from .imagefunc import * NODE_NAME = 'ChannelShake' class ChannelShake: def __init__(self): pass @classmethod 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" }