KSamplerSelect

Documentation

Class name: KSamplerSelect
Category: sampling/custom_sampling/samplers
Output node: False

The KSamplerSelect node is designed to select a specific sampler based on the provided sampler name. It abstracts the complexity of sampler selection, allowing users to easily switch between different sampling strategies for their tasks.

Input types

Required

sampler_name
- Specifies the name of the sampler to be selected. This parameter determines which sampling strategy will be used, impacting the overall sampling behavior and results.
- Comfy dtype: COMBO[STRING]
- Python dtype: str

Output types

sampler
- Comfy dtype: SAMPLER
- Returns the selected sampler object, ready to be used for sampling tasks.
- Python dtype: comfy.samplers.Sampler

Usage tips

Infra type: CPU
Common nodes:
- SamplerCustom
- Reroute

Source code

class KSamplerSelect:
    @classmethod
    def INPUT_TYPES(s):
        return {"required":
                    {"sampler_name": (comfy.samplers.SAMPLER_NAMES, ),
                      }
               }
    RETURN_TYPES = ("SAMPLER",)
    CATEGORY = "sampling/custom_sampling/samplers"

    FUNCTION = "get_sampler"

    def get_sampler(self, sampler_name):
        sampler = comfy.samplers.sampler_object(sampler_name)
        return (sampler, )

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