Node to load image from web URL (GET)

nodes.py

@@ -10,6 +10,7 @@ import traceback
 from PIL import Image
 from PIL.PngImagePlugin import PngInfo
 import numpy as np
+import requests
 
 sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
 
@@ -936,6 +937,36 @@ class LoadImageMask:
             m.update(f.read())
         return m.digest().hex()
 
+class LoadImageUrl:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "url": ("STRING", { "multiline": False, })
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    FUNCTION = "load_image"
+    CATEGORY = "image"
+
+    def load_image(self, url):
+        r = requests.get(url, stream=True)
+        r.raise_for_status()
+        i = Image.open(r.raw)
+        image = i.convert("RGB")
+        image = np.array(image).astype(np.float32) / 255.0
+        image = torch.from_numpy(image)[None,]
+        if 'A' in i.getbands():
+            mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+            mask = 1. - torch.from_numpy(mask)
+        else:
+            mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+        return (image, mask)
+
 class ImageScale:
     upscale_methods = ["nearest-exact", "bilinear", "area"]
     crop_methods = ["disabled", "center"]
@@ -1052,6 +1083,7 @@ NODE_CLASS_MAPPINGS = {
     "PreviewImage": PreviewImage,
     "LoadImage": LoadImage,
     "LoadImageMask": LoadImageMask,
+    "LoadImageUrl": LoadImageUrl,
     "ImageScale": ImageScale,
     "ImageInvert": ImageInvert,
     "ImagePadForOutpaint": ImagePadForOutpaint,