KSampler Advanced

KSampler Advanced node

The KSampler Advanced node is the more advanced version of the KSampler node. While the KSampler node always adds noise to the latent followed by completely denoising the noised up latent, the KSampler Advanced node provides extra settings to control this behavior. The KSampler Advanced node can be told not to add noise into the latent with the add_noise setting. It can also be made to return partially denoised images via the return_with_leftover_noise setting. Unlike the KSampler node, this node does not have a denoise setting but this process is instead controlled by the start_at_step and end_at_step settings. This makes it possible to e.g. hand over a partially denoised latent to a separate KSampler Advanced node to finish the process.

Tips

Given that `end_at_step >= steps` a KSampler Advanced node will denoise a latent in the exact same way a KSampler node would with a `denoise` setting of:

`denoise = (steps - start_at_step) / steps`

inputs

Model

The model used for denoising

Positive

The positive conditioning.

Negative

The negative conditioning.

latent_image

The latent that will be denoised.

add_noise

Wether or not to add noise to the latent before denoising. When enabled the node will inject noise appropriate for the given start step.

seed

The random seed used in creating the noise.

control_after_generate

Provides the ability to change the seed number described above after each prompt. the node can randomize, increment, decrement or keep the seed number fixed.

steps

The number of steps in the schedule. The more steps the sampler is allowed to make the more accurate the result will be. See the samplers page for good guidelines on how to pick an appropriate number of steps.

cfg

The classifier free guidance(cfg) scale determines how aggressive the sampler should be in realizing the content of the prompts in the final image. Higher scales force the image to better represent the prompt, but a scale that is set too high will negatively impact the quality of the image.

sampler_name

Which sampler to use, see the samplers page for more details on the available samplers.

scheduler

The type of schedule to use, see the samplers page for more details on the available schedules.

start_at_step

Determines at which step of the schedule to start the denoising process.

end_at_step

Determines at which step of the schedule to end denoising. When this settings exceeds steps the schedule ends at steps instead

return_with_leftover_noise

When disabled the KSampler Advanced will attempt to completely denoise the latent in the final step. Depending on how many steps in the schedule are skipped by this, the output can be inaccurate and of lower quality.

outputs

LATENT

the denoised latent.

example

Under construction