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Enhance AI model performance with advanced configuration settings for faster and more efficient results.
The Automatic CFG
This parameter represents the AI model that you want to optimize using the Warp Drive settings. The model is the core component that will be patched with advanced configuration settings to enhance its performance.
This parameter sets the starting value for the unconditional sigma, which is used in the dynamic configuration process. It helps in controlling the noise level at the beginning of the process. The default value is 1000.
This parameter sets the ending value for the unconditional sigma, which is used in the dynamic configuration process. It helps in controlling the noise level at the end of the process. The default value is 1.
This parameter sets the ending value for the fake unconditional sigma, which is used to simulate certain conditions in the dynamic configuration process. The default value is 1000.
The output parameter is the optimized AI model that has been patched with the advanced configuration settings. This model is now enhanced for better performance and speed, making it more efficient for generating AI art.
1/1/1
to disable unconditional processing and achieve the fastest results. This is ideal for quick iterations and testing.3/1/1
to balance speed and accuracy, ensuring that the model handles the subject effectively.5.5/1/1
engage the Frameshift Drive Autopilot, providing a balanced approach that works well with a variety of prompts while maintaining speed and quality.uncond_sigma_start
should be greater than the uncond_sigma_end
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