diff --git a/backend/src/nodes/properties/outputs/numpy_outputs.py b/backend/src/nodes/properties/outputs/numpy_outputs.py
index 0824f631d..4e65f5a2c 100644
--- a/backend/src/nodes/properties/outputs/numpy_outputs.py
+++ b/backend/src/nodes/properties/outputs/numpy_outputs.py
@@ -46,11 +46,13 @@ class ImageOutput(NumPyOutput):
     def __init__(
         self,
         label: str = "Image",
+        *,
         image_type: navi.ExpressionJson = "Image",
         kind: OutputKind = "generic",
         has_handle: bool = True,
         channels: int | None = None,
         shape_as: int | InputId | None = None,
+        size_as: int | InputId | None = None,
         assume_normalized: bool = False,
     ):
         # narrow down type
@@ -60,6 +62,10 @@ def __init__(
             )
         if shape_as is not None:
             image_type = navi.intersect_with_error(image_type, f"Input{shape_as}")
+        if size_as is not None:
+            image_type = navi.intersect_with_error(
+                image_type, navi.Image(size_as=f"Input{size_as}")
+            )
 
         super().__init__(image_type, label, kind=kind, has_handle=has_handle)
 
@@ -159,7 +165,7 @@ def __init__(
     ):
         super().__init__(
             label,
-            image_type,
+            image_type=image_type,
             kind=kind,
             has_handle=has_handle,
             assume_normalized=assume_normalized,
diff --git a/backend/src/packages/chaiNNer_onnx/onnx/processing/remove_background.py b/backend/src/packages/chaiNNer_onnx/onnx/processing/remove_background.py
index 6fae59751..f6be654f4 100644
--- a/backend/src/packages/chaiNNer_onnx/onnx/processing/remove_background.py
+++ b/backend/src/packages/chaiNNer_onnx/onnx/processing/remove_background.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 
-import navi
 from api import NodeContext
 from nodes.groups import Condition, if_group
 from nodes.impl.onnx.model import OnnxRemBg
@@ -51,7 +50,7 @@
             """,
             channels=4,
         ),
-        ImageOutput("Mask", image_type=navi.Image(size_as="Input0"), channels=1),
+        ImageOutput("Mask", size_as=0, channels=1),
     ],
     node_context=True,
 )
diff --git a/backend/src/packages/chaiNNer_standard/image_adjustment/adjustments/opacity.py b/backend/src/packages/chaiNNer_standard/image_adjustment/adjustments/opacity.py
index f3012751d..768ce95c0 100644
--- a/backend/src/packages/chaiNNer_standard/image_adjustment/adjustments/opacity.py
+++ b/backend/src/packages/chaiNNer_standard/image_adjustment/adjustments/opacity.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 
-import navi
 from api import KeyInfo
 from nodes.impl.pil_utils import convert_to_bgra
 from nodes.properties.inputs import ImageInput, SliderInput
@@ -22,11 +21,7 @@
         SliderInput("Opacity", max=100, default=100, precision=1, step=1, unit="%"),
     ],
     outputs=[
-        ImageOutput(
-            image_type=navi.Image(size_as="Input0"),
-            channels=4,
-            assume_normalized=True,
-        )
+        ImageOutput(size_as=0, channels=4, assume_normalized=True),
     ],
     key_info=KeyInfo.number(1),
 )
diff --git a/backend/src/packages/chaiNNer_standard/image_channel/all/merge_channels.py b/backend/src/packages/chaiNNer_standard/image_channel/all/merge_channels.py
index 4e143a10b..ce0dbe607 100644
--- a/backend/src/packages/chaiNNer_standard/image_channel/all/merge_channels.py
+++ b/backend/src/packages/chaiNNer_standard/image_channel/all/merge_channels.py
@@ -27,8 +27,8 @@
     ],
     outputs=[
         ImageOutput(
+            size_as=0,
             image_type=navi.Image(
-                size_as="Input0",
                 channels="""
                     match (
                         Input0.channels
@@ -41,7 +41,7 @@
                         int(4..) => 4
                     }
                     """,
-            )
+            ),
         )
     ],
     deprecated=True,
diff --git a/backend/src/packages/chaiNNer_standard/image_channel/all/separate_rgba.py b/backend/src/packages/chaiNNer_standard/image_channel/all/separate_rgba.py
index 60f8da6af..06353979b 100644
--- a/backend/src/packages/chaiNNer_standard/image_channel/all/separate_rgba.py
+++ b/backend/src/packages/chaiNNer_standard/image_channel/all/separate_rgba.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 
-import navi
 from nodes.properties.inputs import ImageInput
 from nodes.properties.outputs import ImageOutput
 from nodes.utils.utils import get_h_w_c
@@ -20,35 +19,17 @@
     icon="MdCallSplit",
     inputs=[ImageInput()],
     outputs=[
-        ImageOutput(
-            "R Channel",
-            image_type=navi.Image(size_as="Input0"),
-            channels=1,
-            assume_normalized=True,
-        )
+        ImageOutput("R Channel", size_as=0, channels=1, assume_normalized=True)
         .with_docs("The red channel.")
         .with_id(2),
-        ImageOutput(
-            "G Channel",
-            image_type=navi.Image(size_as="Input0"),
-            channels=1,
-            assume_normalized=True,
-        )
+        ImageOutput("G Channel", size_as=0, channels=1, assume_normalized=True)
         .with_docs("The green channel.")
         .with_id(1),
-        ImageOutput(
-            "B Channel",
-            image_type=navi.Image(size_as="Input0"),
-            channels=1,
-            assume_normalized=True,
-        )
+        ImageOutput("B Channel", size_as=0, channels=1, assume_normalized=True)
         .with_docs("The blue channel.")
         .with_id(0),
         ImageOutput(
-            "A Channel",
-            image_type=navi.Image(size_as="Input0"),
-            channels=1,
-            assume_normalized=True,
+            "A Channel", size_as=0, channels=1, assume_normalized=True
         ).with_docs("The alpha (transparency mask) channel."),
     ],
 )
diff --git a/backend/src/packages/chaiNNer_standard/image_channel/misc/chroma_key.py b/backend/src/packages/chaiNNer_standard/image_channel/misc/chroma_key.py
index 49e602b58..2bc625c0c 100644
--- a/backend/src/packages/chaiNNer_standard/image_channel/misc/chroma_key.py
+++ b/backend/src/packages/chaiNNer_standard/image_channel/misc/chroma_key.py
@@ -6,7 +6,6 @@
 import numpy as np
 import pymatting
 
