ComfyUI  >  Nodes  >  Jovimetrix Composition Nodes >  ADJUST (JOV) 🕸️

ComfyUI Node: ADJUST (JOV) 🕸️

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Jovimetrix Composition Nodes
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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.

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ADJUST (JOV) 🕸️ Description

Enhance images with versatile effects like blurring, sharpening, and color tweaks using the Adjust Node.


Enhance and modify images with various effects using the Adjust Node. This versatile node allows you to apply a range of effects such as blurring, sharpening, color tweaks, and edge detection. You can customize parameters like radius, value, and contrast, and use masks for selective effects. Advanced options include pixelation, quantization, and morphological operations like dilation and erosion. The node also handles transparency effortlessly to ensure seamless blending of effects. Whether you need simple adjustments or complex image transformations, the Adjust Node provides a comprehensive set of tools to achieve your desired results.

ADJUST (JOV) 🕸️ Input Parameters:


The radius parameter controls the extent of the effect applied to the image. For example, in blurring or sharpening, a larger radius will affect a broader area, while a smaller radius will target a more confined region. This parameter allows you to fine-tune the intensity and spread of the effect to achieve the desired visual outcome. The minimum value is 0, and the maximum value is typically determined by the image size, with a default value that balances performance and quality.


The value parameter adjusts the intensity of the effect. For instance, in color tweaks, this could mean the degree of color change, while in edge detection, it could control the sensitivity to edges. This parameter is crucial for achieving the right level of enhancement or modification. The minimum value is usually 0, and the maximum value depends on the specific effect being applied, with a default value set to provide a noticeable but not overwhelming change.


The contrast parameter modifies the difference between the light and dark areas of the image. Increasing contrast makes the image appear more vivid, while decreasing it results in a flatter look. This parameter is essential for adjusting the overall tone and mood of the image. The minimum value is 0, the maximum value is 100, and the default value is set to maintain the original contrast of the image.


The mask parameter allows you to apply effects selectively to certain parts of the image. By providing a mask, you can protect specific areas from being affected or target only particular regions for enhancement. This parameter is useful for complex image editing tasks where precision is required. The mask is typically a grayscale image where white areas represent the regions to be affected, and black areas are protected.


The pixelation parameter controls the level of pixelation applied to the image, creating a mosaic-like effect. This can be used for artistic purposes or to obscure details. The minimum value is 1 (no pixelation), and the maximum value depends on the image resolution, with a default value that provides a moderate pixelation effect.


The quantization parameter reduces the number of colors in the image, creating a posterized effect. This can be used to simplify the image or create a stylized look. The minimum value is 2 (binary colors), and the maximum value is typically 256 (full color range), with a default value that balances detail and stylization.


The dilation parameter controls the morphological operation that expands the white regions in a binary image. This is useful for enhancing features or filling small holes. The minimum value is 1, and the maximum value depends on the image size, with a default value that provides noticeable dilation without excessive distortion.


The erosion parameter controls the morphological operation that shrinks the white regions in a binary image. This is useful for removing noise or separating connected objects. The minimum value is 1, and the maximum value depends on the image size, with a default value that provides effective erosion without excessive loss of detail.

ADJUST (JOV) 🕸️ Output Parameters:


The adjusted_image parameter is the final output of the node, representing the image after all the specified effects and adjustments have been applied. This output is crucial as it reflects the cumulative impact of all the input parameters and provides the enhanced or modified image ready for further processing or final use.

ADJUST (JOV) 🕸️ Usage Tips:

  • Experiment with different radius and value settings to find the perfect balance for your specific image enhancement needs.
  • Use masks to apply effects selectively, allowing for more precise and targeted adjustments.
  • Combine multiple effects like blurring and sharpening to achieve unique visual results.
  • Adjust the contrast parameter to enhance the overall tone and mood of your image.
  • Utilize advanced options like pixelation and quantization for creative and artistic effects.

ADJUST (JOV) 🕸️ Common Errors and Solutions:

"Invalid radius value"

  • Explanation: The radius value provided is outside the acceptable range.
  • Solution: Ensure the radius value is within the specified minimum and maximum limits.

"Unsupported mask format"

  • Explanation: The mask provided is not in a supported format.
  • Solution: Use a grayscale image for the mask, where white areas represent the regions to be affected.

"Effect intensity too high"

  • Explanation: The value parameter is set too high, resulting in an overly intense effect.
  • Solution: Reduce the value parameter to achieve a more balanced and visually pleasing result.

"Image size mismatch"

  • Explanation: The input image and mask have different dimensions.
  • Solution: Ensure that the input image and mask have the same dimensions for proper alignment and effect application.

ADJUST (JOV) 🕸️ Related Nodes

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

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