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 +1,63 @@
+import torch
+from PIL import Image
+from .imagefunc import log, tensor2pil, pil2tensor, gaussian_blur, chop_image
+from .imagefunc import gray_threshold, remove_background, get_image_bright_average
+
+
+
+class SoftLight:
+
+    def __init__(self):
+        self.NODE_NAME = 'SoftLight'
+
+    @classmethod
+    def INPUT_TYPES(self):
+
+        return {
+            "required": {
+                "image": ("IMAGE", ),  #
+                "soft": ("FLOAT", {"default": 1, "min": 0.2, "max": 10, "step": 0.01}),  # 模糊
+                "threshold": ("INT", {"default": -10, "min": -255, "max": 255, "step": 1}),  # 高光阈值
+                "opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}),  # 透明度
+            },
+            "optional": {
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = 'soft_light'
+    CATEGORY = '😺dzNodes/LayerFilter'
+
+    def soft_light(self, image, soft, threshold, opacity,):
+
+        ret_images = []
+
+        for i in image:
+            i = torch.unsqueeze(i, 0)
+            blend_mode = 'screen'
+            _canvas = tensor2pil(i).convert('RGB')
+            blur = int((_canvas.width + _canvas.height) / 200 * soft)
+            _otsumask = gray_threshold(_canvas, otsu=True)
+            _removebkgd = remove_background(_canvas, _otsumask, '#000000').convert('L')
+            auto_threshold = get_image_bright_average(_removebkgd)
+            light_mask = gray_threshold(_canvas, auto_threshold + threshold)
+            highlight_mask = gray_threshold(_canvas, auto_threshold + (255 - auto_threshold) // 2 + threshold // 2)
+            blurimage = gaussian_blur(_canvas, soft).convert('RGB')
+            light = chop_image(_canvas, blurimage, blend_mode=blend_mode, opacity=opacity)
+            highlight = chop_image(light, blurimage, blend_mode=blend_mode, opacity=opacity)
+            _canvas.paste(highlight, mask=gaussian_blur(light_mask, blur * 2).convert('L'))
+            _canvas.paste(highlight, mask=gaussian_blur(highlight_mask, blur).convert('L'))
+
+            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 = {
+    "LayerFilter: SoftLight": SoftLight
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "LayerFilter: SoftLight": "LayerFilter: SoftLight"
+}