-import navi
 from nodes.groups import if_enum_group, linked_inputs_group
 from nodes.impl.color.color import Color
 from nodes.properties.inputs import (
@@ -62,10 +61,7 @@ class KeyMethod(Enum):
         ),
     ],
     outputs=[
-        ImageOutput(
-            image_type=navi.Image(size_as="Input0"),
-            channels=4,
-        ),
+        ImageOutput(size_as=0, channels=4),
     ],
 )
 def chroma_key_node(
diff --git a/backend/src/packages/chaiNNer_standard/image_channel/misc/fill_alpha.py b/backend/src/packages/chaiNNer_standard/image_channel/misc/fill_alpha.py
index bc5fd66ac..68f49a014 100644
--- a/backend/src/packages/chaiNNer_standard/image_channel/misc/fill_alpha.py
+++ b/backend/src/packages/chaiNNer_standard/image_channel/misc/fill_alpha.py
@@ -9,7 +9,6 @@
     fill_alpha_nearest_color,
 )
 
-import navi
 from nodes.properties.inputs import EnumInput, ImageInput
 from nodes.properties.outputs import ImageOutput
 
@@ -32,16 +31,8 @@ class AlphaFillMethod(Enum):
         EnumInput(AlphaFillMethod, label="Fill Method"),
     ],
     outputs=[
-        ImageOutput(
-            "RGB",
-            image_type=navi.Image(size_as="Input0"),
-            channels=3,
-        ),
-        ImageOutput(
-            "Alpha",
-            image_type=navi.Image(size_as="Input0"),
-            channels=1,
-        ),
+        ImageOutput("RGB", size_as=0, channels=3),
+        ImageOutput("Alpha", size_as=0, channels=1),
     ],
 )
 def fill_alpha_node(
diff --git a/backend/src/packages/chaiNNer_standard/image_channel/transparency/split_transparency.py b/backend/src/packages/chaiNNer_standard/image_channel/transparency/split_transparency.py
index d269ffa3d..29353e705 100644
--- a/backend/src/packages/chaiNNer_standard/image_channel/transparency/split_transparency.py
+++ b/backend/src/packages/chaiNNer_standard/image_channel/transparency/split_transparency.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 
-import navi
 from nodes.impl.image_utils import as_target_channels
 from nodes.properties.inputs import ImageInput
 from nodes.properties.outputs import ImageOutput
@@ -18,18 +17,8 @@
     icon="MdCallSplit",
     inputs=[ImageInput(channels=[1, 3, 4])],
     outputs=[
-        ImageOutput(
-            "RGB",
-            image_type=navi.Image(size_as="Input0"),
-            channels=3,
-            assume_normalized=True,
-        ),
-        ImageOutput(
-            "Alpha",
-            image_type=navi.Image(size_as="Input0"),
-            channels=1,
-            assume_normalized=True,
-        ),
+        ImageOutput("RGB", size_as=0, channels=3, assume_normalized=True),
+        ImageOutput("Alpha", size_as=0, channels=1, assume_normalized=True),
     ],
 )
 def split_transparency_node(img: np.ndarray) -> tuple[np.ndarray, np.ndarray]:
diff --git a/backend/src/packages/chaiNNer_standard/image_filter/miscellaneous/canny_edge_detection.py b/backend/src/packages/chaiNNer_standard/image_filter/miscellaneous/canny_edge_detection.py
index bd049dfa8..83ff26e05 100644
--- a/backend/src/packages/chaiNNer_standard/image_filter/miscellaneous/canny_edge_detection.py
+++ b/backend/src/packages/chaiNNer_standard/image_filter/miscellaneous/canny_edge_detection.py
@@ -3,7 +3,6 @@
 import cv2
 import numpy as np
 
-import navi
 from nodes.impl.image_utils import to_uint8
 from nodes.properties.inputs import ImageInput, NumberInput
 from nodes.properties.outputs import ImageOutput
@@ -23,7 +22,7 @@
         NumberInput("Lower Threshold", min=0, default=100),
         NumberInput("Upper Threshold", min=0, default=300),
     ],
-    outputs=[ImageOutput(image_type=navi.Image(size_as="Input0"), channels=1)],
+    outputs=[ImageOutput(size_as=0, channels=1)],
 )
 def canny_edge_detection_node(
     img: np.ndarray,
