levzzz
4376a62508
- Wraps any sampler with adaptive step sizes - Error-based step size adjustment (cosine or MSE) - First step uses min_step_size, then scales by base_step_size / error - Outputs adaptive sigma schedule
15 lines
353 B
Python
15 lines
353 B
Python
from .adaptive_sampler import AdaptiveSamplerCustom, sample_adaptive_custom
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NODE_CLASS_MAPPINGS = {
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"AdaptiveSamplerCustom": AdaptiveSamplerCustom,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"AdaptiveSamplerCustom": "Adaptive Sampler Custom",
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}
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WEB_DIRECTORY = "./web"
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
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