Remove useless annotations imports. (#14105)

comfy/comfy_types/node_typing.py

@@ -1,6 +1,5 @@
 """Comfy-specific type hinting"""
 
-from __future__ import annotations
 from typing import Literal, TypedDict, Optional
 from typing_extensions import NotRequired
 from abc import ABC, abstractmethod

comfy/ldm/lightricks/vae/causal_audio_autoencoder.py

@@ -1,4 +1,3 @@
-from __future__ import annotations
 import torch
 from torch import nn
 from torch.nn import functional as F

comfy/ldm/lightricks/vae/causal_video_autoencoder.py

@@ -1,4 +1,3 @@
-from __future__ import annotations
 import threading
 import torch
 from torch import nn

comfy/ldm/lumina/model.py

@@ -1,5 +1,4 @@
 # Code from: https://github.com/Alpha-VLLM/Lumina-Image-2.0/blob/main/models/model.py
-from __future__ import annotations
 
 from typing import List, Optional, Tuple
 

comfy/ldm/moge/geometry.py

@@ -1,6 +1,5 @@
 """Pure-torch + scipy geometry helpers for MoGe inference and mesh export."""
 
-from __future__ import annotations
 
 from typing import Optional, Tuple
 

comfy/ldm/moge/model.py

@@ -4,7 +4,6 @@ V1: DINOv2 backbone + multi-output head (points, mask).
 V2: DINOv2 encoder + neck + per-output heads (points, mask, normal, optional metric-scale MLP).
 """
 
-from __future__ import annotations
 
 from numbers import Number
 from typing import Any, Dict, List, Optional, Tuple, Union

comfy/ldm/moge/modules.py

@@ -1,6 +1,5 @@
 """Building blocks for MoGe: residual conv stack, resamplers, MLP, DINOv2 encoder, v1 head."""
 
-from __future__ import annotations
 
 from typing import List, Optional, Sequence, Tuple, Union
 

comfy/ldm/moge/panorama.py

@@ -6,7 +6,6 @@ equirect distance map via a multi-scale Poisson + gradient sparse solve.
 Image sampling uses F.grid_sample (GPU); the sparse solve uses lsmr (CPU).
 """
 
-from __future__ import annotations
 
 from typing import Callable, List, Optional, Tuple
 

comfy/lora.py

@@ -16,7 +16,6 @@
     along with this program.  If not, see <https://www.gnu.org/licenses/>.
 """
 
-from __future__ import annotations
 import comfy.memory_management
 import comfy.utils
 import comfy.model_management

comfy/patcher_extension.py

@@ -1,4 +1,3 @@
-from __future__ import annotations
 from typing import Callable
 
 class CallbacksMP:

comfy/sd.py

@@ -1,4 +1,3 @@
-from __future__ import annotations
 import json
 import torch
 from enum import Enum