Download comfyui-reactor-node/scripts/faceswap.py from crystantine/COMFYUI-CUSTOM-NODES: direct link, hf CLI and curl.
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- Download file 4.87 kB
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https://huggingface.co/datasets/crystantine/COMFYUI-CUSTOM-NODES/resolve/main/comfyui-reactor-node/scripts/faceswap.py
- Command line
-
hf download hf://datasets/crystantine/COMFYUI-CUSTOM-NODES/comfyui-reactor-node/scripts/faceswap.py
-
curl -L -o faceswap.py https://huggingface.co/datasets/crystantine/COMFYUI-CUSTOM-NODES/resolve/main/comfyui-reactor-node/scripts/faceswap.py
4.87 kB
| import modules.scripts as scripts | |
| from modules.upscaler import Upscaler, UpscalerData | |
| from modules import scripts, shared, images, scripts_postprocessing | |
| from modules.processing import ( | |
| StableDiffusionProcessing, | |
| StableDiffusionProcessingImg2Img, | |
| ) | |
| from PIL import Image | |
| import glob | |
| from modules.face_restoration import FaceRestoration | |
| from scripts.logger import logger | |
| from scripts.swapper import UpscaleOptions, swap_face | |
| from scripts.version import version_flag, app_title | |
| import os | |
| def get_models(): | |
| models_path = os.path.join(scripts.basedir(), "models/roop/*") | |
| models = glob.glob(models_path) | |
| models = [x for x in models if x.endswith(".onnx") or x.endswith(".pth")] | |
| return models | |
| class FaceSwapScript(scripts.Script): | |
| def upscaler(self) -> UpscalerData: | |
| for upscaler in shared.sd_upscalers: | |
| if upscaler.name == self.upscaler_name: | |
| return upscaler | |
| return None | |
| def face_restorer(self) -> FaceRestoration: | |
| for face_restorer in shared.face_restorers: | |
| if face_restorer.name() == self.face_restorer_name: | |
| return face_restorer | |
| return None | |
| def upscale_options(self) -> UpscaleOptions: | |
| return UpscaleOptions( | |
| do_restore_first = self.restore_first, | |
| scale=self.upscaler_scale, | |
| upscaler=self.upscaler, | |
| face_restorer=self.face_restorer, | |
| upscale_visibility=self.upscaler_visibility, | |
| restorer_visibility=self.face_restorer_visibility, | |
| ) | |
| def process( | |
| self, | |
| p: StableDiffusionProcessing, | |
| img, | |
| enable, | |
| source_faces_index, | |
| faces_index, | |
| model, | |
| face_restorer_name, | |
| face_restorer_visibility, | |
| restore_first, | |
| upscaler_name, | |
| upscaler_scale, | |
| upscaler_visibility, | |
| swap_in_source, | |
| swap_in_generated, | |
| ): | |
| self.source = img | |
| self.face_restorer_name = face_restorer_name | |
| self.upscaler_scale = upscaler_scale | |
| self.upscaler_visibility = upscaler_visibility | |
| self.face_restorer_visibility = face_restorer_visibility | |
| self.enable = enable | |
| self.restore_first = restore_first | |
| self.upscaler_name = upscaler_name | |
| self.swap_in_generated = swap_in_generated | |
| self.model = model | |
| self.source_faces_index = [ | |
| int(x) for x in source_faces_index.strip(",").split(",") if x.isnumeric() | |
| ] | |
| self.faces_index = [ | |
| int(x) for x in faces_index.strip(",").split(",") if x.isnumeric() | |
| ] | |
| if len(self.source_faces_index) == 0: | |
| self.source_faces_index = [0] | |
| if len(self.faces_index) == 0: | |
| self.faces_index = [0] | |
| if self.enable: | |
| if self.source is not None: | |
| if isinstance(p, StableDiffusionProcessingImg2Img) and swap_in_source: | |
| logger.info(f"Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index) | |
| for i in range(len(p.init_images)): | |
| logger.info(f"Swap in %s", i) | |
| result = swap_face( | |
| self.source, | |
| p.init_images[i], | |
| source_faces_index=self.source_faces_index, | |
| faces_index=self.faces_index, | |
| model=self.model, | |
| upscale_options=self.upscale_options, | |
| ) | |
| p.init_images[i] = result | |
| else: | |
| logger.error(f"Please provide a source face") | |
| def postprocess_batch(self, p, *args, **kwargs): | |
| if self.enable: | |
| images = kwargs["images"] | |
| def postprocess_image(self, p, script_pp: scripts.PostprocessImageArgs, *args): | |
| if self.enable and self.swap_in_generated: | |
| if self.source is not None: | |
| logger.info(f"Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index) | |
| image: Image.Image = script_pp.image | |
| result = swap_face( | |
| self.source, | |
| image, | |
| source_faces_index=self.source_faces_index, | |
| faces_index=self.faces_index, | |
| model=self.model, | |
| upscale_options=self.upscale_options, | |
| ) | |
| try: | |
| pp = scripts_postprocessing.PostprocessedImage(result) | |
| pp.info = {} | |
| p.extra_generation_params.update(pp.info) | |
| script_pp.image = pp.image | |
| except: | |
| logger.error(f"Cannot create a result image") | |