1.4 KiB
1.4 KiB
Documentation
- Class name: Sampler Selector
- Category: ImageSaverTools/utils
- Output node: False
- Repo Ref: https://github.com/comfyanonymous/ComfyUI
Sampler Selector 节点旨在为图像生成任务动态选择和配置采样策略。它允许根据输入参数选择不同的采样算法,从而针对各种场景和偏好优化图像生成过程。
Input types
Required
- sampler_name
- 指定要使用的采样器名称,影响图像生成任务的采样算法选择。
- Comfy dtype: COMBO[STRING]
- Python dtype: str
Output types
- sampler_name
- 返回配置好的采样器对象的标识符,可直接用于图像生成任务。
- Comfy dtype: COMBO[STRING]
- Python dtype: str
Usage tips
- Infra type:
GPU - Common nodes:
Source code
class SamplerSelector:
CATEGORY = 'ImageSaverTools/utils'
RETURN_TYPES = (comfy.samplers.KSampler.SAMPLERS,)
RETURN_NAMES = ("sampler_name",)
FUNCTION = "get_names"
@classmethod
def INPUT_TYPES(cls):
return {"required": {"sampler_name": (comfy.samplers.KSampler.SAMPLERS,)}}
def get_names(self, sampler_name):
return (sampler_name,)