diff --git a/.github/workflows/core_code_checks.yml b/.github/workflows/core_code_checks.yml
index 86ff5ccca..62128edff 100644
--- a/.github/workflows/core_code_checks.yml
+++ b/.github/workflows/core_code_checks.yml
@@ -15,10 +15,10 @@ jobs:
 
     steps:
       - uses: actions/checkout@v3
-      - name: Set up Python 3.7.13
+      - name: Set up Python 3.8.13
         uses: actions/setup-python@v4
         with:
-          python-version: '3.7.13'
+          python-version: '3.8.13'
       - uses: actions/cache@v2
         with:
           path: ${{ env.pythonLocation }}
diff --git a/README.md b/README.md
index 4673677fb..a22e281e6 100644
--- a/README.md
+++ b/README.md
@@ -87,7 +87,7 @@ You must have an NVIDIA video card with CUDA installed on the system. This libra
 
 ### Create environment
 
-Nerfstudio requires `python >= 3.7`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.
+Nerfstudio requires `python >= 3.8`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.
 
 ```bash
 conda create --name nerfstudio -y python=3.8
diff --git a/docs/quickstart/installation.md b/docs/quickstart/installation.md
index dafb9f0ee..58f9ffe1d 100644
--- a/docs/quickstart/installation.md
+++ b/docs/quickstart/installation.md
@@ -33,7 +33,7 @@ Install CUDA 11.7. You can find CUDA download links [here](https://developer.nvi
 
 ## Create environment
 
-Nerfstudio requires `python >= 3.7`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.
+Nerfstudio requires `python >= 3.8`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.
 
 ```bash
 conda create --name nerfstudio -y python=3.8
diff --git a/nerfstudio/cameras/camera_optimizers.py b/nerfstudio/cameras/camera_optimizers.py
index afd002a71..4b37f2072 100644
--- a/nerfstudio/cameras/camera_optimizers.py
+++ b/nerfstudio/cameras/camera_optimizers.py
@@ -20,13 +20,13 @@ from __future__ import annotations
 
 import functools
 from dataclasses import dataclass, field
-from typing import Type, Union
+from typing import Literal, Type, Union
 
 import torch
 import tyro
 from torch import nn
 from torchtyping import TensorType
-from typing_extensions import Literal, assert_never
+from typing_extensions import assert_never
 
 from nerfstudio.cameras.lie_groups import exp_map_SE3, exp_map_SO3xR3
 from nerfstudio.configs.base_config import InstantiateConfig
diff --git a/nerfstudio/cameras/camera_utils.py b/nerfstudio/cameras/camera_utils.py
index 8486f1097..7c2364929 100644
--- a/nerfstudio/cameras/camera_utils.py
+++ b/nerfstudio/cameras/camera_utils.py
@@ -17,13 +17,12 @@ Camera transformation helper code.
 """
 
 import math
-from typing import List, Optional, Tuple
+from typing import List, Literal, Optional, Tuple
 
 import numpy as np
 import torch
 from numpy.typing import ArrayLike
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 _EPS = np.finfo(float).eps * 4.0
 
diff --git a/nerfstudio/configs/base_config.py b/nerfstudio/configs/base_config.py
index 5731091ac..2a76c325c 100644
--- a/nerfstudio/configs/base_config.py
+++ b/nerfstudio/configs/base_config.py
@@ -21,9 +21,7 @@ from __future__ import annotations
 import warnings
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, List, Optional, Tuple, Type
-
-from typing_extensions import Literal
+from typing import Any, List, Literal, Optional, Tuple, Type
 
 # model instances
 from nerfstudio.utils import writer
diff --git a/nerfstudio/configs/config_utils.py b/nerfstudio/configs/config_utils.py
index 59b1b252b..42bf7a082 100644
--- a/nerfstudio/configs/config_utils.py
+++ b/nerfstudio/configs/config_utils.py
@@ -26,6 +26,7 @@ from rich.console import Console
 CONSOLE = Console()
 # pylint: disable=import-outside-toplevel
 
+
 # cannot use mutable types directly within dataclass; abstracting default factory calls
 def to_immutable_dict(d: Dict[str, Any]):
     """Method to convert mutable dict to default factory dict
diff --git a/nerfstudio/configs/experiment_config.py b/nerfstudio/configs/experiment_config.py
index c0da16fef..8e9669a47 100644
--- a/nerfstudio/configs/experiment_config.py
+++ b/nerfstudio/configs/experiment_config.py
@@ -19,11 +19,10 @@ from __future__ import annotations
 from dataclasses import dataclass
 from datetime import datetime
 from pathlib import Path
-from typing import Any, Dict, Optional
+from typing import Any, Dict, Literal, Optional
 
 import yaml
 from rich.console import Console
-from typing_extensions import Literal
 
 from nerfstudio.configs.base_config import (
     InstantiateConfig,
diff --git a/nerfstudio/data/datamanagers/base_datamanager.py b/nerfstudio/data/datamanagers/base_datamanager.py
index 0c495139e..0167ff7fb 100644
--- a/nerfstudio/data/datamanagers/base_datamanager.py
+++ b/nerfstudio/data/datamanagers/base_datamanager.py
@@ -22,7 +22,7 @@ import functools
 from abc import abstractmethod
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Any, Dict, Generic, List, Optional, Tuple, Type, Union
+from typing import Any, Dict, Generic, List, Literal, Optional, Tuple, Type, Union
 
 import torch
 import tyro
@@ -31,7 +31,7 @@ from torch import nn
 from torch.nn import Parameter
 from torch.utils.data import Dataset
 from torch.utils.data.distributed import DistributedSampler
-from typing_extensions import Literal, TypeVar
+from typing_extensions import TypeVar
 
