huchang47 / AetherConverTools

以太流派的AI转绘工具包
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第二步生成蒙版报错,提示找不到CUDA运行库路径,但系统有安装,并重装CUDA,CUDNN等偿试过。 #10

Open DreamLoveBetty opened 1 year ago

DreamLoveBetty commented 1 year ago

以下是后台报错信息:系统:win11,python:3.10.11,CUDA:11.8-12.2 False

===================================BUG REPORT=================================== C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\cuda_setup\main.py:166: UserWarning: Welcome to bitsandbytes. For bug reports, please run

python -m bitsandbytes

warn(msg)

CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths... The following directories listed in your path were found to be non-existent: {WindowsPath('/usr/local/cuda/lib64')} DEBUG: Possible options found for libcudart.so: set() CUDA SETUP: PyTorch settings found: CUDA_VERSION=118, Highest Compute Capability: 8.9. CUDA SETUP: To manually override the PyTorch CUDA version please see:https://github.com/TimDettmers/bitsandbytes/blob/main/how_to_use_nonpytorch_cuda.md CUDA SETUP: Loading binary C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\libbitsandbytes_cuda118.so... argument of type 'WindowsPath' is not iterable CUDA SETUP: Problem: The main issue seems to be that the main CUDA runtime library was not detected. CUDA SETUP: Solution 1: To solve the issue the libcudart.so location needs to be added to the LD_LIBRARY_PATH variable CUDA SETUP: Solution 1a): Find the cuda runtime library via: find / -name libcudart.so 2>/dev/null CUDA SETUP: Solution 1b): Once the library is found add it to the LD_LIBRARY_PATH: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:FOUND_PATH_FROM_1a CUDA SETUP: Solution 1c): For a permanent solution add the export from 1b into your .bashrc file, located at ~/.bashrc CUDA SETUP: Solution 2: If no library was found in step 1a) you need to install CUDA. CUDA SETUP: Solution 2a): Download CUDA install script: wget https://github.com/TimDettmers/bitsandbytes/blob/main/cuda_install.sh CUDA SETUP: Solution 2b): Install desired CUDA version to desired location. The syntax is bash cuda_install.sh CUDA_VERSION PATH_TO_INSTALL_INTO. CUDA SETUP: Solution 2b): For example, "bash cuda_install.sh 113 ~/local/" will download CUDA 11.3 and install into the folder ~/local Traceback (most recent call last): File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "C:\Users\H\AppData\Local\Programs\Python\Python310\Scripts\transparent-background.exe__main.py", line 4, in File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\transparent_background__init__.py", line 1, in from transparent_background.Remover import Remover, console File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\transparent_background\Remover.py", line 20, in from transparent_background.InSPyReNet import InSPyReNet_SwinB File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\transparent_background\InSPyReNet.py", line 12, in from transparent_background.modules.layers import * File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\transparent_background\modules\layers.py", line 8, in from kornia.morphology import dilation, erosion File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\kornia__init.py", line 11, in from . import augmentation, color, contrib, core, enhance, feature, io, losses, metrics, morphology, tracking, utils, x File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\kornia\x\init.py", line 2, in from .trainer import Trainer File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\kornia\x\trainer.py", line 11, in from accelerate import Accelerator File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\init.py", line 3, in from .accelerator import Accelerator File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\accelerator.py", line 35, in from .checkpointing import load_accelerator_state, load_custom_state, save_accelerator_state, save_custom_state File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\checkpointing.py", line 24, in from .utils import ( File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\utils\init.py", line 131, in from .bnb import has_4bit_bnb_layers, load_and_quantize_model File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\utils\bnb.py", line 42, in import bitsandbytes as bnb File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\init__.py", line 6, in from . import cuda_setup, utils, research File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\research\init.py", line 1, in from . import nn File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\research\nn\init.py", line 1, in from .modules import LinearFP8Mixed, LinearFP8Global File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\research\nn\modules.py", line 8, in from bitsandbytes.optim import GlobalOptimManager File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\optim\init__.py", line 6, in from bitsandbytes.cextension import COMPILED_WITH_CUDA File "C:\Users\H\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\cextension.py", line 20, in raise RuntimeError(''' RuntimeError: CUDA Setup failed despite GPU being available. Please run the following command to get more information:

    python -m bitsandbytes

    Inspect the output of the command and see if you can locate CUDA libraries. You might need to add them
    to your LD_LIBRARY_PATH. If you suspect a bug, please take the information from python -m bitsandbytes
    and open an issue at: https://github.com/TimDettmers/bitsandbytes/issues
huchang47 commented 1 year ago

两个可能性: 1.需要特定的Pytouch,而不是普通的CUDA,所以卸载原来的,运行组件安装,里面有 2.多个Pyhton环境导致的,工作流调用的标准的系统变量中的环境,如果你启动了其他的环境,导致组件缺失