|
|
| import numpy as np
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| import torch
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| from typing_extensions import override
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|
|
| from comfy_api.latest import ComfyExtension, io
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|
|
|
|
| def loglinear_interp(t_steps, num_steps):
|
| """
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| Performs log-linear interpolation of a given array of decreasing numbers.
|
| """
|
| xs = np.linspace(0, 1, len(t_steps))
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| ys = np.log(t_steps[::-1])
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|
|
| new_xs = np.linspace(0, 1, num_steps)
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| new_ys = np.interp(new_xs, xs, ys)
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|
|
| interped_ys = np.exp(new_ys)[::-1].copy()
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| return interped_ys
|
|
|
| NOISE_LEVELS = {"SD1": [14.6146412293, 6.4745760956, 3.8636745985, 2.6946151520, 1.8841921177, 1.3943805092, 0.9642583904, 0.6523686016, 0.3977456272, 0.1515232662, 0.0291671582],
|
| "SDXL":[14.6146412293, 6.3184485287, 3.7681790315, 2.1811480769, 1.3405244945, 0.8620721141, 0.5550693289, 0.3798540708, 0.2332364134, 0.1114188177, 0.0291671582],
|
| "SVD": [700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002]}
|
|
|
| class AlignYourStepsScheduler(io.ComfyNode):
|
| @classmethod
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| def define_schema(cls) -> io.Schema:
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| return io.Schema(
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| node_id="AlignYourStepsScheduler",
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| category="sampling/custom_sampling/schedulers",
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| inputs=[
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| io.Combo.Input("model_type", options=["SD1", "SDXL", "SVD"]),
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| io.Int.Input("steps", default=10, min=1, max=10000),
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| io.Float.Input("denoise", default=1.0, min=0.0, max=1.0, step=0.01),
|
| ],
|
| outputs=[io.Sigmas.Output()],
|
| )
|
|
|
| def get_sigmas(self, model_type, steps, denoise):
|
|
|
| return AlignYourStepsScheduler().execute(model_type, steps, denoise).result
|
|
|
| @classmethod
|
| def execute(cls, model_type, steps, denoise) -> io.NodeOutput:
|
| total_steps = steps
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| if denoise < 1.0:
|
| if denoise <= 0.0:
|
| return io.NodeOutput(torch.FloatTensor([]))
|
| total_steps = round(steps * denoise)
|
|
|
| sigmas = NOISE_LEVELS[model_type][:]
|
| if (steps + 1) != len(sigmas):
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| sigmas = loglinear_interp(sigmas, steps + 1)
|
|
|
| sigmas = sigmas[-(total_steps + 1):]
|
| sigmas[-1] = 0
|
| return io.NodeOutput(torch.FloatTensor(sigmas))
|
|
|
|
|
| class AlignYourStepsExtension(ComfyExtension):
|
| @override
|
| async def get_node_list(self) -> list[type[io.ComfyNode]]:
|
| return [
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| AlignYourStepsScheduler,
|
| ]
|
|
|
| async def comfy_entrypoint() -> AlignYourStepsExtension:
|
| return AlignYourStepsExtension()
|
|
|
