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 +1,94 @@
+import torch
+from PIL import Image
+from .imagefunc import log, tensor2pil, pil2tensor, image_rotate_extend_with_alpha, RGB2RGBA
+
+
+class LayerImageTransform:
+
+    def __init__(self):
+        self.NODE_NAME = 'LayerImageTransform'
+
+    @classmethod
+    def INPUT_TYPES(self):
+        mirror_mode = ['None', 'horizontal', 'vertical']
+        method_mode = ['lanczos', 'bicubic', 'hamming', 'bilinear', 'box', 'nearest']
+        return {
+            "required": {
+                "image": ("IMAGE",),  #
+                "x": ("INT", {"default": 0, "min": -99999, "max": 99999, "step": 1}),
+                "y": ("INT", {"default": 0, "min": -99999, "max": 99999, "step": 1}),
+                "mirror": (mirror_mode,),  # 镜像翻转
+                "scale": ("FLOAT", {"default": 1, "min": 0.01, "max": 100, "step": 0.01}),
+                "aspect_ratio": ("FLOAT", {"default": 1, "min": 0.01, "max": 100, "step": 0.01}),
+                "rotate": ("FLOAT", {"default": 0, "min": -999999, "max": 999999, "step": 0.01}),
+                "transform_method": (method_mode,),
+                "anti_aliasing": ("INT", {"default": 2, "min": 0, "max": 16, "step": 1}),
+            },
+            "optional": {
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = 'layer_image_transform'
+    CATEGORY = '😺dzNodes/LayerUtility'
+
+    def layer_image_transform(self, image, x, y, mirror, scale, aspect_ratio, rotate,
+                            transform_method, anti_aliasing,
+                  ):
+
+        l_images = []
+        l_masks = []
+        ret_images = []
+
+        for l in image:
+            l_images.append(torch.unsqueeze(l, 0))
+            m = tensor2pil(l)
+            if m.mode == 'RGBA':
+                l_masks.append(m.split()[-1])
+
+        for i in range(len(l_images)):
+            layer_image = l_images[i] if i < len(l_images) else l_images[-1]
+            _image = tensor2pil(layer_image).convert('RGB')
+            if i < len(l_masks):
+                _mask = l_masks[i]
+            else:
+                _mask = Image.new('L', size=_image.size, color='white')
+            _image_canvas = Image.new('RGB', size=_image.size, color='black')
+            _mask_canvas = Image.new('L', size=_mask.size, color='black')
+            orig_layer_width = _image.width
+            orig_layer_height = _image.height
+            target_layer_width = int(orig_layer_width * scale)
+            target_layer_height = int(orig_layer_height * scale * aspect_ratio)
+            # mirror
+            if mirror == 'horizontal':
+                _image = _image.transpose(Image.FLIP_LEFT_RIGHT)
+                _mask = _mask.transpose(Image.FLIP_LEFT_RIGHT)
+            elif mirror == 'vertical':
+                _image = _image.transpose(Image.FLIP_TOP_BOTTOM)
+                _mask = _mask.transpose(Image.FLIP_TOP_BOTTOM)
+            # scale
+            _image = _image.resize((target_layer_width, target_layer_height))
+            _mask = _mask.resize((target_layer_width, target_layer_height))
+            # rotate
+            _image, _mask, _ = image_rotate_extend_with_alpha(_image, rotate, _mask, transform_method, anti_aliasing)
+            # composit layer
+            paste_x = (orig_layer_width - _image.width) // 2 + x
+            paste_y = (orig_layer_height - _image.height) // 2 + y
+            _image_canvas.paste(_image, (paste_x, paste_y))
+            _mask_canvas.paste(_mask, (paste_x, paste_y))
+            if tensor2pil(layer_image).mode == 'RGBA':
+                _image_canvas = RGB2RGBA(_image_canvas, _mask_canvas)
+
+            ret_images.append(pil2tensor(_image_canvas))
+
+        log(f"{self.NODE_NAME} Processed {len(l_images)} image(s).", message_type='finish')
+        return (torch.cat(ret_images, dim=0),)
+
+NODE_CLASS_MAPPINGS = {
+    "LayerUtility: LayerImageTransform": LayerImageTransform
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "LayerUtility: LayerImageTransform": "LayerUtility: LayerImageTransform"
+}