Visit ComfyUI Online for ready-to-use ComfyUI environment
Adjust CLIP model's attention mechanism temperature for creative output control, ideal for AI artists experimenting with artistic effects.
The CLIP Temperature node is designed to adjust the temperature of the CLIP model's attention mechanism, which can significantly influence the creativity and variability of the generated outputs. By modifying the temperature, you can control the randomness of the model's predictions, making it either more deterministic or more creative. This node is particularly useful for AI artists who want to fine-tune the behavior of their models to achieve specific artistic effects. The node provides a straightforward way to apply these adjustments without needing deep technical knowledge, making it accessible for users who want to experiment with different temperature settings to see how it affects their results.
This parameter represents the CLIP model that you want to apply the temperature adjustments to. It is a required input and should be a valid CLIP model instance.
This parameter controls the temperature setting for the CLIP model's attention mechanism. A lower temperature (closer to 0.0) makes the model's predictions more deterministic and less random, while a higher temperature (up to 10.0) increases the randomness and creativity of the outputs. The default value is 1.0, with a minimum of 0.0 and a maximum of 10.0, adjustable in steps of 0.01.
This parameter defines the original scale of the input image. It is an integer value with a default of 512, a minimum of 64, and a maximum of 100000, adjustable in steps of 64. This helps in maintaining the aspect ratio and scaling the image correctly.
This parameter sets the target scale for the width of the output image. It is an integer value with a default of 512, a minimum of 64, and a maximum of 100000, adjustable in steps of 64. This allows you to resize the output image to a specific width.
This parameter sets the target scale for the height of the output image. It is an integer value with a default of 512, a minimum of 64, and a maximum of 100000, adjustable in steps of 64. This allows you to resize the output image to a specific height.
This boolean parameter, when set to True, enables dynamic scaling of the temperature based on the input image's dimensions. The default value is False. This can be useful for adjusting the temperature dynamically to better suit different image sizes.
This boolean parameter, when set to True, enables dynamic scaling of the output image based on the temperature settings. The default value is False. This helps in maintaining the quality and consistency of the output image when different temperature settings are applied.
The output is the modified CLIP model with the applied temperature settings. This adjusted model can then be used for further processing or generating outputs with the new temperature settings, allowing for more controlled and creative results.
© Copyright 2024 RunComfy. All Rights Reserved.