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 +1,50 @@
+import torch
+import time
+from .imagefunc import log, tensor2pil, image_add_grain, pil2tensor
+
+
+
+class AddGrain:
+
+    def __init__(self):
+        self.NODE_NAME = 'AddGrain'
+
+
+    @classmethod
+    def INPUT_TYPES(self):
+
+        return {
+            "required": {
+                "image": ("IMAGE", ),  #
+                "grain_power": ("FLOAT", {"default": 0.5, "min": 0, "max": 1, "step": 0.01}),
+                "grain_scale": ("FLOAT", {"default": 1, "min": 0.1, "max": 10, "step": 0.1}),
+                "grain_sat": ("FLOAT", {"default": 1, "min": 0, "max": 1, "step": 0.01}),
+            },
+            "optional": {
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image",)
+    FUNCTION = 'add_grain'
+    CATEGORY = '😺dzNodes/LayerFilter'
+
+    def add_grain(self, image, grain_power, grain_scale, grain_sat):
+
+        ret_images = []
+
+        for i in range(len(image)):
+            _canvas = tensor2pil(torch.unsqueeze(image[i], 0)).convert('RGB')
+            _canvas = image_add_grain(_canvas, grain_scale, grain_power, grain_sat, toe=0, seed=int(time.time()) + i)
+            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: AddGrain": AddGrain
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "LayerFilter: AddGrain": "LayerFilter: Add Grain"
+}