[Issue]: After the last update, some errors

[ronbere]

Issue Description

PleaUsing VENV: D:\automatic\venv 15:51:24-469139 INFO Running extension preloading 15:51:24-587148 INFO Starting SD.Next 15:51:24-588183 INFO Python 3.10.9 on Windows 15:51:24-666173 INFO Version: 0acc7d3b Wed May 24 08:49:33 2023 -0400 15:51:24-925188 INFO Setting environment tuning 15:51:24-930193 INFO nVidia CUDA toolkit detected 15:51:26-182528 INFO Torch 2.0.1+cu118 15:51:26-203159 INFO Torch backend: nVidia CUDA 11.8 cuDNN 8700 15:51:26-206160 INFO Torch detected GPU: NVIDIA GeForce RTX 3080 Ti VRAM 12287 Arch (8, 6) Cores 80 15:51:26-207162 INFO Installing package: tensorflow==2.12.0 15:51:46-637224 INFO Verifying requirements 15:51:46-650236 WARNING Package wrong version: numpy 1.23.5 required 1.24.3 15:51:46-652238 INFO Installing package: numpy==1.24.3 15:51:54-555090 ERROR Error running pip: install --upgrade numpy==1.24.3 15:51:54-559093 INFO Installing packages 15:51:54-608138 INFO No changes detected: Quick launch active 15:51:54-610139 INFO Running extension preloading 15:51:54-611140 INFO Server arguments: [] No module 'xformers'. Proceeding without it. ┌───────────────────────────────────────── Traceback (most recent call last) ─────────────────────────────────────────┐ │ D:\automatic\launch.py:145 in │ │ │ │ 144 │ │ > 145 instance = start_server(immediate=True, server=None) │ │ 146 while True: │ │ │ │ D:\automatic\launch.py:117 in start_server │ │ │ │ 116 server = importlib.util.module_from_spec(module_spec) │ │ > 117 module_spec.loader.exec_module(server) │ │ 118 if args.test: │ │ in exec_module:883 │ │ in _call_with_frames_removed:241 │ │ │ │ D:\automatic\webui.py:37 in │ │ │ │ 36 import ldm.modules.encoders.modules # pylint: disable=W0611,C0411 │ │ > 37 from modules import extra_networks, ui_extra_networks_checkpoints # pylint: disable=C041 │ │ 38 from modules import extra_networks_hypernet, ui_extra_networks_hypernets, ui_extra_netwo │ │ │ │ D:\automatic\modules\ui_extra_networks_checkpoints.py:5 in │ │ │ │ 4 │ │ > 5 from modules import shared, ui_extra_networks, sd_models │ │ 6 │ │ │ │ D:\automatic\modules\ui_extra_networks.py:10 in │ │ │ │ 9 from modules import shared │ │ > 10 from modules.images import read_info_from_image │ │ 11 from modules.generation_parameters_copypaste import image_from_url_text │ │ │ │ D:\automatic\modules\images.py:17 in │ │ │ │ 16 from PIL import Image, ImageFont, ImageDraw, PngImagePlugin, ExifTags │ │ > 17 from modules import sd_samplers, shared, script_callbacks, errors, paths │ │ 18 │ │ │ │ D:\automatic\modules\sd_samplers.py:1 in │ │ │ │ > 1 from modules import sd_samplers_compvis, sd_samplers_kdiffusion, shared │ │ 2 from modules.sd_samplers_common import samples_to_image_grid, sample_to_image # pylint: │ │ │ │ D:\automatic\modules\sd_samplers_kdiffusion.py:4 in │ │ │ │ 3 import torch │ │ > 4 import k_diffusion.sampling │ │ 5 from modules import prompt_parser, devices, sd_samplers_common │ │ │ │ D:\automatic\repositories\k-diffusion\k_diffusion__init.py:1 in │ │ │ │ > 1 from . import augmentation, config, evaluation, external, gns, layers, models, sampling, │ │ 2 from .layers import Denoiser │ │ │ │ D:\automatic\repositories\k-diffusion\k_diffusion\augmentation.py:6 in │ │ │ │ 5 import numpy as np │ │ > 6 from skimage import transform │ │ 7 import torch │ │ │ │ D:\automatic\venv\lib\site-packages\skimage\transform__init.py:4 in │ │ │ │ 3 hough_circle_peaks, hough_ellipse) │ │ > 4 from .radon_transform import (radon, iradon, iradon_sart, │ │ 5 order_angles_golden_ratio) │ │ │ │ D:\automatic\venv\lib\site-packages\skimage\transform\radon_transform.py:3 in │ │ │ │ │ │ 2 │ │ > 3 from scipy.interpolate import interp1d │ │ 4 from scipy.constants import golden_ratio │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\interpolate__init.py:167 in │ │ │ │ 166 """ │ │ > 167 from ._interpolate import │ │ 168 from ._fitpack_py import │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\interpolate_interpolate.py:12 in │ │ │ │ 11 │ │ > 12 from . import _fitpack_py │ │ 13 from . import dfitpack │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\interpolate_fitpack_py.py:10 in │ │ │ │ 9 from . import _fitpack_impl as _impl │ │ > 10 from ._bsplines import BSpline │ │ 11 │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\interpolate_bsplines.py:8 in │ │ │ │ 7 solve, solve_banded) │ │ > 8 from scipy.optimize import minimize_scalar │ │ 9 from . import _bspl │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\optimize__init__.py:405 in │ │ │ │ 404 from ._optimize import │ │ > 405 from ._minimize import │ │ 406 from ._root import * │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\optimize_minimize.py:26 in │ │ │ │ 25 from ._trustregion_exact import _minimize_trustregion_exact │ │ > 26 from ._trustregion_constr import _minimize_trustregion_constr │ │ 27 │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\optimize_trustregion_constr\init__.py:4 │ │ in │ │ │ │ 3 │ │ > 4 from .minimize_trustregion_constr import _minimize_trustregion_constr │ │ 5 │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\optimize_trustregion_constr\minimize_trus │ │ tregion_constr.py:5 in │ │ │ │ 4 from .._differentiable_functions import VectorFunction │ │ > 5 from .._constraints import ( │ │ 6 NonlinearConstraint, LinearConstraint, PreparedConstraint, strict_bounds) │ │ │ │ D:\automatic\venv\lib\site-packages\scipy\optimize_constraints.py:8 in │ │ │ │ 7 from warnings import warn, catch_warnings, simplefilter │ │ > 8 from numpy.testing import suppress_warnings │ │ 9 from scipy.sparse import issparse │ │ │ │ D:\automatic\venv\lib\site-packages\numpy\testing\init__.py:11 in │ │ │ │ 10 from . import _private │ │ > 11 from ._private.utils import * │ │ 12 from ._private.utils import (_assert_valid_refcount, _gen_alignment_data) │ │ │ │ D:\automatic\venv\lib\site-packages\numpy\testing_private\utils.py:480 in │ │ │ │ 479 │ │ > 480 @np._no_nep50_warning() │ │ 481 def assert_almost_equal(actual,desired,decimal=7,err_msg='',verbose=True): │ │ │ │ D:\automatic\venv\lib\site-packages\numpy\init.py:311 in getattr__ │ │ │ │ 310 # │ │ > 311 # The previous way Tester was imported also had a side effect of adding │ │ 312 # the full numpy.testing namespace │ └─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ AttributeError: module 'numpy' has no attribute '_no_nep50_warning' Appuyez sur une touche pour continuer...se fill this form with as much information as possible

