22 lines
800 B
Python
22 lines
800 B
Python
import torch
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class LinearScheduler:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {
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"steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
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"sigma_max": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 5000.0, "step": 0.01, "round": False}),
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"sigma_min": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 5000.0, "step": 0.01, "round": False}),
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}}
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RETURN_TYPES = ("SIGMAS",)
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CATEGORY = "sampling/custom_sampling/schedulers"
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FUNCTION = "get_sigmas"
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def get_sigmas(self, steps, sigma_max, sigma_min):
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sigmas = torch.linspace(sigma_max, sigma_min, steps + 1)
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return (sigmas,)
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NODE_CLASS_MAPPINGS = {"LinearScheduler": LinearScheduler}
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NODE_DISPLAY_NAME_MAPPINGS = {"LinearScheduler": "Linear Scheduler"}
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