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 +1,64 @@
+import torch
+from PIL import Image
+from .imagefunc import log, tensor2pil, pil2tensor
+
+
+
+class ImageRemoveAlpha:
+
+    def __init__(self):
+        self.NODE_NAME = 'ImageRemoveAlpha'
+
+    @classmethod
+    def INPUT_TYPES(self):
+
+        return {
+            "required": {
+                "RGBA_image": ("IMAGE", ),  #
+                "fill_background": ("BOOLEAN", {"default": False}),
+                "background_color": ("STRING", {"default": "#000000"}),
+            },
+            "optional": {
+                "mask": ("MASK",),  #
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", )
+    RETURN_NAMES = ("RGB_image", )
+    FUNCTION = 'image_remove_alpha'
+    CATEGORY = '😺dzNodes/LayerUtility'
+
+    def image_remove_alpha(self, RGBA_image, fill_background, background_color, mask=None):
+
+        ret_images = []
+
+        for index, img in enumerate(RGBA_image):
+            _image = tensor2pil(img)
+
+            if fill_background:
+                if mask is not None:
+                    m = mask[index].unsqueeze(0) if index < len(mask) else mask[-1].unsqueeze(0)
+                    alpha = tensor2pil(m).convert('L')
+                elif _image.mode == "RGBA":
+                    alpha = _image.split()[-1]
+                else:
+                    log(f"Error: {self.NODE_NAME} skipped, because the input image is not RGBA and mask is None.",
+                        message_type='error')
+                    return (RGBA_image,)
+                ret_image = Image.new('RGB', size=_image.size, color=background_color)
+                ret_image.paste(_image, mask=alpha)
+                ret_images.append(pil2tensor(ret_image))
+
+            else:
+                ret_images.append(pil2tensor(tensor2pil(img).convert('RGB')))
+
+        log(f"{self.NODE_NAME} Processed {len(ret_images)} image(s).", message_type='finish')
+        return (torch.cat(ret_images, dim=0), )
+
+NODE_CLASS_MAPPINGS = {
+    "LayerUtility: ImageRemoveAlpha": ImageRemoveAlpha
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "LayerUtility: ImageRemoveAlpha": "LayerUtility: ImageRemoveAlpha"
+}