From 0c63b4f6e3ce807a0f85c1826710bcf18ade3e2c Mon Sep 17 00:00:00 2001 From: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com> Date: Wed, 1 Apr 2026 17:22:06 -0700 Subject: [PATCH] Remove dead code. (#13251) --- comfy/ldm/modules/encoders/noise_aug_modules.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/comfy/ldm/modules/encoders/noise_aug_modules.py b/comfy/ldm/modules/encoders/noise_aug_modules.py index a5d866030..c853e4298 100644 --- a/comfy/ldm/modules/encoders/noise_aug_modules.py +++ b/comfy/ldm/modules/encoders/noise_aug_modules.py @@ -3,12 +3,9 @@ from ..diffusionmodules.openaimodel import Timestep import torch class CLIPEmbeddingNoiseAugmentation(ImageConcatWithNoiseAugmentation): - def __init__(self, *args, clip_stats_path=None, timestep_dim=256, **kwargs): + def __init__(self, *args, timestep_dim=256, **kwargs): super().__init__(*args, **kwargs) - if clip_stats_path is None: - clip_mean, clip_std = torch.zeros(timestep_dim), torch.ones(timestep_dim) - else: - clip_mean, clip_std = torch.load(clip_stats_path, map_location="cpu") + clip_mean, clip_std = torch.zeros(timestep_dim), torch.ones(timestep_dim) self.register_buffer("data_mean", clip_mean[None, :], persistent=False) self.register_buffer("data_std", clip_std[None, :], persistent=False) self.time_embed = Timestep(timestep_dim)