diff --git a/extensions-builtin/forge_preprocessor_revision/scripts/preprocessor_revision.py b/extensions-builtin/forge_preprocessor_revision/scripts/preprocessor_revision.py
index 46274b6d..eae93fce 100644
--- a/extensions-builtin/forge_preprocessor_revision/scripts/preprocessor_revision.py
+++ b/extensions-builtin/forge_preprocessor_revision/scripts/preprocessor_revision.py
@@ -36,6 +36,7 @@ def revision_conditioning_modifier(model, x, timestep, uncond, cond, cond_scale,
                                                  noise_level=torch.tensor([noise_level], device=x.device))
         adm_out = torch.cat((c_adm, noise_level_emb), 1)
 
+    new_y = adm_out[:, :1280]
     cond = copy.deepcopy(cond)
     uncond = copy.deepcopy(uncond)
 
diff --git a/modules_forge/supported_preprocessor.py b/modules_forge/supported_preprocessor.py
index ae08847b..9be7ca45 100644
--- a/modules_forge/supported_preprocessor.py
+++ b/modules_forge/supported_preprocessor.py
@@ -125,6 +125,8 @@ class PreprocessorClipVision(Preprocessor):
 
         return self.clipvision
 
+    @torch.no_grad()
+    @torch.inference_mode()
     def __call__(self, input_image, resolution, slider_1=None, slider_2=None, slider_3=None, **kwargs):
         clipvision = self.load_clipvision()
         return clipvision.encode_image(numpy_to_pytorch(input_image))