Remove unused imports

comfy/cldm/cldm.py

@@ -2,11 +2,9 @@
 #and modified
 
 import torch
-import torch as th
 import torch.nn as nn
 
 from ..ldm.modules.diffusionmodules.util import (
-    zero_module,
     timestep_embedding,
 )
 

comfy/cldm/dit_embedder.py

@@ -1,10 +1,8 @@
 import math
 from typing import List, Optional, Tuple
 
-import numpy as np
 import torch
 import torch.nn as nn
-from einops import rearrange
 from torch import Tensor
 
 from comfy.ldm.modules.diffusionmodules.mmdit import DismantledBlock, PatchEmbed, VectorEmbedder, TimestepEmbedder, get_2d_sincos_pos_embed_torch

comfy/cldm/mmdit.py

@@ -1,5 +1,5 @@
 import torch
-from typing import Dict, Optional
+from typing import Optional
 import comfy.ldm.modules.diffusionmodules.mmdit
 
 class ControlNet(comfy.ldm.modules.diffusionmodules.mmdit.MMDiT):

comfy/extra_samplers/uni_pc.py

@@ -1,10 +1,9 @@
 #code taken from: https://github.com/wl-zhao/UniPC and modified
 
 import torch
-import torch.nn.functional as F
 import math
 
-from tqdm.auto import trange, tqdm
+from tqdm.auto import trange
 
 
 class NoiseScheduleVP:

comfy/ldm/audio/autoencoder.py

@@ -2,7 +2,7 @@
 
 import torch
 from torch import nn
-from typing import Literal, Dict, Any
+from typing import Literal
 import math
 import comfy.ops
 ops = comfy.ops.disable_weight_init

comfy/ldm/audio/embedders.py

@@ -2,8 +2,8 @@
 
 import torch
 import torch.nn as nn
-from torch import Tensor, einsum
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, TypeVar, Union
+from torch import Tensor
+from typing import List, Union
 from einops import rearrange
 import math
 import comfy.ops

comfy/ldm/cascade/controlnet.py

@@ -16,7 +16,6 @@
     along with this program.  If not, see <https://www.gnu.org/licenses/>.
 """
 
-import torch
 import torchvision
 from torch import nn
 from .common import LayerNorm2d_op

comfy/ldm/flux/controlnet.py

@@ -6,9 +6,7 @@ import math
 from torch import Tensor, nn
 from einops import rearrange, repeat
 
-from .layers import (DoubleStreamBlock, EmbedND, LastLayer,
-                                 MLPEmbedder, SingleStreamBlock,
-                                 timestep_embedding)
+from .layers import (timestep_embedding)
 
 from .model import Flux
 import comfy.ldm.common_dit

comfy/ldm/genmo/joint_model/utils.py

@@ -1,7 +1,7 @@
 #original code from https://github.com/genmoai/models under apache 2.0 license
 #adapted to ComfyUI
 
-from typing import Optional, Tuple
+from typing import Optional
 
 import torch
 import torch.nn as nn

comfy/ldm/genmo/vae/model.py

@@ -1,7 +1,7 @@
 #original code from https://github.com/genmoai/models under apache 2.0 license
 #adapted to ComfyUI
 
-from typing import Callable, List, Optional, Tuple, Union
+from typing import List, Optional, Tuple, Union
 from functools import partial
 import math
 

comfy/ldm/hydit/controlnet.py

@@ -1,24 +1,17 @@
-from typing import Any, Optional
 
 import torch
 import torch.nn as nn
-import torch.nn.functional as F
 
-from torch.utils import checkpoint
 
 from comfy.ldm.modules.diffusionmodules.mmdit import (
-    Mlp,
     TimestepEmbedder,
     PatchEmbed,
-    RMSNorm,
 )
-from comfy.ldm.modules.diffusionmodules.util import timestep_embedding
 from .poolers import AttentionPool
 
 import comfy.latent_formats
 from .models import HunYuanDiTBlock, calc_rope
 
-from .posemb_layers import get_2d_rotary_pos_embed, get_fill_resize_and_crop
 
 
 class HunYuanControlNet(nn.Module):

comfy/ldm/hydit/models.py

@@ -1,8 +1,6 @@
-from typing import Any
 
 import torch
 import torch.nn as nn
-import torch.nn.functional as F
 
 import comfy.ops
 from comfy.ldm.modules.diffusionmodules.mmdit import Mlp, TimestepEmbedder, PatchEmbed, RMSNorm

comfy/ldm/hydit/poolers.py

@@ -1,6 +1,5 @@
 import torch
 import torch.nn as nn
-import torch.nn.functional as F
 from comfy.ldm.modules.attention import optimized_attention
 import comfy.ops
 

comfy/ldm/lightricks/vae/causal_video_autoencoder.py

@@ -3,7 +3,7 @@ from torch import nn
 from functools import partial
 import math
 from einops import rearrange
-from typing import Any, Mapping, Optional, Tuple, Union, List
+from typing import Optional, Tuple, Union
 from .conv_nd_factory import make_conv_nd, make_linear_nd
 from .pixel_norm import PixelNorm
 

comfy/ldm/lightricks/vae/conv_nd_factory.py

@@ -1,6 +1,5 @@
 from typing import Tuple, Union
 
-import torch
 
 from .dual_conv3d import DualConv3d
 from .causal_conv3d import CausalConv3d

comfy/ldm/models/autoencoder.py

@@ -1,6 +1,6 @@
 import torch
 from contextlib import contextmanager
-from typing import Any, Dict, List, Optional, Tuple, Union
+from typing import Any, Dict, Tuple, Union
 
 from comfy.ldm.modules.distributions.distributions import DiagonalGaussianDistribution
 

comfy/ldm/modules/diffusionmodules/mmdit.py

@@ -1,5 +1,3 @@
-import logging
-import math
 from typing import Dict, Optional, List
 
 import numpy as np

comfy/ldm/modules/diffusionmodules/model.py

@@ -3,7 +3,6 @@ import math
 import torch
 import torch.nn as nn
 import numpy as np
-from typing import Optional, Any
 import logging
 
 from comfy import model_management

comfy/ldm/modules/diffusionmodules/openaimodel.py

@@ -9,7 +9,6 @@ import logging
 from .util import (
     checkpoint,
     avg_pool_nd,
-    zero_module,
     timestep_embedding,
     AlphaBlender,
 )

comfy/ldm/modules/diffusionmodules/upscaling.py

@@ -4,7 +4,6 @@ import numpy as np
 from functools import partial
 
 from .util import extract_into_tensor, make_beta_schedule
-from comfy.ldm.util import default
 
 
 class AbstractLowScaleModel(nn.Module):

comfy/ldm/modules/diffusionmodules/util.py

@@ -8,7 +8,6 @@
 # thanks!
 
 
-import os
 import math
 import torch
 import torch.nn as nn

comfy/ldm/modules/temporal_ae.py

@@ -1,5 +1,5 @@
 import functools
-from typing import Callable, Iterable, Union
+from typing import Iterable, Union
 
 import torch
 from einops import rearrange, repeat

comfy/sampler_helpers.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 import uuid
-import torch
 import comfy.model_management
 import comfy.conds
 import comfy.utils

comfy/text_encoders/spiece_tokenizer.py

@@ -1,4 +1,3 @@
-import os
 import torch
 
 class SPieceTokenizer:

comfy_extras/nodes_advanced_samplers.py

@@ -2,8 +2,7 @@ import comfy.samplers
 import comfy.utils
 import torch
 import numpy as np
-from tqdm.auto import trange, tqdm
-import math
+from tqdm.auto import trange
 
 
 @torch.no_grad()

comfy_extras/nodes_clip_sdxl.py

@@ -1,4 +1,3 @@
-import torch
 from nodes import MAX_RESOLUTION
 
 class CLIPTextEncodeSDXLRefiner:

comfy_extras/nodes_compositing.py

@@ -1,4 +1,3 @@
-import numpy as np
 import torch
 import comfy.utils
 from enum import Enum

comfy_extras/nodes_hooks.py

@@ -4,7 +4,6 @@ import torch
 from collections.abc import Iterable
 
 if TYPE_CHECKING:
-    from comfy.model_patcher import ModelPatcher
     from comfy.sd import CLIP
 
 import comfy.hooks

comfy_extras/nodes_model_advanced.py

@@ -1,4 +1,3 @@
-import folder_paths
 import comfy.sd
 import comfy.model_sampling
 import comfy.latent_formats

comfy_extras/nodes_model_downscale.py

@@ -1,4 +1,3 @@
-import torch
 import comfy.utils
 
 class PatchModelAddDownscale:

comfy_extras/nodes_upscale_model.py

@@ -1,4 +1,3 @@
-import os
 import logging
 from spandrel import ModelLoader, ImageModelDescriptor
 from comfy import model_management

custom_nodes/websocket_image_save.py

@@ -1,7 +1,5 @@
-from PIL import Image, ImageOps
-from io import BytesIO
+from PIL import Image
 import numpy as np
-import struct
 import comfy.utils
 import time
 

execution.py

@@ -17,7 +17,6 @@ from comfy_execution.graph import get_input_info, ExecutionList, DynamicPrompt,
 from comfy_execution.graph_utils import is_link, GraphBuilder
 from comfy_execution.caching import HierarchicalCache, LRUCache, CacheKeySetInputSignature, CacheKeySetID
 from comfy_execution.validation import validate_node_input
-from comfy.cli_args import args
 
 class ExecutionResult(Enum):
     SUCCESS = 0

folder_paths.py

@@ -4,7 +4,7 @@ import os
 import time
 import mimetypes
 import logging
-from typing import Set, List, Dict, Tuple, Literal
+from typing import Literal
 from collections.abc import Collection
 
 supported_pt_extensions: set[str] = {'.ckpt', '.pt', '.bin', '.pth', '.safetensors', '.pkl', '.sft'}
@@ -133,7 +133,7 @@ def get_directory_by_type(type_name: str) -> str | None:
         return get_input_directory()
     return None
 
-def filter_files_content_types(files: List[str], content_types: Literal["image", "video", "audio"]) -> List[str]:
+def filter_files_content_types(files: list[str], content_types: Literal["image", "video", "audio"]) -> list[str]:
     """
     Example:
         files = os.listdir(folder_paths.get_input_directory())

latent_preview.py

@@ -1,7 +1,5 @@
 import torch
 from PIL import Image
-import struct
-import numpy as np
 from comfy.cli_args import args, LatentPreviewMethod
 from comfy.taesd.taesd import TAESD
 import comfy.model_management

main.py

@@ -87,7 +87,7 @@ if __name__ == "__main__":
 
 if args.windows_standalone_build:
     try:
-        import fix_torch
+        pass
     except:
         pass
 

script_examples/basic_api_example.py

@@ -1,6 +1,5 @@
 import json
-from urllib import request, parse
-import random
+from urllib import request
 
 #This is the ComfyUI api prompt format.
 

styles/default.csv

@@ -1,3 +0,0 @@
-name,prompt,negative_prompt
-❌Low Token,,"embedding:EasyNegative, NSFW, Cleavage, Pubic Hair, Nudity, Naked, censored"
-✅Line Art / Manga,"(Anime Scene, Toonshading, Satoshi Kon, Ken Sugimori, Hiromu Arakawa:1.2), (Anime Style, Manga Style:1.3), Low detail, sketch, concept art, line art, webtoon, manhua, hand drawn, defined lines, simple shades, minimalistic, High contrast, Linear compositions, Scalable artwork, Digital art, High Contrast Shadows, glow effects, humorous illustration, big depth of field, Masterpiece, colors, concept art, trending on artstation, Vivid colors, dramatic",

tests/inference/test_inference.py

@@ -1,6 +1,5 @@
 from copy import deepcopy
 from io import BytesIO
-from urllib import request
 import numpy
 import os
 from PIL import Image