Update model.py

model.py

@@ -1,7 +1,7 @@
 from enum import Enum
 import gc
 import numpy as np
-import tomesd
+#import tomesd
 import torch
 
 from diffusers import StableDiffusionInstructPix2PixPipeline, StableDiffusionControlNetPipeline, ControlNetModel, UNet2DConditionModel
@@ -86,12 +86,13 @@ class Model:
     def inference(self, split_to_chunks=False, chunk_size=8, **kwargs):
         if not hasattr(self, "pipe") or self.pipe is None:
             return
-
+        '''
         if "merging_ratio" in kwargs:
             merging_ratio = kwargs.pop("merging_ratio")
 
             # if merging_ratio > 0:
             tomesd.apply_patch(self.pipe, ratio=merging_ratio)
+        '''
         seed = kwargs.pop('seed', 0)
         if seed < 0:
             seed = self.generator.seed()