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Add SDTurboScheduler node.

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comfyanonymous 2023-11-28 13:35:32 -05:00
parent 21063fa35b
commit 57d7f4464f
1 changed files with 20 additions and 0 deletions
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20
comfy_extras/nodes_custom_sampler.py
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@ -81,6 +81,25 @@ class PolyexponentialScheduler:
sigmas = k_diffusion_sampling.get_sigmas_polyexponential(n=steps, sigma_min=sigma_min, sigma_max=sigma_max, rho=rho)
return (sigmas, )
class SDTurboScheduler:
@classmethod
def INPUT_TYPES(s):
return {"required":
{"model": ("MODEL",),
"steps": ("INT", {"default": 1, "min": 1, "max": 10}),
}
}
RETURN_TYPES = ("SIGMAS",)
CATEGORY = "sampling/custom_sampling/schedulers"
FUNCTION = "get_sigmas"
def get_sigmas(self, model, steps):
timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[:steps]
sigmas = model.model.model_sampling.sigma(timesteps)
sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
return (sigmas, )
class VPScheduler:
@classmethod
def INPUT_TYPES(s):
@ -257,6 +276,7 @@ NODE_CLASS_MAPPINGS = {
"ExponentialScheduler": ExponentialScheduler,
"PolyexponentialScheduler": PolyexponentialScheduler,
"VPScheduler": VPScheduler,
"SDTurboScheduler": SDTurboScheduler,
"KSamplerSelect": KSamplerSelect,
"SamplerDPMPP_2M_SDE": SamplerDPMPP_2M_SDE,
"SamplerDPMPP_SDE": SamplerDPMPP_SDE,