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Add SA-Solver sampler (#8834)

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chaObserv
2025-07-09 04:17:06 +08:00
committed by GitHub
parent 974254218a
commit aac10ad23a
4 changed files with 278 additions and 1 deletions
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45
comfy_extras/nodes_custom_sampler.py
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@@ -2,6 +2,7 @@ import math
import comfy.samplers
import comfy.sample
from comfy.k_diffusion import sampling as k_diffusion_sampling
from comfy.k_diffusion import sa_solver
from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict
import latent_preview
import torch
@@ -521,6 +522,49 @@ class SamplerER_SDE(ComfyNodeABC):
return (sampler,)
class SamplerSASolver(ComfyNodeABC):
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
return {
"required": {
"model": (IO.MODEL, {}),
"eta": (IO.FLOAT, {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01, "round": False},),
"sde_start_percent": (IO.FLOAT, {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.001},),
"sde_end_percent": (IO.FLOAT, {"default": 0.8, "min": 0.0, "max": 1.0, "step": 0.001},),
"s_noise": (IO.FLOAT, {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01, "round": False},),
"predictor_order": (IO.INT, {"default": 3, "min": 1, "max": 6}),
"corrector_order": (IO.INT, {"default": 4, "min": 0, "max": 6}),
"use_pece": (IO.BOOLEAN, {}),
"simple_order_2": (IO.BOOLEAN, {}),
}
}
RETURN_TYPES = (IO.SAMPLER,)
CATEGORY = "sampling/custom_sampling/samplers"
FUNCTION = "get_sampler"
def get_sampler(self, model, eta, sde_start_percent, sde_end_percent, s_noise, predictor_order, corrector_order, use_pece, simple_order_2):
model_sampling = model.get_model_object("model_sampling")
start_sigma = model_sampling.percent_to_sigma(sde_start_percent)
end_sigma = model_sampling.percent_to_sigma(sde_end_percent)
tau_func = sa_solver.get_tau_interval_func(start_sigma, end_sigma, eta=eta)
sampler_name = "sa_solver"
sampler = comfy.samplers.ksampler(
sampler_name,
{
"tau_func": tau_func,
"s_noise": s_noise,
"predictor_order": predictor_order,
"corrector_order": corrector_order,
"use_pece": use_pece,
"simple_order_2": simple_order_2,
},
)
return (sampler,)
class Noise_EmptyNoise:
def __init__(self):
self.seed = 0
@@ -829,6 +873,7 @@ NODE_CLASS_MAPPINGS = {
"SamplerDPMPP_2S_Ancestral": SamplerDPMPP_2S_Ancestral,
"SamplerDPMAdaptative": SamplerDPMAdaptative,
"SamplerER_SDE": SamplerER_SDE,
"SamplerSASolver": SamplerSASolver,
"SplitSigmas": SplitSigmas,
"SplitSigmasDenoise": SplitSigmasDenoise,
"FlipSigmas": FlipSigmas,