ComfyUI > Nodes > Jovimetrix Composition Nodes > PIXEL MERGE (JOV) πŸ«‚

ComfyUI Node: PIXEL MERGE (JOV) πŸ«‚

Class Name

PIXEL MERGE (JOV) πŸ«‚

Category
JOVIMETRIX πŸ”ΊπŸŸ©πŸ”΅/COMPOSE
Author
amorano (Account age: 5221days)
Extension
Jovimetrix Composition Nodes
Latest Updated
2024-07-03
Github Stars
0.17K

How to Install Jovimetrix Composition Nodes

Install this extension via the ComfyUI Manager by searching for Jovimetrix Composition Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Jovimetrix Composition Nodes in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

PIXEL MERGE (JOV) πŸ«‚ Description

Merge multiple images seamlessly with scaling, flipping, and gradients for complex compositions in ComfyUI Node PIXEL MERGE (JOV) πŸ«‚.

PIXEL MERGE (JOV) πŸ«‚:

The PIXEL MERGE (JOV) πŸ«‚ node is designed to combine multiple images into a single cohesive output by merging their pixel data. This node is particularly useful for creating complex compositions where different images need to be blended together seamlessly. It supports various operations such as scaling, flipping, and applying gradients to the images before merging them. The node ensures that the final output maintains the desired visual characteristics by allowing you to specify parameters like interpolation methods, scaling modes, and matte colors. This makes it an essential tool for AI artists looking to create intricate and visually appealing compositions.

PIXEL MERGE (JOV) πŸ«‚ Input Parameters:

PIXEL

This parameter accepts an image input that will be used as the base for the merging process. If no image is provided, a default solid channel image is used. This parameter is crucial as it forms the foundation upon which other images and effects are applied.

GRADIENT

This parameter allows you to specify a gradient image that will be applied to the base image. If no gradient is provided, a default solid channel gradient is used. The gradient helps in creating smooth transitions and blending effects in the final composition.

FLIP

This boolean parameter determines whether the image should be flipped. The default value is False. Flipping an image can be useful for creating mirror effects or adjusting the orientation of the image to fit the desired composition.

MODE

This parameter specifies the scaling mode to be used when resizing the image. The default value is NONE, meaning no scaling is applied. Other options include various scaling modes that can adjust the image dimensions while maintaining aspect ratios or fitting within specified dimensions.

WH

This parameter defines the width and height to which the image should be scaled. The default value is (512, 512). This is particularly useful when you need the final image to fit specific dimensions for consistency in your compositions.

SAMPLE

This parameter specifies the interpolation method to be used when scaling the image. The default value is LANCZOS4, which is known for its high-quality results. Other interpolation methods can be chosen based on the desired quality and performance.

MATTE

This parameter allows you to specify a matte color in the form of a vector of four integers (RGBA). The default value is (0, 0, 0, 255), which represents a fully opaque black color. The matte color is used to fill any transparent areas in the final merged image.

PIXEL MERGE (JOV) πŸ«‚ Output Parameters:

Merged Image

The output is a single tensor that contains the merged image data. This tensor combines all the input images and applied effects into one cohesive image. The merged image retains the visual characteristics specified by the input parameters, making it ready for further processing or final use.

PIXEL MERGE (JOV) πŸ«‚ Usage Tips:

  • Use high-quality gradient images to achieve smooth and visually appealing transitions in your merged compositions.
  • Experiment with different scaling modes and interpolation methods to find the best balance between performance and image quality.
  • Utilize the matte parameter to handle transparency effectively, especially when merging images with varying levels of opacity.

PIXEL MERGE (JOV) πŸ«‚ Common Errors and Solutions:

"Invalid image input"

  • Explanation: This error occurs when the provided image input is not in a valid format or is corrupted.
  • Solution: Ensure that the image input is a valid image file and is not corrupted. Convert the image to a compatible format if necessary.

"Unsupported scaling mode"

  • Explanation: This error occurs when an unsupported scaling mode is specified in the MODE parameter.
  • Solution: Check the available scaling modes and ensure that the specified mode is supported. Use the default NONE mode if unsure.

"Interpolation method not recognized"

  • Explanation: This error occurs when an unrecognized interpolation method is specified in the SAMPLE parameter.
  • Solution: Verify the available interpolation methods and ensure that the specified method is correct. Use the default LANCZOS4 method if unsure.

"Matte color out of range"

  • Explanation: This error occurs when the specified matte color values are out of the acceptable range (0-255).
  • Solution: Ensure that the matte color values are within the range of 0 to 255 for each component (RGBA). Adjust the values accordingly.

PIXEL MERGE (JOV) πŸ«‚ Related Nodes

Go back to the extension to check out more related nodes.
Jovimetrix Composition Nodes
RunComfy

Β© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.