Visit ComfyUI Online for ready-to-use ComfyUI environment
Blend conditioning vectors using Slerp for smooth transitions and natural transformations in AI projects.
The Conditioning (Slerp) node is designed to blend two conditioning vectors using a technique called Spherical Linear Interpolation (Slerp). This method allows for smooth transitions between two sets of conditioning data, which is particularly useful in scenarios where you want to create a gradual transformation or morphing effect between different conditions. By leveraging Slerp, the node ensures that the interpolation maintains a constant speed and follows the shortest path on a sphere, resulting in more natural and visually appealing transitions. This node is essential for AI artists looking to achieve nuanced and sophisticated conditioning effects in their projects.
This parameter represents the target conditioning vector to which you want to interpolate. It is one of the two conditioning vectors involved in the Slerp process. The quality and characteristics of the final output will be influenced by the properties of this vector.
This parameter represents the initial conditioning vector from which you want to interpolate. It is the starting point of the Slerp process. The characteristics of this vector will significantly impact the initial phase of the interpolation.
This parameter controls the strength of the interpolation towards the conditioning_to
vector. It is a float value ranging from 0 to 1, with a default value of 0.5. A value of 0 means no interpolation (the result will be the same as conditioning_from
), while a value of 1 means full interpolation (the result will be the same as conditioning_to
). Intermediate values will produce a blend between the two conditioning vectors.
The output is a single conditioning vector that results from the Slerp interpolation between the conditioning_from
and conditioning_to
vectors. This output can be used in subsequent nodes or processes that require a conditioning input, providing a smoothly blended transition that maintains the characteristics of both input vectors.
conditioning_to_strength
to find the optimal blend.conditioning_to
and conditioning_from
vectors do not match.conditioning_to_strength
parameter is set to a value outside the allowed range (0 to 1).conditioning_to_strength
parameter to a value within the range of 0 to 1.conditioning_to
and conditioning_from
vectors are correctly initialized and contain valid data before using the node.© Copyright 2024 RunComfy. All Rights Reserved.