V.1.2.0 rc

CHANGELOG.md

@@ -1,3 +1,23 @@
+# 1.2.0 :
+
+This version changes quite a few things.
+
++ The upscaled inswapper options are now moved to each face unit. This makes it possible to fine-tune the settings for each face.
+
++ Upscaled inswapper configuration in sd now concerns default values in each unit's interface.
+
++ Pre- and post-inpainting is now possible for each face. Here too, default options are set in the main sd settings.
+
++ Codeformer is no longer the default in post-processing. Don't be surprised if you get bad results by default. You can set it to default in the application's global settings
+
+Bug fixes :
+
++ The problem of saving the grid should be solved.
++ The downscaling problem for inpainting should be solved.
++ Change model download logic and add checksum. This should prevent some bugs.
+
+In terms of the API, it is now possible to create a remote checkpoint and use it in units. See the example in client_api or the tests in the tests directory.
+
 # 1.1.2 :
 
 + Switch face checkpoint format from pkl to safetensors

README.md

@@ -14,12 +14,16 @@ 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 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.
 + **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.
 
 More on this here : https://glucauze.github.io/sd-webui-faceswaplab/ 
 
+### Known problems (wontfix):
+
++ Older versions of gradio don't work well with the extension. See this bug : https://github.com/glucauze/sd-webui-faceswaplab/issues/5
+
 ### 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).

client_api/api_utils.py

@@ -9,6 +9,7 @@
 from typing import List, Tuple, Optional
 import numpy as np
 import requests
+import safetensors
 
 
 class InpaintingWhen(Enum):
@@ -18,6 +19,54 @@ class InpaintingWhen(Enum):
     AFTER_ALL = "After All"
 
 
+class InpaintingOptions(BaseModel):
+    inpainting_denoising_strengh: float = Field(
+        description="Inpainting denoising strenght", default=0, lt=1, ge=0
+    )
+    inpainting_prompt: str = Field(
+        description="Inpainting denoising strenght",
+        examples=["Portrait of a [gender]"],
+        default="Portrait of a [gender]",
+    )
+    inpainting_negative_prompt: str = Field(
+        description="Inpainting denoising strenght",
+        examples=[
+            "Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation"
+        ],
+        default="",
+    )
+    inpainting_steps: int = Field(
+        description="Inpainting steps",
+        examples=["Portrait of a [gender]"],
+        ge=1,
+        le=150,
+        default=20,
+    )
+    inpainting_sampler: str = Field(
+        description="Inpainting sampler", examples=["Euler"], default="Euler"
+    )
+    inpainting_model: str = Field(
+        description="Inpainting model", examples=["Current"], default="Current"
+    )
+
+
+class InswappperOptions(BaseModel):
+    face_restorer_name: str = Field(
+        description="face restorer name", default="CodeFormer"
+    )
+    restorer_visibility: float = Field(
+        description="face restorer visibility", default=1, le=1, ge=0
+    )
+    codeformer_weight: float = Field(
+        description="face restorer codeformer weight", default=1, le=1, ge=0
+    )
+    upscaler_name: str = Field(description="upscaler name", default=None)
+    improved_mask: bool = Field(description="Use Improved Mask", default=False)
+    color_corrections: bool = Field(description="Use Color Correction", default=False)
+    sharpen: bool = Field(description="Sharpen Image", default=False)
+    erosion_factor: float = Field(description="Erosion Factor", default=1, le=10, ge=0)
+
+
 class FaceSwapUnit(BaseModel):
     # The image given in reference
     source_img: str = Field(
@@ -82,6 +131,21 @@ class FaceSwapUnit(BaseModel):
         default=0,
     )
 
+    pre_inpainting: Optional[InpaintingOptions] = Field(
+        description="Inpainting options",
+        default=None,
+    )
+
+    swapping_options: Optional[InswappperOptions] = Field(
+        description="PostProcessing & Mask options",
+        default=None,
+    )
+
+    post_inpainting: Optional[InpaintingOptions] = Field(
+        description="Inpainting options",
+        default=None,
+    )
+
     def get_batch_images(self) -> List[Image.Image]:
         images = []
         if self.batch_images:
@@ -104,39 +168,15 @@ class PostProcessingOptions(BaseModel):
     upscaler_visibility: float = Field(
         description="upscaler visibility", default=1, le=1, ge=0
     )
-
-    inpainting_denoising_strengh: float = Field(
-        description="Inpainting denoising strenght", default=0, lt=1, ge=0
-    )
-    inpainting_prompt: str = Field(
-        description="Inpainting denoising strenght",
-        examples=["Portrait of a [gender]"],
-        default="Portrait of a [gender]",
-    )
-    inpainting_negative_prompt: str = Field(
-        description="Inpainting denoising strenght",
-        examples=[
-            "Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation"
-        ],
-        default="",
-    )
-    inpainting_steps: int = Field(
-        description="Inpainting steps",
-        examples=["Portrait of a [gender]"],
-        ge=1,
-        le=150,
-        default=20,
-    )
-    inpainting_sampler: str = Field(
-        description="Inpainting sampler", examples=["Euler"], default="Euler"
-    )
     inpainting_when: InpaintingWhen = Field(
         description="When inpainting happens",
         examples=[e.value for e in InpaintingWhen.__members__.values()],
         default=InpaintingWhen.NEVER,
     )
-    inpainting_model: str = Field(
-        description="Inpainting model", examples=["Current"], default="Current"
+
+    inpainting_options: Optional[InpaintingOptions] = Field(
+        description="Inpainting options",
+        default=None,
     )
 
 
@@ -147,7 +187,7 @@ class FaceSwapRequest(BaseModel):
         default=None,
     )
     units: List[FaceSwapUnit]
-    postprocessing: Optional[PostProcessingOptions]
+    postprocessing: Optional[PostProcessingOptions] = None
 
 
 class FaceSwapResponse(BaseModel):
@@ -227,3 +267,26 @@ def compare_faces(
     )
 
     return float(result.text)
+
+
+def safetensors_to_base64(file_path: str) -> str:
+    with open(file_path, "rb") as file:
+        file_bytes = file.read()
+        return "data:application/face;base64," + base64.b64encode(file_bytes).decode(
+            "utf-8"
+        )
+
+
+def base64_to_safetensors(base64str: str, output_path: str) -> None:
+    try:
+        base64_data = base64str.split("base64,")[-1]
+        file_bytes = base64.b64decode(base64_data)
+        with open(output_path, "wb") as file:
+            file.write(file_bytes)
+        with safetensors.safe_open(output_path, framework="pt") as f:
+            print(output_path, "keys =", f.keys())
+    except Exception as e:
+        print("Error : failed to convert base64 string to safetensor", e)
+        import traceback
+
+        traceback.print_exc()

client_api/faceswaplab_api_example.py

@@ -1,18 +1,25 @@
+from typing import List
 import requests
 from api_utils import (
-    FaceSwapRequest,
     FaceSwapUnit,
-    PostProcessingOptions,
-    FaceSwapResponse,
+    InswappperOptions,
+    base64_to_safetensors,
     pil_to_base64,
+    PostProcessingOptions,
     InpaintingWhen,
-    FaceSwapCompareRequest,
+    InpaintingOptions,
+    FaceSwapRequest,
+    FaceSwapResponse,
     FaceSwapExtractRequest,
+    FaceSwapCompareRequest,
     FaceSwapExtractResponse,
+    safetensors_to_base64,
 )
 
 address = "http://127.0.0.1:7860"
 
+# This has been tested on Linux platforms. This might requires some minor adaptations for windows.
+
 
 #############################
 # FaceSwap
@@ -37,9 +44,11 @@
     restorer_visibility=1,
     upscaler_name="Lanczos",
     scale=4,
-    inpainting_steps=30,
-    inpainting_denoising_strengh=0.1,
     inpainting_when=InpaintingWhen.BEFORE_RESTORE_FACE,
+    inpainting_options=InpaintingOptions(
+        inpainting_steps=30,
+        inpainting_denoising_strengh=0.1,
+    ),
 )
 
 # Prepare the request
@@ -91,3 +100,52 @@
 
 for img in response.pil_images:
     img.show()
+
+
+#############################
+# Build checkpoint
+
+source_images: List[str] = [
+    pil_to_base64("../references/man.png"),
+    pil_to_base64("../references/woman.png"),
+]
+
+result = requests.post(
+    url=f"{address}/faceswaplab/build",
+    json=source_images,
+    headers={"Content-Type": "application/json; charset=utf-8"},
+)
+
+base64_to_safetensors(result.json(), output_path="test.safetensors")
+
+#############################
+# FaceSwap with local safetensors
+
+# First face unit :
+unit1 = FaceSwapUnit(
+    source_face=safetensors_to_base64(
+        "test.safetensors"
+    ),  # convert the checkpoint to base64
+    faces_index=(0,),  # Replace first face
+    swapping_options=InswappperOptions(
+        face_restorer_name="CodeFormer",
+        upscaler_name="LDSR",
+        improved_mask=True,
+        sharpen=True,
+        color_corrections=True,
+    ),
+)
+
+# Prepare the request
+request = FaceSwapRequest(image=pil_to_base64("test_image.png"), units=[unit1])
+
+# Face Swap
+result = requests.post(
+    url=f"{address}/faceswaplab/swap_face",
+    data=request.json(),
+    headers={"Content-Type": "application/json; charset=utf-8"},
+)
+response = FaceSwapResponse.parse_obj(result.json())
+
+for img in response.pil_images:
+    img.show()

client_api/requirements.txt

@@ -0,0 +1,5 @@
+numpy==1.25.1
+Pillow==10.0.0
+pydantic==1.10.9
+Requests==2.31.0
+safetensors==0.3.1