Reverse back drop shadow v2 and image blend advanced v2
This commit is contained in:
+9
-16
@@ -1,4 +1,3 @@
|
||||
from PIL import Image
|
||||
from .imagefunc import *
|
||||
|
||||
NODE_NAME = 'DropShadowV2'
|
||||
@@ -13,6 +12,7 @@ class DropShadowV2:
|
||||
|
||||
return {
|
||||
"required": {
|
||||
"background_image": ("IMAGE", ), #
|
||||
"layer_image": ("IMAGE",), #
|
||||
"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
|
||||
"blend_mode": (chop_mode_v2,), # 混合模式
|
||||
@@ -20,11 +20,10 @@ class DropShadowV2:
|
||||
"distance_x": ("INT", {"default": 25, "min": -9999, "max": 9999, "step": 1}), # x_偏移
|
||||
"distance_y": ("INT", {"default": 25, "min": -9999, "max": 9999, "step": 1}), # y_偏移
|
||||
"grow": ("INT", {"default": 6, "min": -9999, "max": 9999, "step": 1}), # 扩张
|
||||
"blur": ("INT", {"default": 18, "min": 0, "max": 1000, "step": 1}), # 模糊
|
||||
"blur": ("INT", {"default": 18, "min": 0, "max": 100, "step": 1}), # 模糊
|
||||
"shadow_color": ("STRING", {"default": "#000000"}), # 背景颜色
|
||||
},
|
||||
"optional": {
|
||||
"background_image": ("IMAGE", ), #
|
||||
"layer_mask": ("MASK",), #
|
||||
}
|
||||
}
|
||||
@@ -34,17 +33,11 @@ class DropShadowV2:
|
||||
FUNCTION = 'drop_shadow_v2'
|
||||
CATEGORY = '😺dzNodes/LayerStyle'
|
||||
|
||||
def drop_shadow_v2(self, layer_image, invert_mask, blend_mode, opacity,
|
||||
distance_x, distance_y, grow, blur, shadow_color,
|
||||
background_image=None, layer_mask=None
|
||||
):
|
||||
|
||||
# If background image is empty, create transparent background image for each layer image
|
||||
if background_image == None:
|
||||
background_image = []
|
||||
for l in layer_image:
|
||||
m = tensor2pil(l)
|
||||
background_image.append(pil2tensor(Image.new('RGBA', (m.width, m.height), (0, 0, 0, 0))))
|
||||
def drop_shadow_v2(self, background_image, layer_image,
|
||||
invert_mask, blend_mode, opacity, distance_x, distance_y,
|
||||
grow, blur, shadow_color,
|
||||
layer_mask=None
|
||||
):
|
||||
|
||||
b_images = []
|
||||
l_images = []
|
||||
@@ -72,7 +65,7 @@ class DropShadowV2:
|
||||
max_batch = max(len(b_images), len(l_images), len(l_masks))
|
||||
distance_x = -distance_x
|
||||
distance_y = -distance_y
|
||||
shadow_color = Image.new("RGBA", tensor2pil(l_images[0]).size, color=shadow_color)
|
||||
shadow_color = Image.new("RGB", tensor2pil(l_images[0]).size, color=shadow_color)
|
||||
|
||||
for i in range(max_batch):
|
||||
background_image = b_images[i] if i < len(b_images) else b_images[-1]
|
||||
@@ -80,7 +73,7 @@ class DropShadowV2:
|
||||
_mask = l_masks[i] if i < len(l_masks) else l_masks[-1]
|
||||
|
||||
# preprocess
|
||||
_canvas = tensor2pil(background_image).convert('RGBA')
|
||||
_canvas = tensor2pil(background_image).convert('RGB')
|
||||
_layer = tensor2pil(layer_image)
|
||||
|
||||
if _mask.size != _layer.size:
|
||||
|
||||
@@ -14,6 +14,7 @@ class ImageBlendAdvanceV2:
|
||||
method_mode = ['lanczos', 'bicubic', 'hamming', 'bilinear', 'box', 'nearest']
|
||||
return {
|
||||
"required": {
|
||||
"background_image": ("IMAGE", ), #
|
||||
"layer_image": ("IMAGE",), #
|
||||
"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
|
||||
"blend_mode": (chop_mode_v2,), # 混合模式
|
||||
@@ -28,7 +29,6 @@ class ImageBlendAdvanceV2:
|
||||
"anti_aliasing": ("INT", {"default": 0, "min": 0, "max": 16, "step": 1}),
|
||||
},
|
||||
"optional": {
|
||||
"background_image": ("IMAGE", ), #
|
||||
"layer_mask": ("MASK",), #
|
||||
}
|
||||
}
|
||||
@@ -38,18 +38,13 @@ class ImageBlendAdvanceV2:
|
||||
FUNCTION = 'image_blend_advance_v2'
|
||||
CATEGORY = '😺dzNodes/LayerUtility'
|
||||
|
||||
def image_blend_advance_v2(self, layer_image, invert_mask, blend_mode, opacity,
|
||||
x_percent, y_percent, mirror, scale, aspect_ratio, rotate,
|
||||
transform_method, anti_aliasing, background_image=None, layer_mask=None
|
||||
def image_blend_advance_v2(self, background_image, layer_image,
|
||||
invert_mask, blend_mode, opacity,
|
||||
x_percent, y_percent,
|
||||
mirror, scale, aspect_ratio, rotate,
|
||||
transform_method, anti_aliasing,
|
||||
layer_mask=None
|
||||
):
|
||||
|
||||
# If background image is empty, create transparent background image for each layer image
|
||||
if background_image == None:
|
||||
background_image = []
|
||||
for l in layer_image:
|
||||
m = tensor2pil(l)
|
||||
background_image.append(pil2tensor(Image.new('RGBA', (m.width, m.height), (0, 0, 0, 0))))
|
||||
|
||||
b_images = []
|
||||
l_images = []
|
||||
l_masks = []
|
||||
@@ -79,7 +74,7 @@ class ImageBlendAdvanceV2:
|
||||
layer_image = l_images[i] if i < len(l_images) else l_images[-1]
|
||||
_mask = l_masks[i] if i < len(l_masks) else l_masks[-1]
|
||||
# preprocess
|
||||
_canvas = tensor2pil(background_image).convert('RGBA')
|
||||
_canvas = tensor2pil(background_image).convert('RGB')
|
||||
_layer = tensor2pil(layer_image)
|
||||
|
||||
if _mask.size != _layer.size:
|
||||
@@ -88,7 +83,7 @@ class ImageBlendAdvanceV2:
|
||||
|
||||
orig_layer_width = _layer.width
|
||||
orig_layer_height = _layer.height
|
||||
_mask = _mask.convert("RGBA")
|
||||
_mask = _mask.convert("RGB")
|
||||
|
||||
target_layer_width = int(orig_layer_width * scale)
|
||||
target_layer_height = int(orig_layer_height * scale * aspect_ratio)
|
||||
@@ -113,7 +108,7 @@ class ImageBlendAdvanceV2:
|
||||
|
||||
# composit layer
|
||||
_comp = copy.copy(_canvas)
|
||||
_compmask = Image.new("RGBA", _comp.size, color='black')
|
||||
_compmask = Image.new("RGB", _comp.size, color='black')
|
||||
_comp.paste(_layer, (x, y))
|
||||
_compmask.paste(_mask, (x, y))
|
||||
_compmask = _compmask.convert('L')
|
||||
|
||||
Reference in New Issue
Block a user