ComfyUI Node: Load Frame From Dataset

Load Frame From Dataset:

The LoadFrameFromDataset node is designed to facilitate the loading of specific frames from a dataset based on a given seed value. This node is particularly useful for AI artists who need to work with specific frames from a large collection of images, such as in video processing or animation projects. By providing a seed value, you can deterministically select a frame from the dataset, ensuring consistency across different runs. The node also ensures that the selected frame number is within the valid range of the dataset, preventing errors related to out-of-bounds indices. This functionality is essential for tasks that require precise frame selection and manipulation, such as creating consistent visual effects or animations.

Load Frame From Dataset Input Parameters:

frame_dataset

The frame_dataset parameter specifies the dataset from which frames will be loaded. This dataset should be a collection of image paths that the node can access and process. The dataset is expected to be in the format of FRAME_DATASET, which is a predefined type that ensures compatibility with the node's operations. This parameter is crucial as it provides the source of frames that the node will work with.

seed

The seed parameter is an integer that determines which frame to load from the dataset. It acts as an index, and the node uses this value to select a specific frame. The seed value has a default of 0 and must be within the range of 0 to 9999999999. This parameter is essential for ensuring that the same frame can be consistently selected across different runs, which is particularly useful for reproducibility in AI art projects.

total_frames

The total_frames parameter is an integer that indicates the total number of frames available in the dataset. This value helps the node to validate the seed and ensure that the selected frame number is within the valid range. The default value is 0, and it must be within the range of 0 to 9999999999. This parameter is important for preventing out-of-bounds errors and ensuring that the node operates within the limits of the dataset.

Load Frame From Dataset Output Parameters:

Image

The Image output parameter is the loaded frame from the dataset, represented as a tensor. This image is processed and converted to an RGB format, normalized, and then transformed into a tensor suitable for further processing in AI models. This output is crucial for any subsequent image processing or analysis tasks that you may want to perform.

Frame number

The Frame number output parameter is the index of the frame that was loaded from the dataset. This value is useful for tracking which frame was selected and can be used for logging or debugging purposes. It ensures that you know exactly which frame was processed, which is important for reproducibility and consistency in your projects.

Load Frame From Dataset Usage Tips:

• Ensure that the frame_dataset parameter points to a valid collection of image paths to avoid errors during frame loading.
• Use the seed parameter to consistently select the same frame across different runs, which is useful for reproducibility.
• Verify that the total_frames parameter accurately reflects the number of frames in your dataset to prevent out-of-bounds errors.

Load Frame From Dataset Common Errors and Solutions:

Found 0 frames in path <file_path>

• Explanation: This error occurs when the specified frame_dataset does not contain any frames.
• Solution: Ensure that the frame_dataset parameter points to a valid directory with image files. Verify the path and check that the directory is not empty.

IndexError: list index out of range

• Explanation: This error occurs when the seed value is outside the valid range of indices in the frame_dataset.
• Solution: Ensure that the seed value is within the range of 0 to total_frames - 1. Verify that the total_frames parameter accurately reflects the number of frames in the dataset.

FileNotFoundError: [Errno 2] No such file or directory: <image_path>

• Explanation: This error occurs when the specified image path in the frame_dataset does not exist.
• Solution: Verify that all paths in the frame_dataset are correct and that the files exist at those locations. Check for any typos or incorrect directory structures.