From 060719683422fbcc054d75a92187f5976282df20 Mon Sep 17 00:00:00 2001
From: Haoming <hmstudy02@gmail.com>
Date: Tue, 10 Mar 2026 11:33:32 +0800
Subject: [PATCH] lint

---
 backend/sampling/condition.py         | 2 --
 backend/sampling/sampling_function.py | 7 -------
 2 files changed, 9 deletions(-)

diff --git a/backend/sampling/condition.py b/backend/sampling/condition.py
index 524871e9..1b030188 100644
--- a/backend/sampling/condition.py
+++ b/backend/sampling/condition.py
@@ -2,8 +2,6 @@ import math
 
 import torch
 
-from modules import shared
-
 
 def repeat_to_batch_size(tensor, batch_size):
     if tensor.shape[0] > batch_size:
diff --git a/backend/sampling/sampling_function.py b/backend/sampling/sampling_function.py
index 3d8dd207..2d5077e5 100644
--- a/backend/sampling/sampling_function.py
+++ b/backend/sampling/sampling_function.py
@@ -113,11 +113,6 @@ def can_concat_cond(c1, c2):
 
 
 def cond_cat(c_list):
-    c_crossattn = []
-    c_concat = []
-    c_adm = []
-    crossattn_max_len = 0
-
     temp = {}
     for x in c_list:
         for k in x:
@@ -392,8 +387,6 @@ def sampling_prepare(unet: "UnetPatcher", x: torch.Tensor):
     for cnet in unet.list_controlnets():
         cnet.pre_run(real_model, percent_to_timestep_function)
 
-    return
-
 
 def sampling_cleanup(unet: "UnetPatcher"):
     if unet.has_online_lora():