diff --git a/backend/src/packages/chaiNNer_standard/image_utility/miscellaneous/change_color_model.py b/backend/src/packages/chaiNNer_standard/image_utility/miscellaneous/change_color_model.py
index b944330da..ed759b3a2 100644
--- a/backend/src/packages/chaiNNer_standard/image_utility/miscellaneous/change_color_model.py
+++ b/backend/src/packages/chaiNNer_standard/image_utility/miscellaneous/change_color_model.py
@@ -45,8 +45,8 @@
     ],
     outputs=[
         ImageOutput(
+            size_as=0,
             image_type=navi.Image(
-                size_as="Input0",
                 channels="""
                     if Input2.supportsAlpha and Input3 {
                         4
diff --git a/backend/src/packages/chaiNNer_standard/material_textures/conversion/metal_to_specular.py b/backend/src/packages/chaiNNer_standard/material_textures/conversion/metal_to_specular.py
index cb6d16977..5ea0699bb 100644
--- a/backend/src/packages/chaiNNer_standard/material_textures/conversion/metal_to_specular.py
+++ b/backend/src/packages/chaiNNer_standard/material_textures/conversion/metal_to_specular.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 
-import navi
 from nodes.impl.resize import ResizeFilter, resize
 from nodes.properties.inputs import ImageInput
 from nodes.properties.outputs import ImageOutput
@@ -63,11 +62,7 @@ def metal_to_spec(
     ],
     outputs=[
         ImageOutput("Diffuse", shape_as=0),
-        ImageOutput(
-            "Specular",
-            image_type=navi.Image(size_as="Input1"),
-            channels=3,
-        ),
+        ImageOutput("Specular", size_as=1, channels=3),
         ImageOutput(
             "Gloss",
             image_type="""
diff --git a/backend/src/packages/chaiNNer_standard/material_textures/conversion/specular_to_metal.py b/backend/src/packages/chaiNNer_standard/material_textures/conversion/specular_to_metal.py
index 047e9e3ac..569d2f319 100644
--- a/backend/src/packages/chaiNNer_standard/material_textures/conversion/specular_to_metal.py
+++ b/backend/src/packages/chaiNNer_standard/material_textures/conversion/specular_to_metal.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 
-import navi
 from nodes.impl.resize import ResizeFilter, resize
 from nodes.properties.inputs import ImageInput, SliderInput
 from nodes.properties.outputs import ImageOutput
@@ -89,11 +88,7 @@ def spec_to_metal(
     ],
     outputs=[
         ImageOutput("Albedo", shape_as=0),
-        ImageOutput(
-            "Metal",
-            image_type=navi.Image(size_as="Input1"),
-            channels=1,
-        ),
+        ImageOutput("Metal", size_as=1, channels=1),
         ImageOutput(
             "Roughness",
             image_type="""
diff --git a/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normal_map_generator.py b/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normal_map_generator.py
index 7e056fded..5cceb0298 100644
--- a/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normal_map_generator.py
+++ b/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normal_map_generator.py
@@ -240,8 +240,8 @@ def normalize(x: np.ndarray, y: np.ndarray):
     outputs=[
         ImageOutput(
             "Normal Map",
+            size_as=0,
             image_type=navi.Image(
-                size_as="Input0",
                 channels="match Input7 { AlphaOutput::None => 3, _ => 4 }",
             ),
         ),
diff --git a/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normalize_normals.py b/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normalize_normals.py
index d23441b61..95664df47 100644
--- a/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normalize_normals.py
+++ b/backend/src/packages/chaiNNer_standard/material_textures/normal_map/normalize_normals.py
@@ -4,7 +4,6 @@
 
