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comply with ComfyUI guidelines for torch.no_grad and RF detection

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xxiiyu 2026-07-08 01:07:09 +08:00
parent e8a1fa8eeb
commit 02159d814d
1 changed files with 3 additions and 3 deletions
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6
comfy/k_diffusion/sampling.py
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@ -1316,13 +1316,14 @@ def sample_euler_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disabl
@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):
"""Ancestral sampling with DPM-Solver++(2S) second-order steps.""" """Ancestral sampling with DPM-Solver++(2S) second-order steps."""
if isinstance(model.inner_model.inner_model.model_sampling, comfy.model_sampling.CONST): model_sampling = model.inner_model.model_patcher.get_model_object('model_sampling')
if isinstance(model_sampling, comfy.model_sampling.CONST):
return sample_dpmpp_2s_ancestral_RF_cfg_pp(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) return sample_dpmpp_2s_ancestral_RF_cfg_pp(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler)
extra_args = {} if extra_args is None else extra_args extra_args = {} if extra_args is None else extra_args
seed = extra_args.get("seed", None) seed = extra_args.get("seed", None)
noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler
s_noise = s_noise * getattr(model.inner_model.model_patcher.get_model_object('model_sampling'), "noise_scale", 1.0) s_noise = s_noise * getattr(model_sampling, "noise_scale", 1.0)
uncond_denoised = None uncond_denoised = None
def post_cfg_function(args): def post_cfg_function(args):
@ -1365,7 +1366,6 @@ def sample_dpmpp_2s_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback
x += guidance_vector x += guidance_vector
return x return x
@torch.no_grad()
def sample_dpmpp_2s_ancestral_RF_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_RF_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
"""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