diff --git a/modules/lora/extra_networks_lora.py b/modules/lora/extra_networks_lora.py
index faccc7d6e..a17914683 100644
--- a/modules/lora/extra_networks_lora.py
+++ b/modules/lora/extra_networks_lora.py
@@ -4,7 +4,7 @@ import re
 import numpy as np
 from modules.lora import networks, lora_overrides, lora_load
 from modules.lora import lora_common as l
-from modules import extra_networks, shared
+from modules import extra_networks, shared, sd_models
 
 
 debug = os.environ.get('SD_LORA_DEBUG', None) is not None
@@ -179,6 +179,7 @@ class ExtraNetworkLora(extra_networks.ExtraNetwork):
                 job = shared.state.job
                 shared.state.job = 'LoRA'
                 lora_load.network_load(names, te_multipliers, unet_multipliers, dyn_dims) # load only on first call
+                sd_models.set_diffuser_offload(shared.sd_model, op="model")
                 shared.state.job = job
         else:
             lora_load.network_load(names, te_multipliers, unet_multipliers, dyn_dims) # load
diff --git a/modules/teacache/__init__.py b/modules/teacache/__init__.py
index cb06c1f26..89e3cc0c8 100644
--- a/modules/teacache/__init__.py
+++ b/modules/teacache/__init__.py
@@ -9,6 +9,8 @@ supported_models = ['Flux', 'CogVideoX', 'Mochi', 'LTX']
 
 def apply_teacache(p):
     from modules import shared
+    if not shared.opts.teacache_enabled:
+        return
     if not any(shared.sd_model.__class__.__name__.startswith(x) for x in supported_models):
         return
     if not hasattr(shared.sd_model, 'transformer'):
diff --git a/requirements.txt b/requirements.txt
index f1de3abd7..df120f3fa 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -34,7 +34,7 @@ pi-heif
 rich==13.9.4
 safetensors==0.5.3
 tensordict==0.1.2
-peft==0.14.0
+peft==0.15.1
 httpx==0.24.1
 compel==2.0.3
 torchsde==0.2.6
@@ -52,7 +52,7 @@ numba==0.59.1
 protobuf==4.25.3
 pytorch_lightning==1.9.4
 tokenizers==0.21.1
-transformers==4.50.3
+transformers==4.51.0
 urllib3==1.26.19
 Pillow==10.4.0
 timm==0.9.16