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Add enable/disable switch to FaceRestoreCFWithModel node #3

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Add enable/disable switch to FaceRestoreCFWithModel node #3

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14 changes: 9 additions & 5 deletions __init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -110,10 +110,11 @@ def tensor2img(tensor, rgb2bgr=True, out_type=np.uint8, min_max=(0, 1)):
class FaceRestoreCFWithModel:
@classmethod
def INPUT_TYPES(s):
return {"required": { "facerestore_model": ("FACERESTORE_MODEL",),
return {"required": { "switch": ("BOOLEAN", { "default": False, "label_off": "OFF", "label_on": "ON"}),
"facerestore_model": ("FACERESTORE_MODEL",),
"image": ("IMAGE",),
"facedetection": (["retinaface_resnet50", "retinaface_mobile0.25", "YOLOv5l", "YOLOv5n"],),
"codeformer_fidelity": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1, "step": 0.05})
"restore_fidelity": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1, "step": 0.05})
}}

RETURN_TYPES = ("IMAGE",)
Expand All @@ -125,8 +126,11 @@ def INPUT_TYPES(s):
def __init__(self):
self.face_helper = None

def restore_face(self, facerestore_model, image, facedetection, codeformer_fidelity):
print(f'\tStarting restore_face with codeformer_fidelity: {codeformer_fidelity}')
def restore_face(self, switch, facerestore_model, image, facedetection, restore_fidelity):
if not switch:
return (image,)

print(f'\tStarting restore_face with fidelity: {restore_fidelity}')
device = model_management.get_torch_device()
facerestore_model.to(device)
if self.face_helper is None:
Expand Down Expand Up @@ -160,7 +164,7 @@ def restore_face(self, facerestore_model, image, facedetection, codeformer_fidel
with torch.no_grad():
#output = facerestore_model(cropped_face_t, w=strength, adain=True)[0]
# output = facerestore_model(cropped_face_t)[0]
output = facerestore_model(cropped_face_t, w=codeformer_fidelity)[0]
output = facerestore_model(cropped_face_t, w=restore_fidelity)[0]
restored_face = tensor2img(output, rgb2bgr=True, min_max=(-1, 1))
del output
torch.cuda.empty_cache()
Expand Down