|
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", |
|
} |