 from nerfstudio.cameras.camera_optimizers import CameraOptimizerConfig
 from nerfstudio.cameras.cameras import CameraType
diff --git a/nerfstudio/data/dataparsers/arkitscenes_dataparser.py b/nerfstudio/data/dataparsers/arkitscenes_dataparser.py
index a92745bc6..0ee105196 100644
--- a/nerfstudio/data/dataparsers/arkitscenes_dataparser.py
+++ b/nerfstudio/data/dataparsers/arkitscenes_dataparser.py
@@ -16,12 +16,11 @@
 import math
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Type
+from typing import Literal, Type
 
 import cv2
 import numpy as np
 import torch
-from typing_extensions import Literal
 
 from nerfstudio.cameras import camera_utils
 from nerfstudio.cameras.cameras import Cameras, CameraType
diff --git a/nerfstudio/data/dataparsers/base_dataparser.py b/nerfstudio/data/dataparsers/base_dataparser.py
index f92b34172..74d934ced 100644
--- a/nerfstudio/data/dataparsers/base_dataparser.py
+++ b/nerfstudio/data/dataparsers/base_dataparser.py
@@ -20,11 +20,10 @@ import json
 from abc import abstractmethod
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Type
+from typing import Any, Dict, List, Literal, Optional, Type
 
 import torch
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 import nerfstudio.configs.base_config as cfg
 from nerfstudio.cameras.cameras import Cameras
diff --git a/nerfstudio/data/dataparsers/nerfosr_dataparser.py b/nerfstudio/data/dataparsers/nerfosr_dataparser.py
index f7b84b261..97f430e1a 100644
--- a/nerfstudio/data/dataparsers/nerfosr_dataparser.py
+++ b/nerfstudio/data/dataparsers/nerfosr_dataparser.py
@@ -23,12 +23,11 @@ import glob
 import os
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import List, Tuple, Type
+from typing import List, Literal, Tuple, Type
 
 import numpy as np
 import torch
 from rich.console import Console
-from typing_extensions import Literal
 
 from nerfstudio.cameras import camera_utils
 from nerfstudio.cameras.cameras import Cameras, CameraType
diff --git a/nerfstudio/data/dataparsers/nerfstudio_dataparser.py b/nerfstudio/data/dataparsers/nerfstudio_dataparser.py
index 7b283d747..d1f19c7fc 100644
--- a/nerfstudio/data/dataparsers/nerfstudio_dataparser.py
+++ b/nerfstudio/data/dataparsers/nerfstudio_dataparser.py
@@ -18,13 +18,12 @@ from __future__ import annotations
 import math
 from dataclasses import dataclass, field
 from pathlib import Path, PurePath
-from typing import Optional, Type
+from typing import Literal, Optional, Type
 
 import numpy as np
 import torch
 from PIL import Image
 from rich.console import Console
-from typing_extensions import Literal
 
 from nerfstudio.cameras import camera_utils
 from nerfstudio.cameras.cameras import CAMERA_MODEL_TO_TYPE, Cameras, CameraType
diff --git a/nerfstudio/data/dataparsers/nuscenes_dataparser.py b/nerfstudio/data/dataparsers/nuscenes_dataparser.py
index 6b35cf356..ddf15dc8b 100644
--- a/nerfstudio/data/dataparsers/nuscenes_dataparser.py
+++ b/nerfstudio/data/dataparsers/nuscenes_dataparser.py
@@ -17,13 +17,12 @@ import math
 import os
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Optional, Tuple, Type
+from typing import Literal, Optional, Tuple, Type
 
 import numpy as np
 import pyquaternion
 import torch
 from nuscenes.nuscenes import NuScenes as NuScenesDatabase
-from typing_extensions import Literal
 
 from nerfstudio.cameras.cameras import Cameras, CameraType
 from nerfstudio.data.dataparsers.base_dataparser import (
diff --git a/nerfstudio/data/dataparsers/phototourism_dataparser.py b/nerfstudio/data/dataparsers/phototourism_dataparser.py
index d470215ed..8b6049c64 100644
--- a/nerfstudio/data/dataparsers/phototourism_dataparser.py
+++ b/nerfstudio/data/dataparsers/phototourism_dataparser.py
@@ -18,12 +18,11 @@ from __future__ import annotations
 import math
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Type
+from typing import Literal, Type
 
 import numpy as np
 import torch
 from rich.progress import Console
-from typing_extensions import Literal
 
 from nerfstudio.cameras import camera_utils
 from nerfstudio.cameras.cameras import Cameras, CameraType
diff --git a/nerfstudio/data/dataparsers/scannet_dataparser.py b/nerfstudio/data/dataparsers/scannet_dataparser.py
index 5d2702f18..fb863073e 100644
--- a/nerfstudio/data/dataparsers/scannet_dataparser.py
+++ b/nerfstudio/data/dataparsers/scannet_dataparser.py
@@ -16,12 +16,11 @@
 import math
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Type
+from typing import Literal, Type
 
 import cv2
 import numpy as np
 import torch
-from typing_extensions import Literal
 
 from nerfstudio.cameras import camera_utils
 from nerfstudio.cameras.cameras import Cameras, CameraType
diff --git a/nerfstudio/data/dataparsers/sitcoms3d_dataparser.py b/nerfstudio/data/dataparsers/sitcoms3d_dataparser.py
index b6906ce22..6dfc8896b 100644
--- a/nerfstudio/data/dataparsers/sitcoms3d_dataparser.py
+++ b/nerfstudio/data/dataparsers/sitcoms3d_dataparser.py
@@ -65,7 +65,6 @@ class Sitcoms3D(DataParser):
     config: Sitcoms3DDataParserConfig
 
     def _generate_dataparser_outputs(self, split="train"):  # pylint: disable=unused-argument,too-many-statements
-
         cameras_json = load_from_json(self.config.data / "cameras.json")
         frames = cameras_json["frames"]
         bbox = torch.tensor(cameras_json["bbox"])
diff --git a/nerfstudio/data/pixel_samplers.py b/nerfstudio/data/pixel_samplers.py
index f3a9bc2f7..74374f381 100644
--- a/nerfstudio/data/pixel_samplers.py
+++ b/nerfstudio/data/pixel_samplers.py
@@ -137,7 +137,6 @@ class PixelSampler:  # pylint: disable=too-few-public-methods
         if "mask" in batch:
             num_rays_in_batch = num_rays_per_batch // num_images
             for i in range(num_images):
-
                 image_height, image_width, _ = batch["image"][i].shape
 
                 if i == num_images - 1:
@@ -222,7 +221,6 @@ class EquirectangularPixelSampler(PixelSampler):  # pylint: disable=too-few-publ
         mask: Optional[TensorType] = None,
         device: Union[torch.device, str] = "cpu",
     ) -> TensorType["batch_size", 3]:
-
         if isinstance(mask, torch.Tensor):
             # Note: if there is a mask, sampling reduces back to uniform sampling, which gives more
             # sampling weight to the poles of the image than the equators.
@@ -230,7 +228,6 @@ class EquirectangularPixelSampler(PixelSampler):  # pylint: disable=too-few-publ
 
             indices = super().sample_method(batch_size, num_images, image_height, image_width, mask=mask, device=device)
         else:
-
             # We sample theta uniformly in [0, 2*pi]
             # We sample phi in [0, pi] according to the PDF f(phi) = sin(phi) / 2.
             # This is done by inverse transform sampling.
@@ -280,7 +277,6 @@ class PatchPixelSampler(PixelSampler):  # pylint: disable=too-few-public-methods
         mask: Optional[TensorType] = None,
         device: Union[torch.device, str] = "cpu",
     ) -> TensorType["batch_size", 3]:
-
         if mask:
             # Note: if there is a mask, sampling reduces back to uniform sampling
             indices = super().sample_method(batch_size, num_images, image_height, image_width, mask=mask, device=device)
diff --git a/nerfstudio/engine/schedulers.py b/nerfstudio/engine/schedulers.py
index 301d9eb5f..68a459389 100644
--- a/nerfstudio/engine/schedulers.py
+++ b/nerfstudio/engine/schedulers.py
@@ -18,11 +18,10 @@
 
 from abc import abstractmethod
 from dataclasses import dataclass, field
-from typing import Optional, Tuple, Type
+from typing import Literal, Optional, Tuple, Type
 
 import numpy as np
 from torch.optim import Optimizer, lr_scheduler
-from typing_extensions import Literal
 
 from nerfstudio.configs.base_config import InstantiateConfig
 
diff --git a/nerfstudio/engine/trainer.py b/nerfstudio/engine/trainer.py
index 5680bddbe..1c3ed3ad2 100644
--- a/nerfstudio/engine/trainer.py
+++ b/nerfstudio/engine/trainer.py
@@ -24,7 +24,7 @@ import time
 from dataclasses import dataclass, field
 from pathlib import Path
 from threading import Lock
-from typing import Dict, List, Optional, Tuple, Type, Union
+from typing import Dict, List, Literal, Optional, Tuple, Type, Union
 
 import torch
 from rich import box, style
@@ -32,7 +32,6 @@ from rich.console import Console
 from rich.panel import Panel
 from rich.table import Table
 from torch.cuda.amp.grad_scaler import GradScaler
-from typing_extensions import Literal
 
 from nerfstudio.configs.experiment_config import ExperimentConfig
 from nerfstudio.engine.callbacks import (
diff --git a/nerfstudio/exporter/marching_cubes.py b/nerfstudio/exporter/marching_cubes.py
index 03cd7da86..a88dc9017 100644
--- a/nerfstudio/exporter/marching_cubes.py
+++ b/nerfstudio/exporter/marching_cubes.py
@@ -76,7 +76,6 @@ def evaluate_multiresolution_sdf(
     x_min: float,
     crop_n: int,
 ) -> TensorType["batch"]:
-
     """
     Evaluate SDF values using a multi-resolution approach with a given point pyramid.
 
diff --git a/nerfstudio/exporter/texture_utils.py b/nerfstudio/exporter/texture_utils.py
index d7e08c669..9c0bb0ee0 100644
--- a/nerfstudio/exporter/texture_utils.py
+++ b/nerfstudio/exporter/texture_utils.py
@@ -22,7 +22,7 @@ from __future__ import annotations
 
 import math
 from pathlib import Path
-from typing import Optional, Tuple, Union
+from typing import Literal, Optional, Tuple, Union
 
 import mediapy as media
 import numpy as np
@@ -30,7 +30,6 @@ import torch
 import xatlas
 from rich.console import Console
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.exporter.exporter_utils import Mesh
diff --git a/nerfstudio/field_components/encodings.py b/nerfstudio/field_components/encodings.py
index ac7cf2aa1..21dacbd0e 100644
--- a/nerfstudio/field_components/encodings.py
+++ b/nerfstudio/field_components/encodings.py
@@ -18,14 +18,13 @@ Encoding functions
 
 import itertools
 from abc import abstractmethod
-from typing import Optional, Sequence
+from typing import Literal, Optional, Sequence
 
 import numpy as np
 import torch
 import torch.nn.functional as F
 from torch import nn
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 from nerfstudio.field_components.base_field_component import FieldComponent
 from nerfstudio.utils.math import components_from_spherical_harmonics, expected_sin
diff --git a/nerfstudio/field_components/field_heads.py b/nerfstudio/field_components/field_heads.py
index 6fffb5111..da4e75185 100644
--- a/nerfstudio/field_components/field_heads.py
+++ b/nerfstudio/field_components/field_heads.py
@@ -59,7 +59,6 @@ class FieldHead(FieldComponent):
         in_dim: Optional[int] = None,
         activation: Optional[Union[nn.Module, Callable]] = None,
     ) -> None:
-
         super().__init__()
         self.out_dim = out_dim
         self.activation = activation
@@ -131,7 +130,6 @@ class SHFieldHead(FieldHead):
     def __init__(
         self, in_dim: Optional[int] = None, levels: int = 3, channels: int = 3, activation: Optional[nn.Module] = None
     ) -> None:
-
         out_dim = channels * levels**2
         super().__init__(in_dim=in_dim, out_dim=out_dim, field_head_name=FieldHeadNames.SH, activation=activation)
 
diff --git a/nerfstudio/field_components/mlp.py b/nerfstudio/field_components/mlp.py
index 545f32564..8cc5a73b6 100644
--- a/nerfstudio/field_components/mlp.py
+++ b/nerfstudio/field_components/mlp.py
@@ -46,7 +46,6 @@ class MLP(FieldComponent):
         activation: Optional[nn.Module] = nn.ReLU(),
         out_activation: Optional[nn.Module] = None,
     ) -> None:
-
         super().__init__()
         self.in_dim = in_dim
         assert self.in_dim > 0
diff --git a/nerfstudio/fields/sdf_field.py b/nerfstudio/fields/sdf_field.py
index 89274224f..72244a759 100644
--- a/nerfstudio/fields/sdf_field.py
+++ b/nerfstudio/fields/sdf_field.py
@@ -18,7 +18,7 @@ a signed distance function (SDF) for surface representation is used to help with
 """
 
 from dataclasses import dataclass, field
-from typing import Dict, Optional, Type
+from typing import Dict, Literal, Optional, Type
 
 import numpy as np
 import torch
@@ -26,7 +26,6 @@ import torch.nn.functional as F
 from torch import nn
 from torch.nn.parameter import Parameter
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RaySamples
 from nerfstudio.field_components.embedding import Embedding
diff --git a/nerfstudio/model_components/losses.py b/nerfstudio/model_components/losses.py
index d2db011d3..68f11bcc4 100644
--- a/nerfstudio/model_components/losses.py
+++ b/nerfstudio/model_components/losses.py
@@ -16,11 +16,11 @@
 Collection of Losses.
 """
 from enum import Enum
+from typing import Literal
 
 import torch
 from torch import nn
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RaySamples
 from nerfstudio.utils.math import masked_reduction, normalized_depth_scale_and_shift
diff --git a/nerfstudio/model_components/ray_samplers.py b/nerfstudio/model_components/ray_samplers.py
index 7b7219f15..8112810e6 100644
--- a/nerfstudio/model_components/ray_samplers.py
+++ b/nerfstudio/model_components/ray_samplers.py
@@ -384,7 +384,6 @@ class VolumetricSampler(Sampler):
         occupancy_grid: OccGridEstimator,
         density_fn: Optional[Callable[[TensorType[..., 3]], TensorType[..., 1]]] = None,
     ) -> None:
-
         super().__init__()
         assert occupancy_grid is not None
         self.density_fn = density_fn
@@ -651,7 +650,6 @@ class NeuSSampler(Sampler):
         base_variance = self.base_variance
 
         while total_iters < self.num_upsample_steps:
-
             with torch.no_grad():
                 new_sdf = sdf_fn(new_samples)
 
diff --git a/nerfstudio/model_components/renderers.py b/nerfstudio/model_components/renderers.py
index 5bc4be9b1..5deafad74 100644
--- a/nerfstudio/model_components/renderers.py
+++ b/nerfstudio/model_components/renderers.py
@@ -28,13 +28,12 @@ Example:
 """
 import contextlib
 import math
-from typing import Generator, Optional, Union
+from typing import Generator, Literal, Optional, Union
 
 import nerfacc
 import torch
 from torch import nn
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RaySamples
 from nerfstudio.utils import colors
diff --git a/nerfstudio/models/base_surface_model.py b/nerfstudio/models/base_surface_model.py
index c83a07032..857f712ee 100644
--- a/nerfstudio/models/base_surface_model.py
+++ b/nerfstudio/models/base_surface_model.py
@@ -20,7 +20,7 @@ from __future__ import annotations
 
 from abc import abstractmethod
 from dataclasses import dataclass, field
-from typing import Dict, List, Tuple, Type
+from typing import Dict, List, Literal, Tuple, Type
 
 import torch
 import torch.nn.functional as F
@@ -28,7 +28,6 @@ from torch.nn import Parameter
 from torchmetrics import PeakSignalNoiseRatio
 from torchmetrics.functional import structural_similarity_index_measure
 from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.field_components.encodings import NeRFEncoding
diff --git a/nerfstudio/models/instant_ngp.py b/nerfstudio/models/instant_ngp.py
index d8119db5c..f9e89cec3 100644
--- a/nerfstudio/models/instant_ngp.py
+++ b/nerfstudio/models/instant_ngp.py
@@ -19,7 +19,7 @@ Implementation of Instant NGP.
 from __future__ import annotations
 
 from dataclasses import dataclass, field
-from typing import Dict, List, Optional, Tuple, Type
+from typing import Dict, List, Literal, Optional, Tuple, Type
 
 import nerfacc
 import torch
@@ -27,7 +27,6 @@ from torch.nn import Parameter
 from torchmetrics import PeakSignalNoiseRatio
 from torchmetrics.functional import structural_similarity_index_measure
 from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.engine.callbacks import (
@@ -233,7 +232,6 @@ class NGPModel(Model):
     def get_image_metrics_and_images(
         self, outputs: Dict[str, torch.Tensor], batch: Dict[str, torch.Tensor]
     ) -> Tuple[Dict[str, float], Dict[str, torch.Tensor]]:
-
         image = batch["image"].to(self.device)
         rgb = outputs["rgb"]
         acc = colormaps.apply_colormap(outputs["accumulation"])
diff --git a/nerfstudio/models/mipnerf.py b/nerfstudio/models/mipnerf.py
index 31a337d02..0fae0bdac 100644
--- a/nerfstudio/models/mipnerf.py
+++ b/nerfstudio/models/mipnerf.py
@@ -96,7 +96,6 @@ class MipNerfModel(Model):
         return param_groups
 
     def get_outputs(self, ray_bundle: RayBundle):
-
         if self.field is None:
             raise ValueError("populate_fields() must be called before get_outputs")
 
diff --git a/nerfstudio/models/nerfacto.py b/nerfstudio/models/nerfacto.py
index 53173640a..0a7583ebe 100644
--- a/nerfstudio/models/nerfacto.py
+++ b/nerfstudio/models/nerfacto.py
@@ -19,7 +19,7 @@ NeRF implementation that combines many recent advancements.
 from __future__ import annotations
 
 from dataclasses import dataclass, field
-from typing import Dict, List, Tuple, Type
+from typing import Dict, List, Literal, Tuple, Type
 
 import numpy as np
 import torch
@@ -27,7 +27,6 @@ from torch.nn import Parameter
 from torchmetrics import PeakSignalNoiseRatio
 from torchmetrics.functional import structural_similarity_index_measure
 from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.engine.callbacks import (
diff --git a/nerfstudio/models/nerfplayer_nerfacto.py b/nerfstudio/models/nerfplayer_nerfacto.py
index e10b3cad2..245d3bac2 100644
--- a/nerfstudio/models/nerfplayer_nerfacto.py
+++ b/nerfstudio/models/nerfplayer_nerfacto.py
@@ -20,14 +20,13 @@ from __future__ import annotations
 
 import functools
 from dataclasses import dataclass, field
-from typing import Dict, List, Type
+from typing import Dict, List, Literal, Type
 
 import numpy as np
 import torch
 from torchmetrics import PeakSignalNoiseRatio
 from torchmetrics.functional import structural_similarity_index_measure
 from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.field_components.field_heads import FieldHeadNames
diff --git a/nerfstudio/models/nerfplayer_ngp.py b/nerfstudio/models/nerfplayer_ngp.py
index 4f884674f..59390d908 100644
--- a/nerfstudio/models/nerfplayer_ngp.py
+++ b/nerfstudio/models/nerfplayer_ngp.py
@@ -19,7 +19,7 @@ Implementation of NeRFPlayer (https://arxiv.org/abs/2210.15947) with InstantNGP
 from __future__ import annotations
 
 from dataclasses import dataclass, field
-from typing import List, Type
+from typing import List, Literal, Type
 
 import nerfacc
 import torch
@@ -27,7 +27,6 @@ from torch.nn import Parameter
 from torchmetrics import PeakSignalNoiseRatio
 from torchmetrics.functional import structural_similarity_index_measure
 from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.engine.callbacks import (
diff --git a/nerfstudio/models/semantic_nerfw.py b/nerfstudio/models/semantic_nerfw.py
index 4324e1eeb..c36b2d21c 100644
--- a/nerfstudio/models/semantic_nerfw.py
+++ b/nerfstudio/models/semantic_nerfw.py
@@ -258,7 +258,6 @@ class SemanticNerfWModel(Model):
     def get_image_metrics_and_images(
         self, outputs: Dict[str, torch.Tensor], batch: Dict[str, torch.Tensor]
     ) -> Tuple[Dict[str, float], Dict[str, torch.Tensor]]:
-
         image = batch["image"].to(self.device)
         rgb = outputs["rgb"]
         rgb = torch.clamp(rgb, min=0, max=1)
diff --git a/nerfstudio/models/tensorf.py b/nerfstudio/models/tensorf.py
index 0a988b111..f94f2ca58 100644
--- a/nerfstudio/models/tensorf.py
+++ b/nerfstudio/models/tensorf.py
@@ -19,7 +19,7 @@ TensorRF implementation.
 from __future__ import annotations
 
 from dataclasses import dataclass, field
-from typing import Dict, List, Tuple, Type
+from typing import Dict, List, Literal, Tuple, Type
 
 import numpy as np
 import torch
@@ -27,7 +27,6 @@ from torch.nn import Parameter
 from torchmetrics import PeakSignalNoiseRatio
 from torchmetrics.functional import structural_similarity_index_measure
 from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
-from typing_extensions import Literal
 
 from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.configs.config_utils import to_immutable_dict
diff --git a/nerfstudio/models/vanilla_nerf.py b/nerfstudio/models/vanilla_nerf.py
index b69a35358..e9c74e93d 100644
--- a/nerfstudio/models/vanilla_nerf.py
+++ b/nerfstudio/models/vanilla_nerf.py
@@ -135,7 +135,6 @@ class NeRFModel(Model):
         return param_groups
 
     def get_outputs(self, ray_bundle: RayBundle):
-
         if self.field_coarse is None or self.field_fine is None:
             raise ValueError("populate_fields() must be called before get_outputs")
 
diff --git a/nerfstudio/pipelines/base_pipeline.py b/nerfstudio/pipelines/base_pipeline.py
index c572bebeb..d1daa348d 100644
--- a/nerfstudio/pipelines/base_pipeline.py
+++ b/nerfstudio/pipelines/base_pipeline.py
@@ -21,7 +21,7 @@ import typing
 from abc import abstractmethod
 from dataclasses import dataclass, field
 from time import time
-from typing import Any, Dict, List, Mapping, Optional, Type, Union, cast
+from typing import Any, Dict, List, Literal, Mapping, Optional, Type, Union, cast
 
 import torch
 import torch.distributed as dist
@@ -35,7 +35,6 @@ from rich.progress import (
 from torch import nn
 from torch.nn import Parameter
 from torch.nn.parallel import DistributedDataParallel as DDP
-from typing_extensions import Literal
 
 from nerfstudio.configs import base_config as cfg
 from nerfstudio.data.datamanagers.base_datamanager import (
diff --git a/nerfstudio/pipelines/dynamic_batch.py b/nerfstudio/pipelines/dynamic_batch.py
index 293ea1706..1b722571a 100644
--- a/nerfstudio/pipelines/dynamic_batch.py
+++ b/nerfstudio/pipelines/dynamic_batch.py
@@ -17,10 +17,9 @@ A pipeline that dynamically chooses the number of rays to sample.
 """
 
 from dataclasses import dataclass, field
-from typing import Type
+from typing import Literal, Type
 
 import torch
-from typing_extensions import Literal
 
 from nerfstudio.data.datamanagers.base_datamanager import VanillaDataManager
 from nerfstudio.pipelines.base_pipeline import VanillaPipeline, VanillaPipelineConfig
diff --git a/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py b/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py
index 4effdc377..93a123d93 100644
--- a/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py
+++ b/nerfstudio/process_data/colmap_converter_to_nerfstudio_dataset.py
@@ -16,10 +16,9 @@
 
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Dict, List, Optional, Tuple
+from typing import Dict, List, Literal, Optional, Tuple
 
 from rich.console import Console
-from typing_extensions import Literal
 
 from nerfstudio.process_data import colmap_utils, hloc_utils, process_data_utils
 from nerfstudio.process_data.base_converter_to_nerfstudio_dataset import (
@@ -182,7 +181,11 @@ class ColmapConverterToNerfstudioDataset(BaseConverterToNerfstudioDataset):
         """
         self.absolute_colmap_path.mkdir(parents=True, exist_ok=True)
 
-        (sfm_tool, feature_type, matcher_type,) = process_data_utils.find_tool_feature_matcher_combination(
+        (
+            sfm_tool,
+            feature_type,
+            matcher_type,
+        ) = process_data_utils.find_tool_feature_matcher_combination(
             self.sfm_tool, self.feature_type, self.matcher_type
         )
         # check that sfm_tool is hloc if using refine_pixsfm
diff --git a/nerfstudio/process_data/colmap_utils.py b/nerfstudio/process_data/colmap_utils.py
index b302762d0..690080771 100644
--- a/nerfstudio/process_data/colmap_utils.py
+++ b/nerfstudio/process_data/colmap_utils.py
@@ -18,7 +18,7 @@ Tools supporting the execution of COLMAP and preparation of COLMAP-based dataset
 
 import json
 from pathlib import Path
-from typing import Any, Dict, Optional
+from typing import Any, Dict, Literal, Optional
 
 import appdirs
 import cv2
@@ -27,7 +27,6 @@ import requests
 import torch
 from rich.console import Console
 from rich.progress import track
-from typing_extensions import Literal
 
 # TODO(1480) use pycolmap instead of colmap_parsing_utils
 # import pycolmap
@@ -115,9 +114,7 @@ def run_colmap(
     colmap_version = get_colmap_version(colmap_cmd)
 
     colmap_database_path = colmap_dir / "database.db"
-    if colmap_database_path.exists():
-        # Can't use missing_ok argument because of Python 3.7 compatibility.
-        colmap_database_path.unlink()
+    colmap_database_path.unlink(missing_ok=True)
 
     # Feature extraction
     feature_extractor_cmd = [
diff --git a/nerfstudio/process_data/hloc_utils.py b/nerfstudio/process_data/hloc_utils.py
index f04f6c32c..eda02cae1 100644
--- a/nerfstudio/process_data/hloc_utils.py
+++ b/nerfstudio/process_data/hloc_utils.py
@@ -21,9 +21,9 @@ Requires hloc module from : https://github.com/cvg/Hierarchical-Localization
 
 import sys
 from pathlib import Path
+from typing import Literal
 
 from rich.console import Console
-from typing_extensions import Literal
 
 from nerfstudio.process_data.process_data_utils import CameraModel
 
diff --git a/nerfstudio/process_data/process_data_utils.py b/nerfstudio/process_data/process_data_utils.py
index 12d440772..74a981826 100644
--- a/nerfstudio/process_data/process_data_utils.py
+++ b/nerfstudio/process_data/process_data_utils.py
@@ -20,12 +20,11 @@ import shutil
 import sys
 from enum import Enum
 from pathlib import Path
-from typing import List, Optional, Tuple
+from typing import List, Literal, Optional, OrderedDict, Tuple
 
 import cv2
 import numpy as np
 from rich.console import Console
-from typing_extensions import Literal, OrderedDict
 
 from nerfstudio.utils.rich_utils import status
 from nerfstudio.utils.scripts import run_command
diff --git a/nerfstudio/utils/eval_utils.py b/nerfstudio/utils/eval_utils.py
index bd535af7f..5b35c33ff 100644
--- a/nerfstudio/utils/eval_utils.py
+++ b/nerfstudio/utils/eval_utils.py
@@ -20,12 +20,11 @@ from __future__ import annotations
 import os
 import sys
 from pathlib import Path
-from typing import Optional, Tuple
+from typing import Literal, Optional, Tuple
 
 import torch
 import yaml
 from rich.console import Console
-from typing_extensions import Literal
 
 from nerfstudio.engine.trainer import TrainerConfig
 from nerfstudio.pipelines.base_pipeline import Pipeline
diff --git a/nerfstudio/utils/math.py b/nerfstudio/utils/math.py
index 74d4d4c00..924556597 100644
--- a/nerfstudio/utils/math.py
+++ b/nerfstudio/utils/math.py
@@ -15,11 +15,10 @@
 """ Math Helper Functions """
 
 from dataclasses import dataclass
-from typing import Tuple
+from typing import Literal, Tuple
 
 import torch
 from torchtyping import TensorType
-from typing_extensions import Literal
 
 
 def components_from_spherical_harmonics(levels: int, directions: TensorType[..., 3]) -> TensorType[..., "components"]:
diff --git a/nerfstudio/viewer/app/run_deploy.py b/nerfstudio/viewer/app/run_deploy.py
index 03fd86465..99d5f47a9 100644
--- a/nerfstudio/viewer/app/run_deploy.py
+++ b/nerfstudio/viewer/app/run_deploy.py
@@ -119,7 +119,6 @@ def main(
 
     # update the symlink of latest
     if branch_name == "main":
-
         # move the build folder to the correct location
         run_cmd(f"""ssh {host} 'rm -rf {remote_folder}/{version}'""")
         run_cmd(f"""ssh {host} 'cp -R /home/eweb0124/build {remote_folder}/{version}'""")
diff --git a/nerfstudio/viewer/server/gui_utils.py b/nerfstudio/viewer/server/gui_utils.py
index 792d3f2b4..a77fc6edb 100644
--- a/nerfstudio/viewer/server/gui_utils.py
+++ b/nerfstudio/viewer/server/gui_utils.py
@@ -53,7 +53,7 @@ def parse_object(
     ret = []
     # get a list of the properties of the object, sorted by whether things are instances of type_check
     obj_props = [(k, getattr(obj, k)) for k in dir(obj)]
-    for (k, v) in obj_props:
+    for k, v in obj_props:
         if k[0] == "_":
             continue
         new_tree_stub = f"{tree_stub}/{k}"
diff --git a/nerfstudio/viewer/server/render_state_machine.py b/nerfstudio/viewer/server/render_state_machine.py
index 39c17c1e0..317dd299d 100644
--- a/nerfstudio/viewer/server/render_state_machine.py
+++ b/nerfstudio/viewer/server/render_state_machine.py
@@ -18,10 +18,9 @@ from __future__ import annotations
 import contextlib
 import threading
 from dataclasses import dataclass
-from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple
+from typing import TYPE_CHECKING, Any, Dict, Literal, Optional, Tuple, get_args
 
 import torch
-from typing_extensions import Literal, get_args
 
 from nerfstudio.cameras.cameras import Cameras, CameraType
 from nerfstudio.model_components.renderers import background_color_override_context
@@ -160,7 +159,7 @@ class RenderStateMachine(threading.Thread):
         )
         camera = camera.to(self.viewer.get_model().device)
 
-        with (self.viewer.train_lock if self.viewer.train_lock is not None else contextlib.nullcontext()):
+        with self.viewer.train_lock if self.viewer.train_lock is not None else contextlib.nullcontext():
             camera_ray_bundle = camera.generate_rays(camera_indices=0, aabb_box=self.viewer.get_model().render_aabb)
 
             with TimeWriter(None, None, write=False) as vis_t:
diff --git a/nerfstudio/viewer/server/viewer_state.py b/nerfstudio/viewer/server/viewer_state.py
index 5ecca2944..0d37ee902 100644
--- a/nerfstudio/viewer/server/viewer_state.py
+++ b/nerfstudio/viewer/server/viewer_state.py
@@ -17,7 +17,7 @@ from __future__ import annotations
 
 import threading
 from pathlib import Path
-from typing import TYPE_CHECKING, List, Optional
+from typing import TYPE_CHECKING, List, Literal, Optional
 
 import numpy as np
 import torch
@@ -25,7 +25,6 @@ from rich import box, style
 from rich.console import Console
 from rich.panel import Panel
 from rich.table import Table
-from typing_extensions import Literal
 
 from nerfstudio.configs import base_config as cfg
 from nerfstudio.data.datasets.base_dataset import InputDataset
diff --git a/nerfstudio/viewer/viser/message_api.py b/nerfstudio/viewer/viser/message_api.py
index 8034440e6..38faf5d06 100644
--- a/nerfstudio/viewer/viser/message_api.py
+++ b/nerfstudio/viewer/viser/message_api.py
@@ -31,6 +31,7 @@ from typing import (
     Dict,
     Generator,
     List,
+    Literal,
     Optional,
     Tuple,
     TypeVar,
@@ -41,7 +42,7 @@ from typing import (
 import imageio.v3 as iio
 import numpy as onp
 import numpy.typing as onpt
-from typing_extensions import Literal, LiteralString, ParamSpec, assert_never
+from typing_extensions import LiteralString, ParamSpec, assert_never
 
 from nerfstudio.data.scene_box import SceneBox
 
diff --git a/nerfstudio/viewer/viser/messages.py b/nerfstudio/viewer/viser/messages.py
index f3227f848..3fcfc7b3a 100644
--- a/nerfstudio/viewer/viser/messages.py
+++ b/nerfstudio/viewer/viser/messages.py
@@ -18,10 +18,10 @@
 from __future__ import annotations
 
 import dataclasses
-from typing import Any, Tuple
+from typing import Any, Literal, Tuple
 
 import viser.infra
-from typing_extensions import Literal, override
+from typing_extensions import override
 
 
 class NerfstudioMessage(viser.infra.Message):
diff --git a/pyproject.toml b/pyproject.toml
index 968f4e299..3b4d76647 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ version = "0.2.2"
 description = "All-in-one repository for state-of-the-art NeRFs"
 readme = "README.md"
 license = { text="Apache 2.0"}
-requires-python = ">=3.7.3"
+requires-python = ">=3.8.0"
 classifiers = [
     "Development Status :: 3 - Alpha",
     "Programming Language :: Python",
@@ -74,7 +74,7 @@ gen = [
 
 # Development packages
 dev = [
-    "black[jupyter]==22.3.0",
+    "black[jupyter]==23.3.0",
     "pylint==2.13.4",
     "pytest==7.1.2",
     "pytest-xdist==2.5.0",
@@ -168,5 +168,5 @@ reportMissingTypeStubs = false
 reportPrivateImportUsage = false
 reportUndefinedVariable = false
 
-pythonVersion = "3.7"
+pythonVersion = "3.8"
 pythonPlatform = "Linux"
diff --git a/scripts/blender/nerfstudio_blender.py b/scripts/blender/nerfstudio_blender.py
index dee0b4ab3..6ee80f066 100644
--- a/scripts/blender/nerfstudio_blender.py
+++ b/scripts/blender/nerfstudio_blender.py
@@ -141,7 +141,6 @@ class CreateJSONCameraPath(bpy.types.Operator):
         keyframe_list = []
 
         for i, transformed_camera_path_mat_val in enumerate(self.transformed_camera_path_mat):
-
             curr_properties = (
                 '[["FOV",'
                 + str(self.fov_list[i])
@@ -361,7 +360,7 @@ class NerfstudioBgPanel(bpy.types.Panel):  # pylint: disable=too-few-public-meth
         self.layout.label(text="Camera path for Nerfstudio")
 
         col = self.layout.column()
-        for (prop_name, _) in INPUT_PROPERTIES:
+        for prop_name, _ in INPUT_PROPERTIES:
             row = col.row()
             row.prop(context.scene, prop_name)
 
@@ -385,7 +384,7 @@ class NerfstudioInputPanel(bpy.types.Panel):  # pylint: disable=too-few-public-m
         self.layout.label(text="Create Blender Camera From Nerfstudio JSON")
         col = self.layout.column()
 
-        for (prop_name, _) in INPUT_PROPERTIES_NS_CAMERA:
+        for prop_name, _ in INPUT_PROPERTIES_NS_CAMERA:
             row = col.row()
             row.prop(context.scene, prop_name)
 
@@ -425,10 +424,10 @@ OBJ_PROPERTIES = ["NeRF", "RenderCamera"]
 def register():
     """Register classes for UI panel."""
 
-    for (prop_name, prop_value) in INPUT_PROPERTIES:
+    for prop_name, prop_value in INPUT_PROPERTIES:
         setattr(bpy.types.Scene, prop_name, prop_value)
 
-    for (prop_name, prop_value) in INPUT_PROPERTIES_NS_CAMERA:
+    for prop_name, prop_value in INPUT_PROPERTIES_NS_CAMERA:
         setattr(bpy.types.Scene, prop_name, prop_value)
 
     bpy.types.Scene.NeRF = bpy.props.PointerProperty(type=bpy.types.Object)
@@ -440,10 +439,10 @@ def register():
 def unregister():
     """Unregister classes for UI panel."""
 
-    for (prop_name, _) in INPUT_PROPERTIES:
+    for prop_name, _ in INPUT_PROPERTIES:
         delattr(bpy.types.Scene, prop_name)
 
-    for (prop_name, _) in INPUT_PROPERTIES_NS_CAMERA:
+    for prop_name, _ in INPUT_PROPERTIES_NS_CAMERA:
         delattr(bpy.types.Scene, prop_name)
 
     del bpy.types.Scene.NeRF
diff --git a/scripts/completions/install.py b/scripts/completions/install.py
index a7acc862c..67957cf4b 100644
--- a/scripts/completions/install.py
+++ b/scripts/completions/install.py
@@ -10,13 +10,13 @@ import shutil
 import stat
 import subprocess
 import sys
-from typing import List, Optional, Union
+from typing import List, Literal, Optional, Union
+from typing import get_args as typing_get_args
 
 import tyro
 from rich.console import Console
 from rich.prompt import Confirm
-from typing_extensions import Literal, assert_never
-from typing_extensions import get_args as typing_get_args
+from typing_extensions import assert_never
 
 if sys.version_info < (3, 10):
     import importlib_metadata
diff --git a/scripts/datasets/process_nuscenes_masks.py b/scripts/datasets/process_nuscenes_masks.py
index c86baec03..07b5f5e99 100644
--- a/scripts/datasets/process_nuscenes_masks.py
+++ b/scripts/datasets/process_nuscenes_masks.py
@@ -1,7 +1,7 @@
 import os
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Tuple
+from typing import Literal, Tuple
 
 import cv2
 import numpy as np
@@ -10,7 +10,6 @@ from nuscenes.nuscenes import NuScenes as NuScenesDatabase
 from nuscenes.utils.data_classes import Box
 from nuscenes.utils.geometry_utils import BoxVisibility, view_points
 from tqdm import tqdm
-from typing_extensions import Literal
 
 
 @dataclass
diff --git a/scripts/render.py b/scripts/render.py
index 214c5612a..4549a9bdd 100644
--- a/scripts/render.py
+++ b/scripts/render.py
@@ -11,7 +11,7 @@ import sys
 from contextlib import ExitStack
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List, Literal, Optional
 
 import mediapy as media
 import numpy as np
@@ -29,7 +29,7 @@ from rich.progress import (
 )
 from rich.table import Table
 from torchtyping import TensorType
-from typing_extensions import Literal, assert_never
+from typing_extensions import assert_never
 
 from nerfstudio.cameras.camera_paths import (
     get_interpolated_camera_path,
diff --git a/scripts/texture.py b/scripts/texture.py
index eeb1848cf..2dfbd679b 100644
--- a/scripts/texture.py
+++ b/scripts/texture.py
@@ -6,11 +6,10 @@ from __future__ import annotations
 
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Optional
+from typing import Literal, Optional
 
 import tyro
 from rich.console import Console
-from typing_extensions import Literal
 
 from nerfstudio.exporter import texture_utils
 from nerfstudio.exporter.exporter_utils import get_mesh_from_filename