56 lines
1.5 KiB
Markdown
56 lines
1.5 KiB
Markdown
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# Documentation
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- Class name: ImpactSchedulerAdapter
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- Category: ImpactPack/Util
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- Output node: False
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ImpactSchedulerAdapter节点旨在适配各种任务或过程的调度策略，允许根据特定条件或偏好动态选择和应用调度算法。
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# Input types
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## Required
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- scheduler
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- 指定要使用的主要调度器，可选择默认使用预定义的输入调度器。
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- Comfy dtype: COMBO[STRING]
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- Python dtype: comfy.samplers.KSampler.SCHEDULERS
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- ays_scheduler
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- 允许从预定义列表中选择替代调度策略，包括不使用替代调度器的选项（'None'）。
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- Comfy dtype: COMBO[STRING]
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- Python dtype: List[str]
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# Output types
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- scheduler
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- 输出选定的调度器，可能是主要调度器或基于提供条件的替代调度器。
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- Comfy dtype: COMBO[STRING]
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- Python dtype: core.SCHEDULERS
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## Usage tips
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- Infra type: `CPU`
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- Common nodes: unknown
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## Source code
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```python
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class ImpactSchedulerAdapter:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {
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"scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"defaultInput": True,}),
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"ays_scheduler": (['None', 'AYS SDXL', 'AYS SD1', 'AYS SVD'],),
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}}
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CATEGORY = "ImpactPack/Util"
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RETURN_TYPES = (core.SCHEDULERS,)
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RETURN_NAMES = ("scheduler",)
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FUNCTION = "doit"
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def doit(self, scheduler, ays_scheduler):
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if ays_scheduler != 'None':
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return (ays_scheduler,)
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return (scheduler,)
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```
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