wangbo/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-12-18 18:43:05 +08:00
Code Issues Actions 10 Packages Projects Releases Wiki Activity

Add exp_heun_2_x0 sampler series (#11360)

Browse Source
This commit is contained in:
chaObserv 2025-12-17 12:35:43 +08:00 committed by GitHub
parent ffdd53b327
commit 827bb1512b
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
3 changed files with 22 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
comfy/k_diffusion/sampling.py
View File

@ -1618,6 +1618,17 @@ def sample_seeds_2(model, x, sigmas, extra_args=None, callback=None, disable=Non
x = x + sde_noise * sigmas[i + 1] * s_noise
return x
@torch.no_grad()
def sample_exp_heun_2_x0(model, x, sigmas, extra_args=None, callback=None, disable=None, solver_type="phi_2"):
"""Deterministic exponential Heun second order method in data prediction (x0) and logSNR time."""
return sample_seeds_2(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=0.0, s_noise=0.0, noise_sampler=None, r=1.0, solver_type=solver_type)
@torch.no_grad()
def sample_exp_heun_2_x0_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type="phi_2"):
"""Stochastic exponential Heun second order method in data prediction (x0) and logSNR time."""
return sample_seeds_2(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, r=1.0, solver_type=solver_type)
@torch.no_grad()
def sample_seeds_3(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r_1=1./3, r_2=2./3):

2
comfy/samplers.py
View File

@ -720,7 +720,7 @@ class Sampler:
sigma = float(sigmas[0])
return math.isclose(max_sigma, sigma, rel_tol=1e-05) or sigma > max_sigma
KSAMPLER_NAMES = ["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2","dpm_2", "dpm_2_ancestral",
KSAMPLER_NAMES = ["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral",
"lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu",
"dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm",
"ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp",

11
comfy_extras/nodes_custom_sampler.py
View File

@ -671,7 +671,16 @@ class SamplerSEEDS2(io.ComfyNode):
io.Float.Input("s_noise", default=1.0, min=0.0, max=100.0, step=0.01, round=False, tooltip="SDE noise multiplier"),
io.Float.Input("r", default=0.5, min=0.01, max=1.0, step=0.01, round=False, tooltip="Relative step size for the intermediate stage (c2 node)"),
],
outputs=[io.Sampler.Output()]
outputs=[io.Sampler.Output()],
description=(
"This sampler node can represent multiple samplers:\n\n"
"seeds_2\n"
"- default setting\n\n"
"exp_heun_2_x0\n"
"- solver_type=phi_2, r=1.0, eta=0.0\n\n"
"exp_heun_2_x0_sde\n"
"- solver_type=phi_2, r=1.0, eta=1.0, s_noise=1.0"
)
)
@classmethod