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Doesn't really make sense for cfg_pp sampler to call regular one.

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comfyanonymous 2024-09-11 02:51:36 -04:00
parent b5d0f2a908
commit 9f4daca9d9
1 changed files with 1 additions and 4 deletions
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comfy/k_diffusion/sampling.py
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@ -1103,9 +1103,6 @@ def sample_euler_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=No
return x return x
@torch.no_grad() @torch.no_grad()
def sample_dpmpp_2s_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): def sample_dpmpp_2s_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
if isinstance(model.inner_model.inner_model.model_sampling, comfy.model_sampling.CONST):
return sample_dpmpp_2s_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler)
"""Ancestral sampling with DPM-Solver++(2S) second-order steps.""" """Ancestral sampling with DPM-Solver++(2S) second-order steps."""
extra_args = {} if extra_args is None else extra_args extra_args = {} if extra_args is None else extra_args
noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler