ComfyUI Node: Edge FX Source Images

Edge FX Source Images:

The EdgeFXSourceImages node is designed to generate edge effects for a sequence of images, enhancing the visual dynamics of your animations. This node is particularly useful for creating striking transitions and effects by analyzing the differences between consecutive frames and applying various transformations. By leveraging this node, you can add a professional touch to your animations, making them more engaging and visually appealing. The primary goal of this node is to detect edges and apply effects that highlight these edges, providing a unique and artistic flair to your image sequences.

Edge FX Source Images Input Parameters:

frames

This parameter represents the sequence of images that you want to process. Each image in the sequence will be analyzed to detect edges and apply the desired effects. The quality and resolution of these images can significantly impact the final output.

offset

The offset parameter determines the frame difference used to calculate the edge effects. A higher offset value will compare frames that are further apart, potentially resulting in more pronounced edge effects. The default value is typically set to 1, meaning consecutive frames are compared.

frame_width

This parameter specifies the width of each frame in the sequence. It is crucial to set this correctly to match the dimensions of your input images, ensuring that the edge effects are applied accurately.

frame_height

Similar to frame_width, this parameter defines the height of each frame. Correctly setting this value is essential for maintaining the integrity of the edge effects across all frames.

fx_cull_white_frames

This boolean parameter determines whether frames that are entirely white should be culled (removed) from the final output. Enabling this option can help in eliminating unnecessary frames, thereby optimizing the animation sequence.

Edge FX Source Images Output Parameters:

edge_fx_frames

This output parameter provides the sequence of frames with the applied edge effects. Each frame in this sequence will have the detected edges highlighted, creating a visually striking effect that enhances the overall animation.

edge_fx_fade_frames

This output parameter contains the sequence of frames with additional fade effects applied to the edges. This can create smoother transitions and a more polished look for your animations.

image_batch

This output parameter is a tensor containing the processed images ready for output. It ensures that the images are in the correct format and resolution for further processing or rendering.

qr_image_batch

This output parameter is a tensor containing the QR code images, if applicable. It ensures that the QR code images are processed and ready for output alongside the main image sequence.

edge_fx_batch

This output parameter is a tensor containing the edge effect frames, ensuring they are in the correct format for further processing or rendering.

edge_fx_fade_batch

This output parameter is a tensor containing the edge effect frames with fade effects, ensuring they are in the correct format for further processing or rendering.

Edge FX Source Images Usage Tips:

• Ensure that your input images are of high quality and resolution to achieve the best edge effects.
• Experiment with different offset values to see how they impact the edge detection and overall effect.
• Use the fx_cull_white_frames parameter to remove unnecessary white frames, optimizing your animation sequence.
• Combine edge effects with other visual effects like blur and contrast adjustments to create unique and engaging animations.

Edge FX Source Images Common Errors and Solutions:

"Frame dimensions do not match"

• Explanation: This error occurs when the specified frame_width and frame_height do not match the actual dimensions of the input images.
• Solution: Ensure that the frame_width and frame_height parameters are set to the correct dimensions of your input images.

"Invalid offset value"

• Explanation: This error occurs when the offset value is set to a negative number or a value that exceeds the number of frames in the sequence.
• Solution: Set the offset value to a positive number that is within the range of the total number of frames in your sequence.

"All frames are white"

• Explanation: This error occurs when the fx_cull_white_frames parameter is enabled, and all frames in the sequence are detected as entirely white.
• Solution: Disable the fx_cull_white_frames parameter or provide a sequence of images that contain more varied content.

"Tensor shape mismatch"

• Explanation: This error occurs when there is a mismatch in the expected shape of the tensors during processing.
• Solution: Ensure that all input images are of the same dimensions and that the parameters are set correctly to match these dimensions.