Spaces:
Runtime error
Runtime error
from .imagefunc import * | |
NODE_NAME = 'ChannelShake' | |
class ChannelShake: | |
def __init__(self): | |
pass | |
def INPUT_TYPES(self): | |
channel_mode = ['RGB', 'RBG', 'BGR', 'BRG', 'GBR', 'GRB'] | |
return { | |
"required": { | |
"image": ("IMAGE", ), # | |
"distance": ("INT", {"default": 20, "min": 1, "max": 999, "step": 1}), # 距离 | |
"angle": ("FLOAT", {"default": 40, "min": -360, "max": 360, "step": 0.1}), # 角度 | |
"mode": (channel_mode,), # 模式 | |
}, | |
"optional": { | |
} | |
} | |
RETURN_TYPES = ("IMAGE",) | |
RETURN_NAMES = ("image",) | |
FUNCTION = 'channel_shake' | |
CATEGORY = '😺dzNodes/LayerFilter' | |
def channel_shake(self, image, distance, angle, mode, ): | |
ret_images = [] | |
for i in image: | |
i = torch.unsqueeze(i, 0) | |
_canvas = tensor2pil(i).convert('RGB') | |
R, G, B = _canvas.split() | |
x = int(math.cos(angle) * distance) | |
y = int(math.sin(angle) * distance) | |
if mode.startswith('R'): | |
R = shift_image(R.convert('RGB'), -x, -y).convert('L') | |
if mode.startswith('G'): | |
G = shift_image(G.convert('RGB'), -x, -y).convert('L') | |
if mode.startswith('B'): | |
B = shift_image(B.convert('RGB'), -x, -y).convert('L') | |
if mode.endswith('R'): | |
R = shift_image(R.convert('RGB'), x, y).convert('L') | |
if mode.endswith('G'): | |
G = shift_image(G.convert('RGB'), x, y).convert('L') | |
if mode.endswith('B'): | |
B = shift_image(B.convert('RGB'), x, y).convert('L') | |
ret_image = Image.merge('RGB', [R, G, B]) | |
ret_images.append(pil2tensor(ret_image)) | |
log(f"{NODE_NAME} Processed {len(ret_images)} image(s).", message_type='finish') | |
return (torch.cat(ret_images, dim=0),) | |
NODE_CLASS_MAPPINGS = { | |
"LayerFilter: ChannelShake": ChannelShake | |
} | |
NODE_DISPLAY_NAME_MAPPINGS = { | |
"LayerFilter: ChannelShake": "LayerFilter: ChannelShake" | |
} |