37 lines
966 B
Python
37 lines
966 B
Python
# Ported from
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# https://huggingface.co/ByteDance/Hyper-SD/blob/main/comfyui/ComfyUI-HyperSDXL1StepUnetScheduler/node.py
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import comfy.samplers
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import comfy.sample
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from comfy.k_diffusion import sampling as k_diffusion_sampling
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import latent_preview
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import torch
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import comfy.utils
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class HyperSDXL1StepUnetScheduler:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"model": ("MODEL",),
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"steps": ("INT", {"default": 1, "min": 1, "max": 10}),
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}
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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, model, steps):
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timesteps = torch.tensor([800])
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sigmas = model.model.model_sampling.sigma(timesteps)
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sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
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return (sigmas,)
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NODE_CLASS_MAPPINGS = {
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"HyperSDXL1StepUnetScheduler": HyperSDXL1StepUnetScheduler,
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}
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