39 lines
1.4 KiB
Markdown
39 lines
1.4 KiB
Markdown
# Documentation
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- Class name: KSamplerSelect
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- Category: sampling/custom_sampling/samplers
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- Output node: False
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- Repo Ref: https://github.com/comfyanonymous/ComfyUI
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KSamplerSelect节点旨在为扩散过程中的不同采样方法提供选择机制。它抽象了选择和初始化各种采样器的复杂性，使用户能够专注于采样的高级任务，而不必深入每个采样器的初始化过程的具体细节。
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# Input types
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## Required
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- sampler_name
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- sampler_name参数对于确定将使用哪种采样方法至关重要。它指导节点根据提供的名称选择适当的采样器，这对于采样过程的执行和结果至关重要。
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- Comfy dtype: str
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- Python dtype: str
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# Output types
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- SAMPLER
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- SAMPLER输出代表所选择的采样方法。它封装了所选采样器的功能，这对于进行采样过程和实现所需结果具有重要意义。
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- Comfy dtype: sampler
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- Python dtype: comfy.samplers.KSampler
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# Usage tips
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- Infra type: CPU
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# Source code
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```
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class KSamplerSelect:
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@classmethod
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def INPUT_TYPES(s):
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return {'required': {'sampler_name': (comfy.samplers.SAMPLER_NAMES,)}}
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RETURN_TYPES = ('SAMPLER',)
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CATEGORY = 'sampling/custom_sampling/samplers'
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FUNCTION = 'get_sampler'
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def get_sampler(self, sampler_name):
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sampler = comfy.samplers.sampler_object(sampler_name)
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return (sampler,)
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``` |