ComfyUI Node: Load Frame

Load Frame:

The LoadFrame node is designed to load a specific frame from a sequence of images based on a given seed value. This node is particularly useful in scenarios where you need to retrieve and process individual frames from a dataset of images, such as in video processing or animation projects. By specifying a seed, you can control which frame is loaded, allowing for reproducibility and precise frame selection. The node ensures that the selected frame is correctly oriented and converted to a format suitable for further processing, making it an essential tool for AI artists working with frame-based data.

Load Frame Input Parameters:

file_paths

This parameter expects a list of file paths to the frames you want to load. The frames should be provided in a format that the node can read and process. This parameter is crucial as it defines the dataset from which the frames will be loaded.

seed

The seed parameter is an integer that determines which frame to load from the provided file paths. The seed value allows for reproducibility, meaning that the same seed will always load the same frame. The default value is 0, with a minimum of 0 and a maximum of 9999999999.

total_frames

This parameter specifies the total number of frames available in the dataset. It helps the node to ensure that the seed value does not exceed the number of available frames. The default value is 0, with a minimum of 0 and a maximum of 9999999999.

Load Frame Output Parameters:

Image

This output parameter provides the loaded frame as an image tensor. The image is processed to ensure it is in the correct orientation and format, making it ready for further use in your AI art projects.

Frame number

This output parameter returns the frame number that was loaded, based on the seed value. It helps in tracking which frame was selected and can be useful for debugging or logging purposes.

Load Frame Usage Tips:

• Ensure that the file paths provided in the file_paths parameter are correct and accessible to avoid errors during frame loading.
• Use the seed parameter to control and reproduce the frame selection process, which is particularly useful for consistent results in iterative processes.
• Verify that the total_frames parameter accurately reflects the number of frames in your dataset to prevent out-of-bounds errors.

Load Frame Common Errors and Solutions:

FileNotFoundError

• Explanation: This error occurs when the specified file path does not exist or is incorrect.
• Solution: Double-check the file paths provided in the file_paths parameter to ensure they are correct and accessible.

IndexError

• Explanation: This error happens when the seed value exceeds the number of available frames.
• Solution: Ensure that the seed value is within the range of available frames by correctly setting the total_frames parameter.

ValueError

• Explanation: This error can occur if the image file is not in a readable format or is corrupted.
• Solution: Verify that all images in the dataset are in a supported format and are not corrupted. Replacing or reformatting problematic images can resolve this issue.