Remove some unused imports.

comfy/ldm/cascade/stage_b.py

@@ -17,7 +17,6 @@
 """
 
 import math
-import numpy as np
 import torch
 from torch import nn
 from .common import AttnBlock, LayerNorm2d_op, ResBlock, FeedForwardBlock, TimestepBlock

comfy/ldm/cascade/stage_c.py

@@ -18,7 +18,6 @@
 
 import torch
 from torch import nn
-import numpy as np
 import math
 from .common import AttnBlock, LayerNorm2d_op, ResBlock, FeedForwardBlock, TimestepBlock
 # from .controlnet import ControlNetDeliverer

comfy/ldm/models/autoencoder.py

@@ -1,6 +1,4 @@
 import torch
-# import pytorch_lightning as pl
-import torch.nn.functional as F
 from contextlib import contextmanager
 from typing import Any, Dict, List, Optional, Tuple, Union
 

comfy/ldm/modules/attention.py

@@ -3,7 +3,7 @@ import torch
 import torch.nn.functional as F
 from torch import nn, einsum
 from einops import rearrange, repeat
-from typing import Optional, Any
+from typing import Optional
 import logging
 
 from .diffusionmodules.util import AlphaBlender, timestep_embedding

comfy/model_management.py

@@ -2,7 +2,6 @@ import psutil
 import logging
 from enum import Enum
 from comfy.cli_args import args
-import comfy.utils
 import torch
 import sys
 import platform

comfy/sd.py

@@ -14,7 +14,6 @@ import comfy.utils
 from . import clip_vision
 from . import gligen
 from . import diffusers_convert
-from . import model_base
 from . import model_detection
 
 from . import sd1_clip

comfy/sd2_clip.py

@@ -1,5 +1,4 @@
 from comfy import sd1_clip
-import torch
 import os
 
 class SD2ClipHModel(sd1_clip.SDClipModel):

comfy_extras/nodes_canny.py

@@ -1,10 +1,5 @@
-import math
-
-import torch
-import torch.nn.functional as F
-import comfy.model_management
-
 from kornia.filters import canny
+import comfy.model_management
 
 
 class Canny:

comfy_extras/nodes_sag.py

@@ -4,7 +4,6 @@ import torch.nn.functional as F
 import math
 
 from einops import rearrange, repeat
-import os
 from comfy.ldm.modules.attention import optimized_attention
 import comfy.samplers
 

comfy_extras/nodes_sdupscale.py

@@ -1,5 +1,4 @@
 import torch
-import nodes
 import comfy.utils
 
 class SD_4XUpscale_Conditioning: