on this here : https://glucauze.github.io/sd-webui-faceswaplab/
 
 ## Quick Start
 
+Here are some gifs to explain (non cherry picked, just random pictures) : 
+
+## Simple Usage (roop like)
+
+This use codeformer on all faces (including non swapped)
+
+[simple.webm](https://github.com/glucauze/sd-webui-faceswaplab/assets/137925069/de00b685-d441-44f9-bae3-71cd7abef113)
+
+## Advanced options 
+
+This is use to improve results. This use upscaling and codeformer only on swapped faces
+
+[advanced.webm](https://github.com/glucauze/sd-webui-faceswaplab/assets/137925069/50630311-bd25-487f-871b-0a44eecd435d)
+
+## Inpainting 
+
+This add inpainting on faces : 
+
+[inpainting.webm](https://github.com/glucauze/sd-webui-faceswaplab/assets/137925069/3d3508e9-5be4-4566-8c41-8301b2d08355)
+
+## Build and use checkpoints : 
+
+[build.webm](https://github.com/glucauze/sd-webui-faceswaplab/assets/137925069/e84e9a3c-840d-4536-9fbb-09ed256406d7)
+
+
+
 ### Simple
 
 1. Put a face in the reference.

client_api/api_utils.py

@@ -48,6 +48,7 @@ class InpaintingOptions(BaseModel):
     inpainting_model: str = Field(
         description="Inpainting model", examples=["Current"], default="Current"
     )
+    inpainting_seed: int = Field(description="Inpainting Seed", ge=-1, default=-1)
 
 
 class InswappperOptions(BaseModel):

install.py

@@ -2,12 +2,11 @@ import launch
 import os
 import sys
 import pkg_resources
-from modules import shared
 from packaging.version import parse
 
 
 def check_install() -> None:
-    use_gpu = not getattr(shared.cmd_opts, "use-cpu", False)
+    use_gpu = True
 
     if use_gpu and sys.platform != "darwin":
         print("Faceswaplab : Use GPU requirements")
@@ -63,5 +62,11 @@ def check_install() -> None:
 
 import timeit
 
-check_time = timeit.timeit(check_install, number=1)
-print(check_time)
+try:
+    check_time = timeit.timeit(check_install, number=1)
+    print(check_time)
+except Exception as e:
+    print("FaceswapLab install failed", e)
+    print(
+        "You can try to install dependencies manually by activating venv and installing requirements.txt or requirements-gpu.txt"
+    )

preload.py

@@ -8,8 +8,3 @@ def preload(parser: ArgumentParser) -> None:
         choices=["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"],
         help="Set the log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)",
     )
-    parser.add_argument(
-        "--faceswaplab_gpu",
-        action="store_true",
-        help="Enable GPU if set, disable if not set",
-    )

requirements-gpu.txt

@@ -1,5 +1,4 @@
 cython
-dill
 ifnude
 insightface==0.7.3
 onnx>=1.14.0

requirements.txt

@@ -1,6 +1,5 @@
 protobuf>=3.20.2
 cython
-dill
 ifnude
 insightface==0.7.3
 onnx>=1.14.0

scripts/configure.py

@@ -25,21 +25,26 @@ def check_configuration() -> None:
     model_path = os.path.join(models_dir, model_name)
 
     def download(url: str, path: str) -> None:
-        request = urllib.request.urlopen(url)
-        total = int(request.headers.get("Content-Length", 0))
-        with tqdm(
-            total=total,
-            desc="Downloading inswapper model",
-            unit="B",
-            unit_scale=True,
-            unit_divisor=1024,
-        ) as progress:
-            urllib.request.urlretrieve(
-                url,
-                path,
-                reporthook=lambda count, block_size, total_size: progress.update(
-                    block_size
-                ),
+        try:
+            request = urllib.request.urlopen(url)
+            total = int(request.headers.get("Content-Length", 0))
+            with tqdm(
+                total=total,
+                desc="Downloading inswapper model",
+                unit="B",
+                unit_scale=True,
+                unit_divisor=1024,
+            ) as progress:
+                urllib.request.urlretrieve(
+                    url,
+                    path,
+                    reporthook=lambda count, block_size, total_size: progress.update(
+                        block_size
+                    ),
+                )
+        except:
+            logger.error(
+                "Failed to download inswapper_128.onnx model, please download it manually and put it in the (<sdwebui>/models/faceswaplab/inswapper_128.onnx) directory"
             )
 
     os.makedirs(models_dir, exist_ok=True)

scripts/faceswaplab.py

@@ -111,9 +111,6 @@ class FaceSwapScript(scripts.Script):
         # If the order is modified, the before_process should be changed accordingly.
 
         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
 

scripts/faceswaplab_globals.py

@@ -16,7 +16,7 @@ REFERENCE_PATH = os.path.join(
 )
 
 # Defining the version flag for the application
-VERSION_FLAG: str = "v1.2.3"
+VERSION_FLAG: str = "v1.2.7"
 # Defining the path for 'sd-webui-faceswaplab' inside the 'extensions' directory
 EXTENSION_PATH = os.path.join("extensions", "sd-webui-faceswaplab")
 

scripts/faceswaplab_inpainting/faceswaplab_inpainting.py

@@ -12,6 +12,7 @@ class InpaintingOptions:
     inpainting_steps: int = 20
     inpainting_sampler: str = "Euler"
     inpainting_model: str = "Current"
+    inpainting_seed: int = -1
 
     @staticmethod
     def from_gradio(components: List[gr.components.Component]) -> "InpaintingOptions":
@@ -38,4 +39,5 @@ class InpaintingOptions:
             inpainting_steps=dto.inpainting_steps,
             inpainting_sampler=dto.inpainting_sampler,
             inpainting_model=dto.inpainting_model,
+            inpainting_seed=dto.inpainting_seed,
         )

scripts/faceswaplab_inpainting/i2i_pp.py

@@ -52,6 +52,7 @@ inpainting_steps : {options.inpainting_steps}
                 )
 
                 i2i_kwargs = {
+                    "init_images": [img],
                     "sampler_name": options.inpainting_sampler,
                     "do_not_save_samples": True,
                     "steps": options.inpainting_steps,
@@ -63,23 +64,16 @@ inpainting_steps : {options.inpainting_steps}
                     "prompt": prompt,
                     "negative_prompt": negative_prompt,
                     "denoising_strength": options.inpainting_denoising_strengh,
-                    "override_settings": {
-                        "return_mask_composite": False,
-                        "save_images_before_face_restoration": False,
-                        "save_images_before_highres_fix": False,
-                        "save_images_before_color_correction": False,
-                        "save_mask": False,
-                        "save_mask_composite": False,
-                        "samples_save": False,
-                    },
+                    "seed": options.inpainting_seed,
                 }
+
                 current_model_checkpoint = shared.opts.sd_model_checkpoint
                 if options.inpainting_model and options.inpainting_model != "Current":
                     # Change checkpoint
                     shared.opts.sd_model_checkpoint = options.inpainting_model
                     sd_models.select_checkpoint
                     sd_models.load_model()
-                i2i_p = StableDiffusionProcessingImg2Img([img], **i2i_kwargs)
+                i2i_p = StableDiffusionProcessingImg2Img(**i2i_kwargs)
                 i2i_processed = processing.process_images(i2i_p)
                 if options.inpainting_model and options.inpainting_model != "Current":
                     # Restore checkpoint

scripts/faceswaplab_swapping/face_checkpoints.py

@@ -14,7 +14,6 @@ from scripts.faceswaplab_utils import imgutils
 from scripts.faceswaplab_utils.models_utils import get_swap_models
 import traceback
 
-import dill as pickle  # will be removed in future versions
 from scripts.faceswaplab_swapping import swapper
 from pprint import pformat
 import re
@@ -40,6 +39,7 @@ def sanitize_name(name: str) -> str:
 def build_face_checkpoint_and_save(
     images: List[PILImage],
     name: str,
+    gender: Gender = Gender.AUTO,
     overwrite: bool = False,
     path: Optional[str] = None,
 ) -> Optional[PILImage]:
@@ -65,7 +65,7 @@ def build_face_checkpoint_and_save(
             logger.error("No source faces found")
             return None
 
-        blended_face: Optional[Face] = swapper.blend_faces(faces)
+        blended_face: Optional[Face] = swapper.blend_faces(faces, gender=gender)
         preview_path = os.path.join(
             scripts.basedir(), "extensions", "sd-webui-faceswaplab", "references"
         )
@@ -174,20 +174,13 @@ def load_face(name: str) -> Optional[Face]:
 
     if filename.endswith(".pkl"):
         logger.warning(
-            "Pkl files for faces are deprecated to enhance safety, they will be unsupported in future versions."
+            "Pkl files for faces are deprecated to enhance safety, you need to convert them"
         )
         logger.warning("The file will be converted to .safetensors")
         logger.warning(
             "You can also use this script https://gist.github.com/glucauze/4a3c458541f2278ad801f6625e5b9d3d"
         )
-        with open(filename, "rb") as file:
-            logger.info("Load pkl")
-            face = Face(pickle.load(file))
-            logger.warning(
-                "Convert to safetensors, you can remove the pkl version once you have ensured that the safetensor is working"
-            )
-            save_face(face, filename.replace(".pkl", ".safetensors"))
-        return face
+        return None
 
     elif filename.endswith(".safetensors"):
         face = {}

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_swap_model
-from scripts.faceswaplab_utils.typing import CV2ImgU8, PILImage, Face
+from scripts.faceswaplab_utils.typing import CV2ImgU8, Gender, PILImage, Face
 from scripts.faceswaplab_inpainting.i2i_pp import img2img_diffusion
 from modules import shared
 import onnxruntime
@@ -559,7 +559,7 @@ def get_faces_from_img_files(images: List[PILImage]) -> List[Face]:
     return faces
 
 
-def blend_faces(faces: List[Face]) -> Optional[Face]:
+def blend_faces(faces: List[Face], gender: Gender = Gender.AUTO) -> Optional[Face]:
     """
     Blends the embeddings of multiple faces into a single face.
 
@@ -587,10 +587,19 @@ def blend_faces(faces: List[Face]) -> Optional[Face]:
         # Compute the mean of all embeddings
         blended_embedding = np.mean(embeddings, axis=0)
 
+        if gender == Gender.AUTO:
+            int_gender: int = faces[0].gender  # type: ignore
+        else:
+            int_gender: int = gender.value
+
+        assert -1 < int_gender < 2, "wrong gender"
+
+        logger.info("Int Gender : %s", int_gender)
+
         # Create a new Face object using the properties of the first face in the list
         # Assign the blended embedding to the blended Face object
         blended = ISFace(
-            embedding=blended_embedding, gender=faces[0].gender, age=faces[0].age
+            embedding=blended_embedding, gender=int_gender, age=faces[0].age
         )
 
         return blended

scripts/faceswaplab_ui/faceswaplab_inpainting_ui.py

@@ -4,65 +4,71 @@ from modules import sd_models, sd_samplers
 from scripts.faceswaplab_utils.sd_utils import get_sd_option
 
 
-def face_inpainting_ui(
-    name: str, id_prefix: str = "faceswaplab", description: str = ""
-) -> List[gr.components.Component]:
-    with gr.Accordion(name, open=False):
-        gr.Markdown(description)
-        inpainting_denoising_strength = gr.Slider(
-            0,
+def face_inpainting_ui(id_prefix: str = "faceswaplab") -> List[gr.components.Component]:
+    inpainting_denoising_strength = gr.Slider(
+        0,
+        1,
+        0,
+        step=0.01,
+        elem_id=f"{id_prefix}_pp_inpainting_denoising_strength",
+        label="Denoising strenght",
+    )
+
+    inpainting_denoising_prompt = gr.Textbox(
+        get_sd_option(
+            "faceswaplab_pp_default_inpainting_prompt", "Portrait of a [gender]"
+        ),
+        elem_id=f"{id_prefix}_pp_inpainting_denoising_prompt",
+        label="Inpainting prompt use [gender] instead of men or woman",
+    )
+    inpainting_denoising_negative_prompt = gr.Textbox(
+        get_sd_option("faceswaplab_pp_default_inpainting_negative_prompt", "blurry"),
+        elem_id=f"{id_prefix}_pp_inpainting_denoising_neg_prompt",
+        label="Inpainting negative prompt use [gender] instead of men or woman",
+    )
+    with gr.Row():
+        samplers_names = [s.name for s in sd_samplers.all_samplers]
+        inpainting_sampler = gr.Dropdown(
+            choices=samplers_names,
+            value=[samplers_names[0]],
+            label="Inpainting Sampler",
+            elem_id=f"{id_prefix}_pp_inpainting_sampler",
+        )
+        inpainting_denoising_steps = gr.Slider(
             1,
-            0,
-            step=0.01,
-            elem_id=f"{id_prefix}_pp_inpainting_denoising_strength",
-            label="Denoising strenght",
+            150,
+            20,
+            step=1,
+            label="Inpainting steps",
+            elem_id=f"{id_prefix}_pp_inpainting_steps",
         )
 
-        inpainting_denoising_prompt = gr.Textbox(
-            get_sd_option(
-                "faceswaplab_pp_default_inpainting_prompt", "Portrait of a [gender]"
-            ),
-            elem_id=f"{id_prefix}_pp_inpainting_denoising_prompt",
-            label="Inpainting prompt use [gender] instead of men or woman",
-        )
-        inpainting_denoising_negative_prompt = gr.Textbox(
-            get_sd_option(
-                "faceswaplab_pp_default_inpainting_negative_prompt", "blurry"
-            ),
-            elem_id=f"{id_prefix}_pp_inpainting_denoising_neg_prompt",
-            label="Inpainting negative prompt use [gender] instead of men or woman",
-        )
-        with gr.Row():
-            samplers_names = [s.name for s in sd_samplers.all_samplers]
-            inpainting_sampler = gr.Dropdown(
-                choices=samplers_names,
-                value=[samplers_names[0]],
-                label="Inpainting Sampler",
-                elem_id=f"{id_prefix}_pp_inpainting_sampler",
-            )
-            inpainting_denoising_steps = gr.Slider(
-                1,
-                150,
-                20,
-                step=1,
-                label="Inpainting steps",
-                elem_id=f"{id_prefix}_pp_inpainting_steps",
-            )
+    inpaiting_model = gr.Dropdown(
+        choices=["Current"] + sd_models.checkpoint_tiles(),
+        default="Current",
+        label="sd model (experimental)",
+        elem_id=f"{id_prefix}_pp_inpainting_sd_model",
+    )
 
-        inpaiting_model = gr.Dropdown(
-            choices=["Current"] + sd_models.checkpoint_tiles(),
-            default="Current",
-            label="sd model (experimental)",
-            elem_id=f"{id_prefix}_pp_inpainting_sd_model",
-        )
+    inpaiting_seed = gr.Number(
+        label="Inpainting seed",
+        value=0,
+        minimum=0,
+        precision=0,
+        elem_id=f"{id_prefix}_pp_inpainting_seed",
+    )
 
-        gradio_components: List[gr.components.Component] = [
-            inpainting_denoising_strength,
-            inpainting_denoising_prompt,
-            inpainting_denoising_negative_prompt,
-            inpainting_denoising_steps,
-            inpainting_sampler,
-            inpaiting_model,
-        ]
+    gradio_components: List[gr.components.Component] = [
+        inpainting_denoising_strength,
+        inpainting_denoising_prompt,
+        inpainting_denoising_negative_prompt,
+        inpainting_denoising_steps,
+        inpainting_sampler,
+        inpaiting_model,
+        inpaiting_seed,
+    ]
 
-        return gradio_components
+    for component in gradio_components:
+        setattr(component, "do_not_save_to_config", True)
+
+    return gradio_components

scripts/faceswaplab_ui/faceswaplab_postprocessing_ui.py

@@ -1,9 +1,9 @@
 from typing import List
 import gradio as gr
-import modules
-from modules import shared, sd_models
+from modules import shared
 from scripts.faceswaplab_postprocessing.postprocessing_options import InpaintingWhen
 from scripts.faceswaplab_utils.sd_utils import get_sd_option
+from scripts.faceswaplab_ui.faceswaplab_inpainting_ui import face_inpainting_ui
 
