add reference code

2025-06-23 20:42:49 +08:00
parent 1c44578d9a
commit ca2c13e0ef
131 changed files with 18966 additions and 0 deletions
@@ -0,0 +1,106 @@
+import torch
+from PIL import Image
+from .imagefunc import log, tensor2pil, pil2tensor, image2mask, step_color,step_value, expand_mask, chop_image, chop_mode
+
+
+class OuterGlow:
+
+    def __init__(self):
+        self.NODE_NAME = 'OuterGlow'
+
+    @classmethod
+    def INPUT_TYPES(self):
+        chop_mode = ['screen', 'add', 'lighter', 'normal', 'multply', 'subtract', 'difference', 'darker',
+                     'color_burn', 'color_dodge', 'linear_burn', 'linear_dodge', 'overlay',
+                     'soft_light', 'hard_light', 'vivid_light', 'pin_light', 'linear_light', 'hard_mix']
+        return {
+            "required": {
+                "background_image": ("IMAGE", ),  #
+                "layer_image": ("IMAGE",),  #
+                "invert_mask": ("BOOLEAN", {"default": True}),  # 反转mask
+                "blend_mode": (chop_mode,),  # 混合模式
+                "opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}),  # 透明度
+                "brightness": ("INT", {"default": 5, "min": 2, "max": 20, "step": 1}),  # 迭代
+                "glow_range": ("INT", {"default": 48, "min": -9999, "max": 9999, "step": 1}),  # 扩张
+                "blur": ("INT", {"default": 25, "min": 0, "max": 9999, "step": 1}),  # 扩张
+                "light_color": ("STRING", {"default": "#FFBF30"}),  # 光源中心颜色
+                "glow_color": ("STRING", {"default": "#FE0000"}),  # 辉光外围颜色
+            },
+            "optional": {
+                "layer_mask": ("MASK",),  #
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = 'outer_glow'
+    CATEGORY = '😺dzNodes/LayerStyle'
+
+    def outer_glow(self, background_image, layer_image,
+                  invert_mask, blend_mode, opacity,
+                  brightness, glow_range, blur, light_color, glow_color,
+                  layer_mask=None
+                  ):
+
+        b_images = []
+        l_images = []
+        l_masks = []
+        ret_images = []
+
+        for b in background_image:
+            b_images.append(torch.unsqueeze(b, 0))
+        for l in layer_image:
+            l_images.append(torch.unsqueeze(l, 0))
+            m = tensor2pil(l)
+            if m.mode == 'RGBA':
+                l_masks.append(m.split()[-1])
+        if layer_mask is not None:
+            if layer_mask.dim() == 2:
+                layer_mask = torch.unsqueeze(layer_mask, 0)
+            l_masks = []
+            for m in layer_mask:
+                if invert_mask:
+                    m = 1 - m
+                l_masks.append(tensor2pil(torch.unsqueeze(m, 0)).convert('L'))
+        if len(l_masks) == 0:
+            log(f"Error: {self.NODE_NAME} skipped, because the available mask is not found.", message_type='error')
+            return (background_image,)
+        max_batch = max(len(b_images), len(l_images), len(l_masks))
+        blur_factor = blur / 20.0
+        for i in range(max_batch):
+            background_image = b_images[i] if i < len(b_images) else b_images[-1]
+            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('RGB')
+            _layer = tensor2pil(layer_image).convert('RGB')
+            if _mask.size != _layer.size:
+                _mask = Image.new('L', _layer.size, 'white')
+                log(f"Warning: {self.NODE_NAME} mask mismatch, dropped!", message_type='warning')
+            grow = glow_range
+            for x in range(brightness):
+                blur = int(grow * blur_factor)
+                _color = step_color(glow_color, light_color, brightness, x)
+                glow_mask = expand_mask(image2mask(_mask), grow, blur)  #扩张，模糊
+                # 合成glow
+                color_image = Image.new("RGB", _layer.size, color=_color)
+                alpha = tensor2pil(glow_mask).convert('L')
+                _glow = chop_image(_canvas, color_image, blend_mode, int(step_value(1, opacity, brightness, x)))
+                _canvas.paste(_glow.convert('RGB'), mask=alpha)
+                grow = grow - int(glow_range/brightness)
+            # 合成layer
+            _canvas.paste(_layer, mask=_mask)
+
+            ret_images.append(pil2tensor(_canvas))
+
+        log(f"{self.NODE_NAME} Processed {len(ret_images)} image(s).", message_type='finish')
+        return (torch.cat(ret_images, dim=0),)
+
+
+NODE_CLASS_MAPPINGS = {
+    "LayerStyle: OuterGlow": OuterGlow
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "LayerStyle: OuterGlow": "LayerStyle: OuterGlow"
+}