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Apply color correction to batch images for enhanced visual quality, ideal for AI artists seeking consistent color grading.
BatchColorCorrection is a powerful node designed to apply color correction to a batch of images, enhancing their visual quality by adjusting various color attributes. This node is particularly useful for AI artists who need to process multiple images simultaneously, ensuring consistent color grading across a series of artworks. It leverages advanced techniques such as lift, gamma, and gain adjustments to modify shadows, midtones, and highlights, respectively. Additionally, it offers options for noise addition, white balance, and face enhancement, making it versatile for different artistic styles and requirements. The node operates in different modes, including Auto and Preset, allowing for both automated and manual control over the color correction process. By using this node, you can achieve professional-grade color adjustments, enhancing the overall aesthetic appeal of your images.
This parameter represents the original input image before any VAE encoding. It serves as the baseline for color correction, allowing the node to compare and adjust the processed image accordingly. The original image is crucial for maintaining the integrity of the initial artwork while applying enhancements.
The processed image is the version of the original image after VAE decoding, which may include color shifts. This parameter is essential for identifying and correcting any unwanted color changes introduced during the VAE process, ensuring the final output remains true to the artist's vision.
This float parameter controls the intensity of the color correction applied to the VAE color shifts. With a default value of 0.8, it ranges from 0.0 (no correction) to 1.0 (full correction). Adjusting this parameter allows you to fine-tune the balance between preserving the original image's colors and enhancing them for better visual impact.
This parameter offers a selection of color correction methods, including luminance_zones, histogram_matching, statistical_matching, and advanced_3d_lut. Each method provides a different approach to color correction, from professional shadows/midtones/highlights adjustments to advanced 3D color mapping. The default method is advanced_3d_lut, known for its accuracy in color correction.
A boolean parameter that determines whether to correct only the areas that existed in the original image, preserving any new inpainted content. By default, this is set to True, ensuring that newly added elements in the artwork are not altered during the color correction process.
The result is the final output image after the batch color correction process. It reflects all the adjustments made based on the input parameters, providing a visually enhanced version of the original artwork. This output is crucial for evaluating the effectiveness of the color correction and ensuring the desired artistic outcome.
Auto mode for automated adjustments or Preset mode for predefined settings that suit your artistic style.method options to find the most suitable color correction technique for your artwork, especially when dealing with complex color shifts.correction_strength parameter to balance between subtle enhancements and more pronounced color corrections, depending on the desired visual impact.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.