 import numpy as np
 
-import navi
 from nodes.impl.normals.util import gr_to_xyz, xyz_to_bgr
 from nodes.properties.inputs import EnumInput, ImageInput
 from nodes.properties.outputs import ImageOutput
@@ -42,11 +41,7 @@ class BChannel(Enum):
         ),
     ],
     outputs=[
-        ImageOutput(
-            "Normal Map",
-            image_type=navi.Image(size_as="Input0"),
-            channels=3,
-        ),
+        ImageOutput("Normal Map", size_as=0, channels=3),
     ],
 )
 def normalize_normals_node(img: np.ndarray, b: BChannel) -> np.ndarray:
diff --git a/backend/src/packages/chaiNNer_standard/material_textures/normal_map/scale_normals.py b/backend/src/packages/chaiNNer_standard/material_textures/normal_map/scale_normals.py
index c39d9e18c..5be4c58f2 100644
--- a/backend/src/packages/chaiNNer_standard/material_textures/normal_map/scale_normals.py
+++ b/backend/src/packages/chaiNNer_standard/material_textures/normal_map/scale_normals.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 
-import navi
 from nodes.impl.normals.addition import AdditionMethod, strengthen_normals
 from nodes.impl.normals.util import xyz_to_bgr
 from nodes.properties.inputs import EnumInput, ImageInput, SliderInput
@@ -29,11 +28,7 @@
         ),
     ],
     outputs=[
-        ImageOutput(
-            "Normal Map",
-            image_type=navi.Image(size_as="Input0"),
-            channels=3,
-        ),
+        ImageOutput("Normal Map", size_as=0, channels=3),
     ],
 )
 def scale_normals_node(
diff --git a/docs/nodes.md b/docs/nodes.md
index cc0ae72ec..31a860da1 100644
--- a/docs/nodes.md
+++ b/docs/nodes.md
@@ -213,7 +213,7 @@ Let's take a look at the inputs and outputs of the Create Border node. This node
 
 ### Documentation
 
-Inputs and outputs both allow optional documentation to be added to add more information about it to the Node Documentation modal. You can add documentation to an input or output using the `.with_docs()` method, like so: 
+Inputs and outputs both allow optional documentation to be added to add more information about it to the Node Documentation modal. You can add documentation to an input or output using the `.with_docs()` method, like so:
 
 ```python
     inputs=[
@@ -303,10 +303,7 @@ from .. import adjustments_group
         ),
     ],
     outputs=[
-        ImageOutput(
-            image_type=navi.Image(size_as="Input0"),
-            channels=4,
-        )
+        ImageOutput(size_as=0, channels=4)
     ],
 )
 def opacity_node(img: np.ndarray, opacity: float) -> np.ndarray: