Image/mask conversion nodes

nodes.py

@@ -1059,6 +1059,43 @@ class ImagePadForOutpaint:
 
         return (new_image, mask)
 
+class ImageToMask:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "image": ("IMAGE",),
+                    "channel": (["red", "green", "blue"],),
+                }
+        }
+
+    CATEGORY = "image"
+
+    RETURN_TYPES = ("MASK",)
+    FUNCTION = "image_to_mask"
+
+    def image_to_mask(self, image, channel):
+        channels = ["red", "green", "blue"]
+        mask = torch.select(image[0], 2, channels.index(channel))
+        return (mask,)
+
+class MaskToImage:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+                "required": {
+                    "mask": ("MASK",),
+                }
+        }
+
+    CATEGORY = "image"
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "mask_to_image"
+
+    def mask_to_image(self, mask):
+        result = mask[None, :, :, None].expand(-1, -1, -1, 3)
+        return (result,)
 
 NODE_CLASS_MAPPINGS = {
     "KSampler": KSampler,
@@ -1102,6 +1139,8 @@ NODE_CLASS_MAPPINGS = {
     "unCLIPCheckpointLoader": unCLIPCheckpointLoader,
     "CheckpointLoader": CheckpointLoader,
     "DiffusersLoader": DiffusersLoader,
+    "ImageToMask": ImageToMask,
+    "MaskToImage": MaskToImage,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -1147,6 +1186,8 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "ImageUpscaleWithModel": "Upscale Image (using Model)",
     "ImageInvert": "Invert Image",
     "ImagePadForOutpaint": "Pad Image for Outpainting",
+    "ImageToMask": "Convert Image to Mask",
+    "MaskToImage": "Convert Mask to Image",
     # _for_testing
     "VAEDecodeTiled": "VAE Decode (Tiled)",
     "VAEEncodeTiled": "VAE Encode (Tiled)",