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ComfyUI-Image-Filters provides image and matte filtering nodes for ComfyUI, enabling advanced image processing and enhancement within the ComfyUI framework.
ComfyUI-Image-Filters is an extension designed to enhance your image processing capabilities within the ComfyUI framework. This extension provides a variety of nodes that allow you to apply different filters and effects to images, masks, and latents. Whether you are looking to clean up image edges, blur images, enhance details, or normalize colors, ComfyUI-Image-Filters offers tools that can help you achieve professional-quality results with ease.
For AI artists, this extension can be particularly useful in refining and perfecting images generated by AI models. It helps solve common problems such as noise, color mismatches, and edge artifacts, making your final output more polished and visually appealing.
ComfyUI-Image-Filters works by providing a set of nodes that you can integrate into your ComfyUI workflows. Each node performs a specific image processing task, such as blurring, enhancing details, or normalizing colors. By connecting these nodes in different ways, you can create complex image processing pipelines tailored to your specific needs.
Think of each node as a tool in a digital artist's toolkit. Just as you might use different brushes and techniques to create a painting, you can use different nodes to process and refine your images. For example, you might use a blur node to soften an image, followed by a detail enhancement node to bring out fine textures.
Cleans up holes and near-solid areas in a matte, making it useful for refining masks and ensuring smooth edges.
Refines the edges of an image using an alpha or trimap. It can also extract foreground and background colors, making it ideal for cleaning up segments or hand-drawn masks. Alpha Matte
Applies a fast Gaussian blur to images, significantly faster than the default ComfyUI blur. It supports larger blur radii and separate x/y controls.
Similar to Blur Image (Fast), but specifically designed for masks.
Allows you to dilate or erode masks using either a box or circle filter, useful for adjusting the thickness of mask edges.
Increases or decreases details in an image using a guided filter, which is more effective than traditional Gaussian blur-based sharpening. Enhance Detail
Feathers the edges of a matte based on similar RGB colors, working best with strong color separation between foreground and background. Guided Filter Alpha
Adjusts the color range of an image to fit a new blackpoint and whitepoint, useful for clamping or thresholding soft mattes.
Clamps latents that are more than a specified number of standard deviations away from 0, helping to reduce noise and artifacts.
Normalizes latents or images to match the mean and standard deviation of a reference input, useful for correcting color shifts.
Normalizes each frame in a batch to the overall mean and standard deviation, reducing brightness flickering.
Calculates the absolute value of the difference between inputs, making it easier to view dark values by boosting them.
Creates an empty image of any color, either in RGB or HSV color space.
Creates an empty latent image with custom values, allowing for offset noise with per-channel control.
Prints statistics about the latents, including dimensions and per-channel mean, standard deviation, minimum, and maximum values.
Applies or removes a log + contrast curve tonemap, useful for adjusting image contrast dynamically.
Adjusts the exposure of an image linearly in f-stops, with an optional tonemap.
Converts between different normal map color spaces, with optional normalization and black region fixes.
Returns the average image of a batch, useful for creating composite images.
Generates a simple high-frequency normal map using the Scharr operator.
Provides various keying options, including luma, saturation, channel, and greenscreen keying.
Tools for supersampling and antialiasing workflows.
Allows you to rearrange image channels as needed.
Matches the color of an image to a reference image using mean or blur, similar to AdaIN.
Transfers details from one image to another using frequency separation techniques, useful for restoring details lost in img2img workflows. Restore Detail
Applies realistic film grain to images, with a natural luminance and intensity response, and is significantly faster than other options.
If you encounter import errors related to OpenCV or cv2, it may be due to having multiple or incorrect versions of OpenCV installed. Use the provided import_error_install.bat
file to uninstall all versions of OpenCV and reinstall the correct version, opencv-contrib-python
.
Ensure that you are using the appropriate blur radius and settings for your specific needs. Adjust the x/y controls in the Blur Image (Fast) node to achieve the desired effect.
Use the AdaIN Latent/Image or ColorMatch nodes to normalize colors and match them to a reference image. This can help correct any color shifts that may occur during processing.
Q: How do I install ComfyUI-Image-Filters? A: Installation instructions are provided in the extension's repository. Follow the steps to install the required dependencies and set up the extension.
Q: Can I use ComfyUI-Image-Filters with other image processing tools? A: Yes, ComfyUI-Image-Filters is designed to be flexible and can be integrated with other image processing tools and workflows.
Q: What should I do if a node is not working as expected? A: Check the node settings and ensure that all inputs are correctly connected. Refer to the documentation for specific node usage instructions.
To learn more about ComfyUI-Image-Filters and how to use it effectively, you can explore the following resources:
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