File size: 1,866 Bytes
46ddfef |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
import os
from modules.processing import StableDiffusionProcessingImg2Img
from scripts.faceswap import FaceSwapScript, get_models
from utils import batch_tensor_to_pil, batched_pil_to_tensor, tensor_to_pil
from console_log_patch import apply_logging_patch
def model_names():
models = get_models()
return {os.path.basename(x): x for x in models}
class reactor:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"input_image": ("IMAGE",),
"reference_image": ("IMAGE",),
"swap_model": (list(model_names().keys()),),
"reference_faces_index": ("STRING", {"default": "0"}),
"input_faces_index": ("STRING", {"default": "0"}),
"console_log_level": ([0, 1, 2], {"default": 1}),
}
}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "image/postprocessing"
def execute(self, input_image, reference_image, swap_model, reference_faces_index, input_faces_index, console_log_level):
apply_logging_patch(console_log_level)
script = FaceSwapScript()
pil_images = batch_tensor_to_pil(input_image)
source = tensor_to_pil(reference_image)
p = StableDiffusionProcessingImg2Img(pil_images)
script.process(
p=p, img=source, enable=True, source_faces_index=reference_faces_index, faces_index=input_faces_index, model=swap_model, face_restorer_name='None', face_restorer_visibility=1, restore_first=True,upscaler_name=None, upscaler_scale=1, upscaler_visibility=1, swap_in_source=True, swap_in_generated=True
)
result = batched_pil_to_tensor(p.init_images)
return (result,)
NODE_CLASS_MAPPINGS = {
"ReActorFaceSwap": reactor,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"ReActorFaceSwap": "ReActor - Fast Face Swap",
} |