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Enhance conditioning data by applying proportional delta adjustments for fine-tuning and adaptability.
The ConditioningAddConDelta
node is designed to enhance your conditioning data by applying a conditioning delta with a specified strength. This node is particularly useful in scenarios where you want to adjust or modify the conditioning data by adding a delta, which is essentially a change or difference, to the base conditioning. The node allows you to scale this delta to match the conditioning, ensuring that the modifications are proportional and coherent with the original data. This process is achieved by determining the ratio of the means of the two vectors involved, which helps in maintaining the balance and integrity of the conditioning data. By using this node, you can effectively fine-tune your conditioning data, making it more adaptable and responsive to specific needs or artistic goals.
This parameter represents the original conditioning data to which the delta will be added. It serves as the foundation upon which the modifications will be applied. The conditioning base is crucial as it determines the starting point of the transformation process.
The conditioning delta is the change or difference that you want to apply to the conditioning base. It is a vector that, when added to the base, modifies the original conditioning data. This parameter is essential for introducing variations or adjustments to the conditioning.
This parameter controls the intensity of the conditioning delta applied to the base. It is a float value with a default of 1.0, allowing you to scale the delta's impact. The strength can range from -100.0 to 100.0, providing flexibility in how subtle or pronounced the modifications are.
The output of this node is the modified conditioning data, which incorporates the applied delta. This output is crucial as it represents the adjusted conditioning that can be used in subsequent processes or nodes. The output maintains the structure of the original conditioning while reflecting the changes introduced by the delta.
conditioning_delta_strength
values to achieve the desired level of modification in your conditioning data. A higher strength will result in more pronounced changes, while a lower strength will yield subtler adjustments.conditioning_delta
. Ensure that the delta is compatible and coherent with the base to maintain the integrity of the output.conditioning_delta
contains more than one condition, but only the first one will be used in the operation.conditioning_delta
is structured correctly and contains only the necessary condition for the operation. If multiple conditions are present, verify that the first one is the intended delta to be applied.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.