ComfyUI Node: CogVideo TextEncode Combine

CogVideo TextEncode Combine:

The CogVideoTextEncodeCombine node is designed to merge two conditioning inputs into a single output, providing flexibility in how these inputs are combined. This node is particularly useful in scenarios where you want to blend or concatenate different conditioning data to influence the behavior of a model, such as in video generation or other AI-driven creative processes. By offering multiple combination modes, including average, weighted average, and concatenation, this node allows you to fine-tune the conditioning inputs to achieve the desired effect. The ability to adjust the weighted average ratio further enhances the control you have over the blending process, making this node a powerful tool for AI artists looking to experiment with different conditioning strategies.

CogVideo TextEncode Combine Input Parameters:

conditioning_1

This parameter represents the first conditioning input that you want to combine. It is essential that this input has the same shape as conditioning_2 to ensure a successful combination. The conditioning input typically contains encoded information that influences the model's output.

conditioning_2

This parameter represents the second conditioning input that you want to combine with conditioning_1. Like conditioning_1, it must have the same shape to be combined correctly. This input also contains encoded information that will be merged with the first conditioning input.

combination_mode

This parameter determines the method used to combine the two conditioning inputs. The available options are "average," "weighted_average," and "concatenate." The default mode is "weighted_average." Choosing "average" will simply average the two inputs, "weighted_average" will blend them based on the specified ratio, and "concatenate" will join them along the last dimension.

weighted_average_ratio

This parameter is used when the combination_mode is set to "weighted_average." It specifies the ratio at which the two conditioning inputs are blended. The value ranges from 0.0 to 10.0, with a default of 0.5. A ratio closer to 0.0 gives more weight to conditioning_1, while a ratio closer to 10.0 gives more weight to conditioning_2.

CogVideo TextEncode Combine Output Parameters:

conditioning

The output parameter is a single conditioning that results from combining conditioning_1 and conditioning_2 based on the specified combination_mode and weighted_average_ratio. This combined conditioning can then be used to guide the model in generating the desired output, such as a video or image.

CogVideo TextEncode Combine Usage Tips:

• When using the "weighted_average" mode, experiment with different weighted_average_ratio values to find the optimal blend of the two conditioning inputs for your specific task.
• Ensure that conditioning_1 and conditioning_2 have the same shape to avoid errors during the combination process.
• Use the "concatenate" mode if you want to preserve the distinct features of both conditioning inputs, as this mode will join them along the last dimension.

CogVideo TextEncode Combine Common Errors and Solutions:

conditioning_1 and conditioning_2 must have the same shape

• Explanation: This error occurs when the shapes of conditioning_1 and conditioning_2 do not match.
• Solution: Ensure that both conditioning inputs have the same shape before passing them to the node. You may need to preprocess the inputs to align their shapes.

Invalid combination mode

• Explanation: This error occurs when an unsupported value is provided for the combination_mode parameter.
• Solution: Check the combination_mode parameter and ensure it is set to one of the supported values: "average," "weighted_average," or "concatenate."