 
 def postprocessing_ui() -> List[gr.components.Component]:
@@ -66,9 +66,10 @@ def postprocessing_ui() -> List[gr.components.Component]:
             label="Upscaler visibility (if scale = 1)",
             elem_id="faceswaplab_pp_upscaler_visibility",
         )
-        with gr.Accordion(f"Post Inpainting", open=True):
+
+        with gr.Accordion(label="Global-Inpainting (all faces)", open=False):
             gr.Markdown(
-                """Inpainting sends image to inpainting with a mask on face (once for each faces)."""
+                "Inpainting sends image to inpainting with a mask on face (once for each faces)."
             )
             inpainting_when = gr.Dropdown(
                 elem_id="faceswaplab_pp_inpainting_when",
@@ -76,52 +77,8 @@ def postprocessing_ui() -> List[gr.components.Component]:
                 value=[InpaintingWhen.BEFORE_RESTORE_FACE.value],
                 label="Enable/When",
             )
-            inpainting_denoising_strength = gr.Slider(
-                0,
-                1,
-                0,
-                step=0.01,
-                elem_id="faceswaplab_pp_inpainting_denoising_strength",
-                label="Denoising strenght (will send face to img2img after processing)",
-            )
+            global_inpainting = face_inpainting_ui("faceswaplab_gpp")
 
-            inpainting_denoising_prompt = gr.Textbox(
-                get_sd_option(
-                    "faceswaplab_pp_default_inpainting_prompt", "Portrait of a [gender]"
-                ),
-                elem_id="faceswaplab_pp_inpainting_denoising_prompt",
-                label="Inpainting prompt use [gender] instead of men or woman",
-            )
-            inpainting_denoising_negative_prompt = gr.Textbox(
-                get_sd_option(
-                    "faceswaplab_pp_default_inpainting_negative_prompt", "blurry"
-                ),
-                elem_id="faceswaplab_pp_inpainting_denoising_neg_prompt",
-                label="Inpainting negative prompt use [gender] instead of men or woman",
-            )
-            with gr.Row():
-                samplers_names = [s.name for s in modules.sd_samplers.all_samplers]  # type: ignore
-                inpainting_sampler = gr.Dropdown(
-                    choices=samplers_names,
-                    value=[samplers_names[0]],
-                    label="Inpainting Sampler",
-                    elem_id="faceswaplab_pp_inpainting_sampler",
-                )
-                inpainting_denoising_steps = gr.Slider(
-                    1,
-                    150,
-                    20,
-                    step=1,
-                    label="Inpainting steps",
-                    elem_id="faceswaplab_pp_inpainting_steps",
-                )
-
-            inpaiting_model = gr.Dropdown(
-                choices=["Current"] + sd_models.checkpoint_tiles(),
-                default="Current",
-                label="sd model (experimental)",
-                elem_id="faceswaplab_pp_inpainting_sd_model",
-            )
     components = [
         face_restorer_name,
         face_restorer_visibility,
@@ -130,13 +87,7 @@ def postprocessing_ui() -> List[gr.components.Component]:
         upscaler_scale,
         upscaler_visibility,
         inpainting_when,
-        inpainting_denoising_strength,
-        inpainting_denoising_prompt,
-        inpainting_denoising_negative_prompt,
-        inpainting_denoising_steps,
-        inpainting_sampler,
-        inpaiting_model,
-    ]
+    ] + global_inpainting
 
     # Ask sd to not store in ui-config.json
     for component in components:

scripts/faceswaplab_ui/faceswaplab_tab.py

@@ -137,7 +137,7 @@ def analyse_faces(image: PILImage, det_threshold: float = 0.5) -> Optional[str]:
 
 
 def build_face_checkpoint_and_save(
-    batch_files: List[gr.File], name: str, overwrite: bool
+    batch_files: List[gr.File], name: str, str_gender: str, overwrite: bool
 ) -> PILImage:
     """
     Builds a face checkpoint using the provided image files, performs face swapping,
@@ -156,10 +156,13 @@ def build_face_checkpoint_and_save(
         if not batch_files:
             logger.error("No face found")
             return None  # type: ignore (Optional not really supported by old gradio)
+
+        gender = getattr(Gender, str_gender)
+        logger.info("Choosen gender : %s", gender)
         images: list[PILImage] = [Image.open(file.name) for file in batch_files]  # type: ignore
         preview_image: PILImage | None = (
             face_checkpoints.build_face_checkpoint_and_save(
-                images=images, name=name, overwrite=overwrite
+                images=images, name=name, overwrite=overwrite, gender=gender
             )
         )
     except Exception as e:
@@ -266,6 +269,13 @@ def tools_ui() -> None:
                 label="Name of the character",
                 elem_id="faceswaplab_build_character_name",
             )
+            build_gender = gr.Dropdown(
+                value=Gender.AUTO.name,
+                choices=[e.name for e in Gender],
+                placeholder="Gender of the character",
+                label="Gender of the character",
+                elem_id="faceswaplab_build_character_gender",
+            )
             build_overwrite = gr.Checkbox(
                 False,
                 placeholder="overwrite",
@@ -387,7 +397,7 @@ def tools_ui() -> None:
     compare_btn.click(compare, inputs=[img1, img2], outputs=[compare_result_text])
     generate_checkpoint_btn.click(
         build_face_checkpoint_and_save,
-        inputs=[build_batch_files, build_name, build_overwrite],
+        inputs=[build_batch_files, build_name, build_gender, build_overwrite],
         outputs=[preview],
     )
     extract_btn.click(

