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Facilitates image loading and processing in MFlux for AI artists, offering directory selection and processing strength adjustment.
The MfluxLoadImage
node is designed to facilitate the loading and processing of images within the MFlux framework. This node is particularly useful for AI artists who need to incorporate existing images into their creative workflows. By leveraging this node, you can easily select an image from a specified directory and apply a processing strength to it, which can be useful for various image manipulation tasks. The node's primary function is to load an image and prepare it for further processing by returning an image pipeline object along with the image's dimensions. This capability is essential for tasks that require precise control over image inputs and their subsequent transformations, making it a valuable tool in the MFlux suite for enhancing and customizing image-based projects.
The image
parameter allows you to select an image file from a predefined directory. This parameter is crucial as it determines which image will be loaded and processed by the node. The available options for this parameter are dynamically generated from the files present in the input directory, ensuring that you can only select valid image files. This parameter supports image upload functionality, making it easy to integrate new images into your workflow.
The strength
parameter is a floating-point value that controls the intensity of the processing applied to the loaded image. It ranges from 0.0 to 1.0, with a default value of 0.4. This parameter allows you to fine-tune the level of processing, providing flexibility in how the image is manipulated. A lower strength value results in minimal processing, while a higher value increases the intensity of the applied effects. This parameter is essential for achieving the desired visual outcome in your image processing tasks.
The image
output is an instance of the MfluxImagePipeline
class, which encapsulates the loaded image and its associated processing strength. This output is crucial for further processing steps, as it provides a structured way to manage and manipulate the image within the MFlux framework. The MfluxImagePipeline
object serves as a foundation for subsequent image transformations and enhancements.
The width
output represents the width of the loaded image in pixels. This information is important for understanding the dimensions of the image and ensuring that any subsequent processing steps are appropriately scaled. Knowing the image width allows you to make informed decisions about how to handle the image in your creative projects.
The height
output provides the height of the loaded image in pixels. Similar to the width output, this information is essential for understanding the image's dimensions and ensuring that any processing or transformations are correctly applied. The height value helps you maintain the aspect ratio and overall integrity of the image throughout your workflow.
image
parameter.strength
values to achieve the desired level of processing on your images. Start with the default value and adjust as needed to see how it affects the final output.<image_name>
strength
parameter is not a valid number.strength
value is a numeric type, either an integer or a float, and falls within the specified range of 0.0 to 1.0.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.