remove commented code

scripts/animatediff_mm.py

@@ -4,15 +4,11 @@
 
 import torch
 from einops import rearrange
-# from ldm.modules.attention import SpatialTransformer
-# from ldm.modules.diffusionmodules.openaimodel import (TimestepBlock,
-#                                                       TimestepEmbedSequential)
 from ldm.modules.diffusionmodules.util import GroupNorm32
 from modules import hashes, shared, sd_models
 from modules.devices import cpu, device, torch_gc
 
 from motion_module import MotionWrapper
-# from motion_module import VanillaTemporalModule
 from scripts.animatediff_logger import logger_animatediff as logger
 
 
@@ -25,7 +21,6 @@ def __init__(self):
         self.prev_alpha_cumprod = None
         self.prev_alpha_cumprod_prev = None
         self.gn32_original_forward = None
-        # self.tes_original_forward = None
 
 
     def set_script_dir(self, script_dir):
@@ -77,19 +72,7 @@ def inject(self, sd_model, model_name="mm_sd_v15.ckpt"):
         self._load(model_name)
         self.gn32_original_forward = GroupNorm32.forward
         gn32_original_forward = self.gn32_original_forward
-        # self.tes_original_forward = TimestepEmbedSequential.forward
-
-        # def mm_tes_forward(self, x, emb, context=None):
-        #     for layer in self:
-        #         if isinstance(layer, TimestepBlock):
-        #             x = layer(x, emb)
-        #         elif isinstance(layer, (SpatialTransformer, VanillaTemporalModule)):
-        #             x = layer(x, context)
-        #         else:
-        #             x = layer(x)
-        #     return x
-
-        # TimestepEmbedSequential.forward = mm_tes_forward
+
         if self.mm.using_v2:
             logger.info(f"Injecting motion module {model_name} into SD1.5 UNet middle block.")
             unet.middle_block.insert(-1, self.mm.mid_block.motion_modules[0])
@@ -146,7 +129,6 @@ def restore(self, sd_model):
         else:
             logger.info(f"Restoring GroupNorm32 forward function.")
             GroupNorm32.forward = self.gn32_original_forward
-        # TimestepEmbedSequential.forward = self.tes_original_forward
         logger.info(f"Removal finished.")
         if shared.cmd_opts.lowvram:
             self.unload()