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Loads images and extracts EXIF metadata, providing 35mm equivalent focal length for AI art.
The LoadImageWithExif node is designed to enhance your image processing workflow by not only loading images but also extracting valuable EXIF metadata, specifically the focal length. This node is particularly useful for AI artists who need to incorporate camera settings into their creative processes, as it provides the focal length in 35mm equivalent, which is a standard reference in photography. By integrating this node into your workflow, you can ensure that the images you work with retain important photographic context, which can be crucial for tasks that require an understanding of the original image capture settings. The node seamlessly handles image loading and metadata extraction, making it a powerful tool for those who wish to maintain the integrity of photographic data in their projects.
The image parameter is a required input that specifies the path to the image file you wish to load and process. This parameter is crucial as it determines the source image from which the EXIF data will be extracted. The node supports a variety of image formats, ensuring flexibility in your workflow. The image file should be located in the input directory specified by the system, and the parameter allows for image upload functionality to facilitate easy selection.
The default_focal_mm parameter is an optional input that sets a default focal length value in millimeters, used when the EXIF data does not contain this information. This parameter is important for maintaining consistency in your image processing tasks, especially when dealing with images that lack complete metadata. The default value is 30.0 mm, with a range from 1.0 to 500.0 mm, allowing you to specify a focal length that best suits your needs. Adjusting this parameter can impact the interpretation of the image's perspective and depth, making it a valuable tool for fine-tuning your results.
The image output is a tensor representation of the loaded image, ready for further processing or analysis. This output is crucial for integrating the image into your AI-driven workflows, as it provides a standardized format that can be easily manipulated or fed into other nodes or models. The tensor format ensures compatibility with various machine learning frameworks, facilitating seamless transitions between different stages of your project.
The mask output is a tensor that represents the alpha channel or transparency mask of the image. This output is particularly useful for tasks that require precise control over image transparency, such as compositing or layering. The mask allows you to isolate specific parts of the image, enabling more sophisticated image manipulations and effects.
The focal_length_mm output provides the focal length extracted from the image's EXIF metadata, expressed in millimeters. This output is essential for understanding the photographic context of the image, as the focal length influences the image's perspective and depth of field. By accessing this information, you can make informed decisions about how to process or interpret the image, ensuring that your creative work aligns with the original photographic intent.
default_focal_mm parameter to set a realistic focal length for images that lack complete EXIF data, ensuring consistency in your results.mask output to perform advanced image manipulations, such as selective editing or compositing, by isolating specific areas of the image.folder_paths module is not accessible, which is necessary for locating image files.folder_paths module is correctly installed and configured in your environment. Verify that the input directory is set up properly.<image>default_focal_mm parameter to provide a fallback focal length value.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.