scripts/faceswaplab_ui/faceswaplab_unit_ui.py

@@ -80,7 +80,7 @@ def faceswap_unit_advanced_options(
             elem_id=f"{id_prefix}_face{unit_num}_erosion_factor",
         )
 
-    return [
+    components = [
         face_restorer_name,
         face_restorer_visibility,
         codeformer_weight,
@@ -91,6 +91,11 @@ def faceswap_unit_advanced_options(
         erosion_factor,
     ]
 
+    for component in components:
+        setattr(component, "do_not_save_to_config", True)
+
+    return components
+
 
 def faceswap_unit_ui(
     is_img2img: bool, unit_num: int = 1, id_prefix: str = "faceswaplab"
@@ -244,19 +249,19 @@ Otherwise, read the [doc](https://glucauze.github.io/sd-webui-faceswaplab/doc/)
                 elem_id=f"{id_prefix}_face{unit_num}_min_ref_similarity",
             )
 
-        pre_inpainting = face_inpainting_ui(
-            name="Pre-Inpainting (Before swapping)",
-            id_prefix=f"{id_prefix}_face{unit_num}_preinpainting",
-            description="Pre-inpainting sends face to inpainting before swapping",
-        )
+        with gr.Accordion(label="Pre-Inpainting (before swapping)", open=False):
+            gr.Markdown("Pre-inpainting sends face to inpainting before swapping")
+            pre_inpainting = face_inpainting_ui(
+                id_prefix=f"{id_prefix}_face{unit_num}_preinpainting",
+            )
 
         options = faceswap_unit_advanced_options(is_img2img, unit_num, id_prefix)
 
-        post_inpainting = face_inpainting_ui(
-            name="Post-Inpainting (After swapping)",
-            id_prefix=f"{id_prefix}_face{unit_num}_postinpainting",
-            description="Post-inpainting sends face to inpainting after swapping",
-        )
+        with gr.Accordion(label="Post-Inpainting (After swapping)", open=False):
+            gr.Markdown("Pre-inpainting sends face to inpainting before swapping")
+            post_inpainting = face_inpainting_ui(
+                id_prefix=f"{id_prefix}_face{unit_num}_postinpainting",
+            )
 
     gradio_components: List[gr.components.Component] = (
         [
@@ -281,10 +286,6 @@ 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/models_utils.py

@@ -72,10 +72,16 @@ def get_current_swap_model() -> str:
         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):  # type: ignore
-        logger.error("The model %s cannot be found or loaded", model)
+    try:
+        if not model or 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. Ensure the model is in the proper directory (<sdwebui>/models/faceswaplab/inswapper_128.onnx)"
+            )
+    except:
         raise FileNotFoundError(
-            "No faceswap model found. Please add it to the faceswaplab directory."
+            "No faceswap model found. Please add it to the faceswaplab directory. Ensure the model is in the proper directory (<sdwebui>/models/faceswaplab/inswapper_128.onnx)"
         )
+
     assert model is not None
     return model

scripts/faceswaplab_utils/typing.py

@@ -3,8 +3,15 @@ from numpy import uint8
 from insightface.app.common import Face as IFace
 from PIL import Image
 import numpy as np
+from enum import Enum
 
 PILImage = Image.Image
 CV2ImgU8 = np.ndarray[int, np.dtype[uint8]]
 Face = IFace
 BoxCoords = Tuple[int, int, int, int]
+
+
+class Gender(Enum):
+    AUTO = -1
+    FEMALE = 0
+    MALE = 1