diff --git a/README.md b/README.md
index b305b8a..117410b 100644
--- a/README.md
+++ b/README.md
@@ -11,6 +11,7 @@
 
 ### Install
 
+https://github.com/LEv145/images-grid-comfy-plugin/archive/refs/heads/main.zip
 ```
 cd custom_nodes  # From comfy path
 git clone https://github.com/LEv145/images-grid-comfy-plugin ImagesGrid
diff --git a/src/base.py b/src/base.py
index 54e149a..9eec7d7 100644
--- a/src/base.py
+++ b/src/base.py
@@ -4,8 +4,6 @@ from pathlib import Path
 
 STATIC_PATH = Path(__file__).parent.parent / "static"
 
-Image = t.Any
-
 
 class BaseNode():
     CATEGORY: str = "ImagesGrid"
diff --git a/src/nodes/image_combine.py b/src/nodes/image_combine.py
index f7a9d46..a4c372f 100644
--- a/src/nodes/image_combine.py
+++ b/src/nodes/image_combine.py
@@ -2,7 +2,7 @@ import typing as t
 
 import torch
 
-from ..base import BaseNode, Image
+from ..base import BaseNode
 
 
 class ImageCombineNode(BaseNode):
@@ -19,9 +19,9 @@ class ImageCombineNode(BaseNode):
 
     def execute(
         self,
-        image_1: Image,
-        image_2: Image,
-    ) -> tuple[Image]:
+        image_1: torch.Tensor,
+        image_2: torch.Tensor,
+    ) -> tuple[torch.Tensor]:
         result = torch.cat((image_1, image_2), 0)
 
         return (result,)
diff --git a/src/nodes/images_grid.py b/src/nodes/images_grid.py
index 40783c6..8081412 100644
--- a/src/nodes/images_grid.py
+++ b/src/nodes/images_grid.py
@@ -1,6 +1,8 @@
 import typing as t
 
-from ..base import BaseNode, Image
+import torch
+
+from ..base import BaseNode
 from ..utils import (
     tensor_to_pillow,
     pillow_to_tensor,
@@ -9,7 +11,6 @@ from ..utils import (
     Annotation,
 )
 
-
 class BaseImagesGridNode(BaseNode):
     RETURN_TYPES: tuple[str] = ("IMAGE",)
 
@@ -30,11 +31,11 @@ class BaseImagesGridNode(BaseNode):
         self,
         function: t.Callable,
         \
-        images: Image,
+        images: torch.Tensor,
         gap: int,
         annotation: Annotation | None = None,
         **kw,
-    ) -> tuple[Image]:
+    ) -> tuple[torch.Tensor]:
         pillow_images = [tensor_to_pillow(i) for i in images]
         pillow_grid = function(
             images=pillow_images,
@@ -52,7 +53,7 @@ class ImagesGridByColumnsNode(BaseImagesGridNode):
     def INPUT_TYPES(cls) -> dict[str, t.Any]:
         return cls._create_input_types("max_columns")
 
-    def execute(self, **kw) -> tuple[Image]:
+    def execute(self, **kw) -> tuple[torch.Tensor]:
         return self._create_execute(create_images_grid_by_columns, **kw)
 
 
@@ -61,5 +62,5 @@ class ImagesGridByRowsNode(BaseImagesGridNode):
     def INPUT_TYPES(cls) -> dict[str, t.Any]:
         return cls._create_input_types("max_rows")
 
-    def execute(self, **kw) -> tuple[Image]:
+    def execute(self, **kw) -> tuple[torch.Tensor]:
         return self._create_execute(create_images_grid_by_rows, **kw)
diff --git a/src/nodes/latent_combine.py b/src/nodes/latent_combine.py
index 69bb399..6aadc40 100644
--- a/src/nodes/latent_combine.py
+++ b/src/nodes/latent_combine.py
@@ -2,7 +2,7 @@ import typing as t
 
 import torch
 
-from ..base import BaseNode, Image
+from ..base import BaseNode
 
 
 class LatentCombineNode(BaseNode):
@@ -19,9 +19,9 @@ class LatentCombineNode(BaseNode):
 
     def execute(
         self,
-        latent_1: dict[str, t.Any],
-        latent_2: dict[str, t.Any],
-    ) -> tuple[dict[str, t.Any]]:
+        latent_1: dict[str, torch.Tensor],
+        latent_2: dict[str, torch.Tensor],
+    ) -> tuple[dict[str, torch.Tensor]]:
         samples = torch.cat((latent_1["samples"], latent_2["samples"]), 0)
 
         return ({"samples": samples},)