39 lines
1.4 KiB
Markdown
39 lines
1.4 KiB
Markdown
# Documentation
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- Class name: SamplerLMS
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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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SamplerLMS节点旨在为特定的采样策略生成定制的采样器。它封装了使用'ksampler'函数创建和配置采样器的功能，该函数针对不同的采样方法如'dpm_fast'或'dpm_adaptive'进行了优化。这个节点在采样过程中至关重要，确保为手头的任务使用适当的采样器。
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# Input types
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## Required
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- order
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- ‘order’参数对于确定SamplerLMS节点使用的采样方法的顺序至关重要。它直接影响采样器的配置，进而影响采样过程的质量和特性。
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- Comfy dtype: INT
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- Python dtype: int
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# Output types
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- sampler
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- SamplerLMS节点的输出'sampler'代表配置好的采样器对象。它很重要，因为它用于采样过程的后续步骤，直接影响采样任务的结果。
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- Comfy dtype: SAMPLER
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- Python dtype: 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 SamplerLMS:
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@classmethod
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def INPUT_TYPES(s):
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return {'required': {'order': ('INT', {'default': 4, 'min': 1, 'max': 100})}}
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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, order):
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sampler = comfy.samplers.ksampler('lms', {'order': order})
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return (sampler,)
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``` |