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Prepare and optimize diffusion stream for high-quality image generation by stabilizing initial stages for consistent results.
The StreamDiffusionWarmup
node is designed to prepare and optimize a diffusion stream for generating high-quality images. This node is particularly useful for AI artists who want to fine-tune the initial stages of the diffusion process, ensuring that the model is adequately "warmed up" before producing the final output. By running a specified number of warmup steps, the node helps stabilize the diffusion process, potentially leading to more consistent and refined results. This can be especially beneficial when working with complex prompts or when aiming for a specific artistic style. The main goal of this node is to enhance the initial conditions of the diffusion stream, making it more robust and reliable for subsequent image generation tasks.
This parameter represents the diffusion stream that will be warmed up. It is a required input and should be of type STREAM
.
This is a string input that allows you to specify negative prompts. Negative prompts are used to guide the model away from certain features or styles. This parameter supports multiline text, enabling you to provide detailed negative prompts.
This integer parameter defines the number of inference steps for the diffusion process. The more steps you specify, the more refined the output will be. The default value is 50, with a minimum of 1 and a maximum of 10,000 steps.
This float parameter stands for "Classifier-Free Guidance" scale. It controls the strength of the guidance applied during the diffusion process. A higher value will make the model adhere more strictly to the prompts. The default value is 1.2, with a range from 0.0 to 100.0.
This float parameter is used to adjust the step size during the diffusion process. It helps in fine-tuning the diffusion steps for better results. The default value is 1, with a range from 0.0 to 1.0.
This integer parameter sets the random seed for the diffusion process. Using the same seed will produce the same results, making your experiments reproducible. The default value is 0, with a range from 0 to 0xffffffffffffffff.
This integer parameter specifies the number of warmup steps to run before the actual image generation. Warmup steps help stabilize the diffusion process. The default value is 1, with a minimum of 0 and a maximum of 10,000 steps.
The output of this node is a warmed-up diffusion stream, denoted as WARMUP_STREAM
. This stream is now optimized and ready for subsequent image generation tasks, providing a more stable and reliable starting point for producing high-quality images.
warmup
parameter. Increasing the number of warmup steps can help stabilize the diffusion process, especially for complex prompts.cfg
parameter to control how strictly the model follows the prompts. Higher values will make the model adhere more closely to the prompts, which can be useful for achieving specific artistic styles.stream
parameter is not of type STREAM
.stream
parameter is a valid diffusion stream object.negative
parameter exceeds the allowed length.steps
parameter is outside the allowed range.steps
parameter is set between 1 and 10,000.cfg
parameter is outside the allowed range.cfg
parameter is set between 0.0 and 100.0.delta
parameter is outside the allowed range.delta
parameter is set between 0.0 and 1.0.seed
parameter is outside the allowed range.seed
parameter is set between 0 and 0xffffffffffffffff.warmup
parameter is outside the allowed range.warmup
parameter is set between 0 and 10,000.© Copyright 2024 RunComfy. All Rights Reserved.