style: use latest ruff

imaginairy/__init__.py

@@ -1,4 +1,5 @@
 """Pythonic AI generation of images and videos"""
+
 import os
 
 # tells pytorch to allow MPS usage (for Mac M1 compatibility)

imaginairy/api/generate_refiners.py

@@ -271,9 +271,9 @@ def generate_single_image(
                             fit_width=prompt.width,
                             fit_height=prompt.height,
                         )
-                        result_images[
-                            f"control-{control_input.mode}"
-                        ] = control_image_disp
+                        result_images[f"control-{control_input.mode}"] = (
+                            control_image_disp
+                        )
                         controlnets.append((controlnet, control_image_t))
 
         for controlnet, control_image_t in controlnets:

imaginairy/cli/unslow_the_cli.py

@@ -5,6 +5,7 @@ If we don't do this then the scripts will be slow to start up because of
 pkg_resources.require() which is called by setuptools to ensure the
 "correct" version of the package is installed.
 """
+
 import os
 
 

imaginairy/enhancers/bool_masker.py

@@ -16,6 +16,7 @@ Examples:
   fruit{-0.1} OR bowl
 
 """
+
 import operator
 from abc import ABC
 from typing import ClassVar

imaginairy/enhancers/video_interpolation/rife/interpolate.py

@@ -54,9 +54,7 @@ def transfer_audio(sourceVideo, targetVideo):
             f'ffmpeg -y -i "{sourceVideo}" -c:a aac -b:a 160k -vn {tempAudioFileName}'
         )
         os.system(
-            'ffmpeg -y -i "{}" -i {} -c copy "{}"'.format(
-                targetNoAudio, tempAudioFileName, targetVideo
-            )
+            f'ffmpeg -y -i "{targetNoAudio}" -i {tempAudioFileName} -c copy "{targetVideo}"'
         )
         if (
             os.path.getsize(targetVideo) == 0
@@ -159,9 +157,7 @@ def interpolate_video_file(
         fourcc = cv2.VideoWriter_fourcc("m", "p", "4", "v")  # type: ignore
         video_path_wo_ext, ext = os.path.splitext(video_path)
         print(
-            "{}.{}, {} frames in total, {}FPS to {}FPS".format(
-                video_path_wo_ext, output_extension, tot_frame, fps, target_fps
-            )
+            f"{video_path_wo_ext}.{output_extension}, {tot_frame} frames in total, {fps}FPS to {target_fps}FPS"
         )
         if png_out is False and fpsNotAssigned is True:
             print("The audio will be merged after interpolation process")

imaginairy/img_processors/control_modes.py

@@ -1,4 +1,5 @@
 """Functions to create hint images for controlnet."""
+
 from typing import TYPE_CHECKING, Callable, Dict, Union
 
 if TYPE_CHECKING:

imaginairy/modules/diffusion/ddpm.py

@@ -7,6 +7,7 @@ https://github.com/openai/improved-diffusion/blob/e94489283bb876ac1477d5dd7709bb
 https://github.com/CompVis/taming-transformers
 -- merci.
 """
+
 import itertools
 import logging
 from contextlib import contextmanager, nullcontext
@@ -1602,9 +1603,9 @@ class LatentDiffusion(DDPM):
                     unconditional_conditioning=uc,
                 )
                 x_samples_cfg = self.decode_first_stage(samples_cfg)
-                log[
-                    f"samples_cfg_scale_{unconditional_guidance_scale:.2f}"
-                ] = x_samples_cfg
+                log[f"samples_cfg_scale_{unconditional_guidance_scale:.2f}"] = (
+                    x_samples_cfg
+                )
 
         if inpaint:
             # make a simple center square
@@ -1921,9 +1922,9 @@ class LatentFinetuneDiffusion(LatentDiffusion):
                     unconditional_conditioning=uc_full,
                 )
                 x_samples_cfg = self.decode_first_stage(samples_cfg)
-                log[
-                    f"samples_cfg_scale_{unconditional_guidance_scale:.2f}"
-                ] = x_samples_cfg
+                log[f"samples_cfg_scale_{unconditional_guidance_scale:.2f}"] = (
+                    x_samples_cfg
+                )
 
         return log
 

imaginairy/modules/diffusion/util.py

@@ -9,7 +9,6 @@
 #
 # thanks!
 
-
 import logging
 import math
 

imaginairy/modules/midas/api.py

@@ -271,9 +271,7 @@ def load_model(
 
     if "openvino" not in model_type:
         print(
-            "Model loaded, number of parameters = {:.0f}M".format(
-                sum(p.numel() for p in model.parameters()) / 1e6
-            )
+            f"Model loaded, number of parameters = {sum(p.numel() for p in model.parameters()) / 1e6:.0f}M"
         )
     else:
         print("Model loaded, optimized with OpenVINO")

imaginairy/modules/midas/midas/dpt_depth.py

@@ -145,15 +145,9 @@ class DPT(BaseModel):
 
 class DPTDepthModel(DPT):
     def __init__(self, path=None, non_negative=True, **kwargs):
-        features = kwargs["features"] if "features" in kwargs else 256
-        head_features_1 = (
-            kwargs["head_features_1"] if "head_features_1" in kwargs else features
-        )
-        head_features_2 = (
-            kwargs["head_features_2"] if "head_features_2" in kwargs else 32
-        )
-        kwargs.pop("head_features_1", None)
-        kwargs.pop("head_features_2", None)
+        features = kwargs.pop("features", 256)
+        head_features_1 = kwargs.pop("head_features_1", features)
+        head_features_2 = kwargs.pop("head_features_2", 32)
 
         head = nn.Sequential(
             nn.Conv2d(

imaginairy/modules/midas/midas/midas_net.py

@@ -3,6 +3,7 @@ MidashNet: Network for monocular depth estimation trained by mixing several data
 This file contains code that is adapted from
 https://github.com/thomasjpfan/pytorch_refinenet/blob/master/pytorch_refinenet/refinenet/refinenet_4cascade.py.
 """
+
 import torch
 from torch import nn
 

imaginairy/modules/midas/midas/midas_net_custom.py

@@ -3,6 +3,7 @@ MidashNet: Network for monocular depth estimation trained by mixing several data
 This file contains code that is adapted from
 https://github.com/thomasjpfan/pytorch_refinenet/blob/master/pytorch_refinenet/refinenet/refinenet_4cascade.py.
 """
+
 import torch
 from torch import nn
 

imaginairy/modules/midas/utils.py

@@ -1,4 +1,5 @@
 """Utils for monoDepth."""
+
 import re
 import sys
 

imaginairy/modules/sgm/diffusionmodules/sampling.py

@@ -1,8 +1,7 @@
 """
-    Partially ported from https://github.com/crowsonkb/k-diffusion/blob/master/k_diffusion/sampling.py
+Partially ported from https://github.com/crowsonkb/k-diffusion/blob/master/k_diffusion/sampling.py
 """
 
-
 from typing import Dict, Union
 
 import torch

imaginairy/modules/sgm/diffusionmodules/wrappers.py

@@ -30,7 +30,7 @@ class OpenAIWrapper(IdentityWrapper):
         return self.diffusion_model(
             x,
             timesteps=t,
-            context=c.get("crossattn", None),
-            y=c.get("vector", None),
+            context=c.get("crossattn"),
+            y=c.get("vector"),
             **kwargs,
         )

imaginairy/samplers/editing.py

@@ -3,6 +3,7 @@ Wrapper for instruct pix2pix model.
 
 modified from https://github.com/timothybrooks/instruct-pix2pix/blob/main/edit_cli.py
 """
+
 import torch
 from einops import einops
 from torch import nn

imaginairy/utils/animations.py

@@ -1,4 +1,5 @@
 """Functions for creating animations from images."""
+
 import logging
 import os.path
 from typing import TYPE_CHECKING, List, Sequence

imaginairy/utils/feather_tile.py

@@ -159,7 +159,7 @@ def add_tiles(tiles, base_img, tile_coords, tile_size, overlap):
             t += 1
             column += 1
 
-        row += 1
+        row += 1  # noqa
         # if row >= 2:
         #     exit()
         column = 0

imaginairy/utils/img_utils.py

@@ -9,6 +9,7 @@ OpenCV                      B, G, R, A          0-255           np.ndarray
 Torch       (B), C, H, W    R, G, B             -1.0-1.0        torch.Tensor
 
 """
+
 from typing import Sequence
 
 import numpy as np

imaginairy/utils/paths.py

@@ -1,4 +1,5 @@
 """Code for defining package root path"""
+
 import os
 
 PKG_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))

imaginairy/weight_management/translators.py

@@ -118,9 +118,9 @@ class DoubleTextEncoderTranslator:
                 new_key = f"Parallel.CLIPTextEncoderL.{k}"
                 new_sd[new_key] = text_encoder_l_weights.pop(k)
 
-        new_sd[
-            "Parallel.TextEncoderWithPooling.Parallel.Chain.Linear.weight"
-        ] = text_encoder_g_weights.pop("Linear.weight")
+        new_sd["Parallel.TextEncoderWithPooling.Parallel.Chain.Linear.weight"] = (
+            text_encoder_g_weights.pop("Linear.weight")
+        )
         for k in list(text_encoder_g_weights.keys()):
             if k.startswith("TransformerLayer_32"):
                 new_key = f"Parallel.TextEncoderWithPooling.Parallel.Chain.CLIPTextEncoderG.TransformerLayer{k[19:]}"

requirements-dev.in

@@ -5,6 +5,7 @@ mkdocs-click
 mkdocstrings[python]
 mypy
 ruff
+pip-tools
 pytest
 pytest-asyncio
 pytest-randomly

requirements-dev.txt

@@ -8,13 +8,15 @@ annotated-types==0.6.0
     # via pydantic
 antlr4-python3-runtime==4.9.3
     # via omegaconf
-anyio==4.2.0
+anyio==4.3.0
     # via
     #   httpx
     #   starlette
 babel==2.14.0
     # via mkdocs-material
-certifi==2023.11.17
+build==1.1.1
+    # via pip-tools
+certifi==2024.2.2
     # via
     #   httpcore
     #   httpx
@@ -29,6 +31,7 @@ click==8.1.7
     #   mkdocs
     #   mkdocs-click
     #   mkdocstrings
+    #   pip-tools
     #   uvicorn
 click-help-colors==0.9.4
     # via imaginAIry (setup.py)
@@ -38,9 +41,9 @@ colorama==0.4.6
     # via
     #   griffe
     #   mkdocs-material
-coverage==7.4.0
+coverage==7.4.4
     # via -r requirements-dev.in
-diffusers==0.25.0
+diffusers==0.27.0
     # via imaginAIry (setup.py)
 einops==0.7.0
     # via imaginAIry (setup.py)
@@ -48,7 +51,7 @@ exceptiongroup==1.2.0
     # via
     #   anyio
     #   pytest
-fastapi==0.108.0
+fastapi==0.110.0
     # via imaginAIry (setup.py)
 filelock==3.13.1
     # via
@@ -56,7 +59,7 @@ filelock==3.13.1
     #   huggingface-hub
     #   torch
     #   transformers
-fsspec==2023.12.2
+fsspec==2024.2.0
     # via
     #   huggingface-hub
     #   torch
@@ -66,17 +69,17 @@ ftfy==6.1.3
     #   open-clip-torch
 ghp-import==2.1.0
     # via mkdocs
-griffe==0.38.1
+griffe==0.42.0
     # via mkdocstrings-python
 h11==0.14.0
     # via
     #   httpcore
     #   uvicorn
-httpcore==1.0.2
+httpcore==1.0.4
     # via httpx
-httpx==0.26.0
+httpx==0.27.0
     # via -r requirements-dev.in
-huggingface-hub==0.20.2
+huggingface-hub==0.21.4
     # via
     #   diffusers
     #   open-clip-torch
@@ -88,32 +91,36 @@ idna==3.6
     #   anyio
     #   httpx
     #   requests
-importlib-metadata==7.0.1
+importlib-metadata==7.0.2
     # via diffusers
 iniconfig==2.0.0
     # via pytest
-jaxtyping==0.2.25
+jaxtyping==0.2.28
     # via imaginAIry (setup.py)
-jinja2==3.1.2
+jinja2==3.1.3
     # via
     #   mkdocs
     #   mkdocs-material
     #   mkdocstrings
     #   torch
-kornia==0.7.1
+kornia==0.7.2
     # via imaginAIry (setup.py)
-markdown==3.5.1
+kornia-rs==0.1.1
+    # via kornia
+markdown==3.5.2
     # via
     #   mkdocs
     #   mkdocs-autorefs
     #   mkdocs-click
     #   mkdocs-material
     #   mkdocstrings
+    #   mkdocstrings-python
     #   pymdown-extensions
-markupsafe==2.1.3
+markupsafe==2.1.5
     # via
     #   jinja2
     #   mkdocs
+    #   mkdocs-autorefs
     #   mkdocstrings
 mergedeep==1.3.4
     # via mkdocs
@@ -122,23 +129,23 @@ mkdocs==1.5.3
     #   mkdocs-autorefs
     #   mkdocs-material
     #   mkdocstrings
-mkdocs-autorefs==0.5.0
+mkdocs-autorefs==1.0.1
     # via mkdocstrings
 mkdocs-click==0.8.1
     # via -r requirements-dev.in
-mkdocs-material==9.5.3
+mkdocs-material==9.5.13
     # via -r requirements-dev.in
 mkdocs-material-extensions==1.3.1
     # via mkdocs-material
-mkdocstrings[python]==0.24.0
+mkdocstrings[python]==0.24.1
     # via
     #   -r requirements-dev.in
     #   mkdocstrings-python
-mkdocstrings-python==1.7.5
+mkdocstrings-python==1.9.0
     # via mkdocstrings
 mpmath==1.3.0
     # via sympy
-mypy==1.8.0
+mypy==1.9.0
     # via -r requirements-dev.in
 mypy-extensions==1.0.0
     # via mypy
@@ -156,12 +163,13 @@ numpy==1.24.4
     #   transformers
 omegaconf==2.3.0
     # via imaginAIry (setup.py)
-open-clip-torch==2.23.0
+open-clip-torch==2.24.0
     # via imaginAIry (setup.py)
 opencv-python==4.9.0.80
     # via imaginAIry (setup.py)
-packaging==23.2
+packaging==24.0
     # via
+    #   build
     #   huggingface-hub
     #   kornia
     #   mkdocs
@@ -177,45 +185,51 @@ pillow==10.2.0
     #   diffusers
     #   imaginAIry (setup.py)
     #   torchvision
-platformdirs==4.1.0
+pip-tools==7.4.1
+    # via -r requirements-dev.in
+platformdirs==4.2.0
     # via
     #   mkdocs
     #   mkdocstrings
-pluggy==1.3.0
+pluggy==1.4.0
     # via pytest
-protobuf==4.25.1
+protobuf==5.26.0
     # via
     #   imaginAIry (setup.py)
     #   open-clip-torch
-psutil==5.9.7
+psutil==5.9.8
     # via imaginAIry (setup.py)
-pydantic==2.5.3
+pydantic==2.6.4
     # via
     #   fastapi
     #   imaginAIry (setup.py)
-pydantic-core==2.14.6
+pydantic-core==2.16.3
     # via pydantic
 pygments==2.17.2
     # via mkdocs-material
-pymdown-extensions==10.7
+pymdown-extensions==10.7.1
     # via
     #   mkdocs-material
     #   mkdocstrings
-pyparsing==3.1.1
+pyparsing==3.1.2
     # via imaginAIry (setup.py)
-pytest==7.4.4
+pyproject-hooks==1.0.0
+    # via
+    #   build
+    #   pip-tools
+pytest==8.1.1
     # via
     #   -r requirements-dev.in
     #   pytest-asyncio
     #   pytest-randomly
     #   pytest-sugar
-pytest-asyncio==0.23.3
+pytest-asyncio==0.23.5.post1
     # via -r requirements-dev.in
 pytest-randomly==3.15.0
     # via -r requirements-dev.in
-pytest-sugar==0.9.7
+pytest-sugar==1.0.0
     # via -r requirements-dev.in
-python-dateutil==2.8.2
+python-dateutil==2.9.0.post0
     # via ghp-import
 pyyaml==6.0.1
     # via
@@ -242,31 +256,30 @@ requests==2.31.0
     #   imaginAIry (setup.py)
     #   mkdocs-material
     #   responses
-    #   torchvision
     #   transformers
-responses==0.24.1
+responses==0.25.0
     # via -r requirements-dev.in
-ruff==0.1.11
+ruff==0.3.3
     # via -r requirements-dev.in
-safetensors==0.4.1
+safetensors==0.4.2
     # via
     #   diffusers
     #   imaginAIry (setup.py)
     #   timm
     #   transformers
-scipy==1.10.1
+scipy==1.12.0
     # via
     #   imaginAIry (setup.py)
     #   torchdiffeq
-sentencepiece==0.1.99
+sentencepiece==0.2.0
     # via open-clip-torch
 six==1.16.0
     # via python-dateutil
-sniffio==1.3.0
+sniffio==1.3.1
     # via
     #   anyio
     #   httpx
-starlette==0.32.0.post1
+starlette==0.36.3
     # via fastapi
 sympy==1.12
     # via torch
@@ -274,17 +287,20 @@ termcolor==2.4.0
     # via
     #   imaginAIry (setup.py)
     #   pytest-sugar
-timm==0.9.12
+timm==0.9.16
     # via
     #   imaginAIry (setup.py)
     #   open-clip-torch
-tokenizers==0.15.0
+tokenizers==0.15.2
     # via transformers
 tomli==2.0.1
     # via
+    #   build
     #   mypy
+    #   pip-tools
+    #   pyproject-hooks
     #   pytest
-torch==2.1.2
+torch==2.2.1
     # via
     #   imaginAIry (setup.py)
     #   kornia
@@ -294,52 +310,57 @@ torch==2.1.2
     #   torchvision
 torchdiffeq==0.2.3
     # via imaginAIry (setup.py)
-torchvision==0.16.2
+torchvision==0.17.1
     # via
     #   imaginAIry (setup.py)
     #   open-clip-torch
     #   timm
-tqdm==4.66.1
+tqdm==4.66.2
     # via
     #   huggingface-hub
     #   imaginAIry (setup.py)
     #   open-clip-torch
     #   transformers
-transformers==4.36.2
+transformers==4.38.2
     # via imaginAIry (setup.py)
 typeguard==2.13.3
     # via jaxtyping
-types-pillow==10.1.0.20240106
+types-pillow==10.2.0.20240311
     # via -r requirements-dev.in
-types-psutil==5.9.5.20240106
+types-psutil==5.9.5.20240311
     # via -r requirements-dev.in
-types-requests==2.31.0.20240106
+types-requests==2.31.0.20240311
     # via -r requirements-dev.in
 types-tqdm==4.66.0.20240106
     # via -r requirements-dev.in
-typing-extensions==4.9.0
+typing-extensions==4.10.0
     # via
     #   anyio
     #   fastapi
     #   huggingface-hub
-    #   jaxtyping
     #   mypy
     #   pydantic
     #   pydantic-core
     #   torch
     #   uvicorn
-urllib3==2.1.0
+urllib3==2.2.1
     # via
     #   requests
     #   responses
     #   types-requests
-uvicorn==0.25.0
+uvicorn==0.28.0
     # via imaginAIry (setup.py)
-watchdog==3.0.0
+watchdog==4.0.0
     # via mkdocs
 wcwidth==0.2.13
     # via ftfy
-wheel==0.42.0
-    # via -r requirements-dev.in
-zipp==3.17.0
+wheel==0.43.0
+    # via
+    #   -r requirements-dev.in
+    #   pip-tools
+zipp==3.18.1
     # via importlib-metadata
+
+# The following packages are considered to be unsafe in a requirements file:
+# pip
+# setuptools

tests/ruff.toml

@@ -1,14 +1,16 @@
-extend-ignore =  ["E501", "G004", "PT004", "PT005", "RET504", "SIM114", "TRY003", "TRY400", "TRY401", "RUF012", "RUF100", "ISC001"]
+
 extend-exclude = ["imaginairy/vendored", "downloads", "other"]
 
+[lint]
+extend-ignore =  ["E501", "G004", "PT004", "PT005", "RET504", "SIM114", "TRY003", "TRY400", "TRY401", "RUF012", "RUF100", "ISC001"]
 extend-select = [
     "I", "E", "W", "UP", "ASYNC", "BLE", "A001", "A002",
     "C4", "DTZ", "T10", "EM", "ISC", "ICN", "G", "PIE", "PT",
     "Q", "SIM", "TID", "TCH", "PLC", "PLE", "TRY", "RUF"
 ]
 
-[isort]
+[lint.isort]
 combine-as-imports = true
 
-[flake8-errmsg]
+[lint.flake8-errmsg]
 max-string-length = 50