Nodes Browser
ComfyDeploy: How CS Transform Node for ComfyUI works in ComfyUI?
What is CS Transform Node for ComfyUI?
The CS Transform node is a custom node for ComfyUI that applies a series of transformations to an input image and mask. The transformations include scaling, rotation, and translation, all centered around a specified pivot point. The node ensures that the transformed image is properly accommodated within a canvas, which can be expanded if needed.
How to install it in ComfyDeploy?
Head over to the machine page
- Click on the "Create a new machine" button
- Select the
Edit
build steps - Add a new step -> Custom Node
- Search for
CS Transform Node for ComfyUI
and select it - Close the build step dialig and then click on the "Save" button to rebuild the machine
CS Transform Node for ComfyUI
Overview
The CS Transform
node is a custom node for ComfyUI that applies a series of transformations to an input image and mask. The transformations include scaling, rotation, and translation, all centered around a specified pivot point. The node ensures that the transformed image is properly accommodated within a canvas, which can be expanded if needed.
Features
- Scaling: Adjust the size of the image by a specified factor.
- Rotation: Rotate the image around a specified pivot point.
- Translation: Move the image by specified x and y offsets.
- Pivot Point Visualization: Optionally display the pivot point as a red dot on the image.
- Canvas Expansion: Optionally expand the canvas to ensure the transformed image is not cut off.
Inputs
- image (optional): The input image to be transformed.
- mask (optional): The input mask to be transformed.
- canvas (optional): The canvas image to determine canvas dimensions.
- position_x (required): The x position for translation.
- position_y (required): The y position for translation.
- pivot_x (required): The x coordinate of the pivot point.
- pivot_y (required): The y coordinate of the pivot point.
- rotation (required): The rotation angle in degrees.
- scale (required): The scaling factor.
- canvas_width (required): The width of the canvas.
- canvas_height (required): The height of the canvas.
- expand_canvas (required): Whether to expand the canvas to fit the transformed image.
- show_pivot (required): Whether to show the pivot point on the image.
Outputs
- image: The transformed image.
- mask: The transformed mask.
Usage
-
Adding the Node: To add the
CS Transform
node to your ComfyUI pipeline, ensure you have placed thetransform_node.py
file in the appropriate directory within your ComfyUI installation. -
Configuring Inputs: Configure the inputs as required. You can provide an image, mask, and canvas. Specify the transformation parameters including position, pivot point, rotation, and scale.
-
Executing the Node: Execute the node to apply the transformations. The transformed image and mask will be produced as outputs.
-
Visualizing the Pivot Point: Enable the
show_pivot
option to display a red dot at the pivot point on the transformed image. This can help you verify the pivot point's position after transformations.