Version Platform Description

Windows10, Chrome

[vladmandic]

15:51:54-555090 ERROR Error running pip: install --upgrade numpy==1.24.3

there is error installing numpy near the top, everything below is just a consequence:

lets try to install it manually:

venv\Scripts\activate
pip show numpy
pip install --upgrade numpy==1.24.3
pip show numpy

[ronbere]

(venv) D:\automatic\venv\Scripts>pip install --upgrade numpy==1.24.3 Collecting numpy==1.24.3 Using cached numpy-1.24.3-cp310-cp310-win_amd64.whl (14.8 MB) Installing collected packages: numpy ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow-intel 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.24.3 which is incompatible. Successfully installed numpy-1.24.3

(venv) D:\automatic\venv\Scripts>pip show numpy Name: numpy Version: 1.24.3 Summary: Fundamental package for array computing in Python Home-page: https://www.numpy.org Author: Travis E. Oliphant et al. Author-email: License: BSD-3-Clause Location: d:\automatic\venv\lib\site-packages Requires: Required-by: accelerate, altair, basicsr, blendmodes, clean-fid, contourpy, diffusers, facexlib, filterpy, gfpgan, gradio, h5py, imageio, jax, lpips, matplotlib, mediapipe, ml-dtypes, numba, numexpr, onnxruntime, opencv-contrib-python, opencv-python, opt-einsum, pandas, pytorch-lightning, PyWavelets, realesrgan, scikit-image, scipy, seaborn, tb-nightly, tensorboard, tensorflow-intel, tifffile, torchmetrics, torchsde, torchvision, transformers

(venv) D:\automatic\venv\Scripts>

[vladmandic]

btw, i explicitly asked to run steps as-is to see which numpy was on the system before upgrade - and you just upgraded blindly. but ok, what is the status now?

[ronbere]

Always a Numpy issue :

23:00:38-457896 INFO Running extension preloading 23:00:38-619734 INFO Starting SD.Next 23:00:38-642375 INFO Python 3.10.9 on Windows 23:00:38-729057 INFO Version: 9e66d88e Wed May 24 15:21:49 2023 -0400 23:00:39-465965 INFO Setting environment tuning 23:00:39-469968 INFO nVidia CUDA toolkit detected 23:00:57-590091 INFO Torch 2.0.1+cu118 23:00:57-619742 INFO Torch backend: nVidia CUDA 11.8 cuDNN 8700 23:00:57-620918 INFO Torch detected GPU: NVIDIA GeForce RTX 3080 Ti VRAM 12287 Arch (8, 6) Cores 80 23:00:57-622920 INFO Verifying requirements 23:00:57-635932 WARNING Package wrong version: numpy 1.24.3 required 1.23.5 23:00:57-636933 INFO Installing package: numpy==1.23.5 23:01:13-310352 ERROR Error running pip: install --upgrade numpy==1.23.5 23:01:13-314356 INFO Installing packages

[ronbere]

ok, all seems fine, excepts black images sometimes...i know than its a common issue

[vladmandic]

So resolved?

[ronbere]

excepting the black images yes

[vladmandic]

LOL! Yeah, annoying, but separate issue...