Closed yggdrasil75 closed 2 weeks ago
User error.
Run it as instructed: ./start-ui.sh
The difference is that when you manually run bash
you're messing up the value of ${BASH_SOURCE[0]}
; the path to the currently executing script becomes whatever you provided on the bash <script name>
command line rather than being an actual usable path.
For example, you could use bash ./start-ui.sh
to avoid that problem, by providing a usable path to bash. But you should not be using bash
at all. Because it bypasses the intended shell that the script was written in, and also causes bash to behave a bit differently, as you just experienced. We will not support all the quirks of such a weird way to launch the scripts. Even adding a warning message about it would require way too much code clutter/hassle for something that nobody should be doing. :)
In general, you should never run anyone's Unix scripts by saying bash <script name>
and I'm curious where you got that idea from? Always run them by directly executing the script: ./start-ui.sh
. This then uses the script's shebang line (the #!
at the top) to run the script with the correct shell/interpreter and environment. For instance, sometimes shell scripts are literally written in Python and use #!/usr/bin/env python
as its shebang line. That would completely break if you try to force bash
to run that script. Never do that. :)
The correct method of running scripts even works when adding OneTrainer to your PATH
and running start-ui.sh
directly as a global command (without any leading ./
). Because as long as the script is executed correctly (by itself; NOT as an argument to bash
or any other shell), then the ${BASH_SOURCE[0]}
value's path will be valid and usable by us.
There's detailed documentation here if you want to learn more about the new launcher:
https://github.com/Nerogar/OneTrainer/blob/master/LAUNCH-SCRIPTS.md
By the way, if you're using Conda (if conda
is a valid command on your system), beware that the GUI fonts are broken until #481 is merged. That pull request fixes a 10 month old issue. And after merge, you'll need to delete the old conda_env
directory to let it reinstall with the font rendering support.
If you want to have the fix immediately, there's a command in a comment in that pull request, showing you how to download that fix before it's been merged. Edit: It's merged. You can use the official OneTrainer.
Let me know if you have any other questions. :)
What happened?
did not start. install.sh, start-ui.sh, both break
What did you expect would happen?
start program
Relevant log output
Output of
pip freeze
freeze
```absl-py==2.1.0 accelerate==0.30.1 aiohappyeyeballs==2.4.3 aiohttp==3.10.8 aiosignal==1.3.1 antlr4-python3-runtime==4.9.3 astunparse==1.6.3 async-timeout==4.0.3 attrs==24.2.0 bitsandbytes==0.43.3 cachetools==5.3.3 certifi==2024.8.30 charset-normalizer==3.3.2 cloudpickle==3.0.0 coloredlogs==15.0.1 contourpy==1.3.0 customtkinter==5.2.2 cycler==0.12.1 dadaptation==3.2 darkdetect==0.8.0 -e git+https://github.com/huggingface/diffusers.git@2ee3215949d8f2d3141c2340d8e4d24ec94b2384#egg=diffusers filelock==3.16.1 flatbuffers==24.3.25 fonttools==4.54.1 frozenlist==1.4.1 fsspec==2024.9.0 ftfy==6.2.3 gast==0.5.4 google-auth==2.29.0 google-auth-oauthlib==1.2.0 google-pasta==0.2.0 grpcio==1.66.2 h5py==3.11.0 huggingface-hub==0.23.3 humanfriendly==10.0 idna==3.10 importlib_metadata==8.5.0 invisible-watermark==0.2.0 Jinja2==3.1.4 keras==3.3.3 kiwisolver==1.4.7 libclang==18.1.1 lightning-utilities==0.11.7 lion-pytorch==0.1.4 Markdown==3.7 markdown-it-py==3.0.0 MarkupSafe==2.1.5 matplotlib==3.9.0 mdurl==0.1.2 -e git+https://github.com/Nerogar/mgds.git@85bf18746488a898818c36eca651d24734f87431#egg=mgds ml-dtypes==0.3.2 mpmath==1.3.0 multidict==6.1.0 namex==0.0.8 networkx==3.3 numpy==1.26.4 nvidia-cublas-cu11==11.11.3.6 nvidia-cublas-cu12==12.3.4.1 nvidia-cuda-cupti-cu11==11.8.87 nvidia-cuda-cupti-cu12==12.3.101 nvidia-cuda-nvcc-cu12==12.3.107 nvidia-cuda-nvrtc-cu11==11.8.89 nvidia-cuda-nvrtc-cu12==12.3.107 nvidia-cuda-runtime-cu11==11.8.89 nvidia-cuda-runtime-cu12==12.3.101 nvidia-cudnn-cu11==8.7.0.84 nvidia-cudnn-cu12==8.9.7.29 nvidia-cufft-cu11==10.9.0.58 nvidia-cufft-cu12==11.0.12.1 nvidia-curand-cu11==10.3.0.86 nvidia-curand-cu12==10.3.4.107 nvidia-cusolver-cu11==11.4.1.48 nvidia-cusolver-cu12==11.5.4.101 nvidia-cusparse-cu11==11.7.5.86 nvidia-cusparse-cu12==12.2.0.103 nvidia-nccl-cu11==2.20.5 nvidia-nccl-cu12==2.19.3 nvidia-nvjitlink-cu12==12.3.101 nvidia-nvtx-cu11==11.8.86 nvidia-nvtx-cu12==12.1.105 oauthlib==3.2.2 omegaconf==2.3.0 onnxruntime==1.18.0 onnxruntime-gpu==1.18.0 open-clip-torch==2.24.0 opencv-python==4.9.0.80 opt-einsum==3.3.0 optree==0.11.0 packaging==24.1 pillow==10.3.0 platformdirs==4.3.6 pooch==1.8.1 prodigyopt==1.0 protobuf==4.25.5 psutil==6.0.0 pyasn1==0.6.0 pyasn1_modules==0.4.0 Pygments==2.18.0 pynvml==11.5.0 pyparsing==3.1.4 python-dateutil==2.9.0.post0 pytorch-lightning==2.2.5 pytorch_optimizer==3.0.2 PyWavelets==1.7.0 PyYAML==6.0.1 regex==2024.9.11 requests==2.32.3 requests-oauthlib==2.0.0 rich==13.8.1 rsa==4.9 safetensors==0.4.3 scalene==1.5.41 schedulefree==1.2.5 scipy==1.13.1 sentencepiece==0.2.0 six==1.16.0 sympy==1.13.3 tensorboard==2.17.0 tensorboard-data-server==0.7.2 tensorflow==2.16.1 tensorflow-io-gcs-filesystem==0.37.0 tensorrt==10.0.1 tensorrt-cu12==10.0.1 tensorrt-cu12-bindings==10.0.1 tensorrt-cu12-libs==10.0.1 tensorrt-dispatch-cu12-bindings==10.0.1 tensorrt-dispatch-cu12-libs==10.0.1 tensorrt-lean-cu12-bindings==10.0.1 tensorrt-lean-cu12-libs==10.0.1 tensorrt_dispatch==10.0.1 tensorrt_dispatch-cu12==10.0.1 tensorrt_lean==10.0.1 tensorrt_lean-cu12==10.0.1 termcolor==2.4.0 timm==1.0.9 tokenizers==0.19.1 torch==2.3.1+cu118 torchaudio==2.3.1+cu121 torchmetrics==1.4.2 torchvision==0.18.1+cu118 tqdm==4.66.4 transformers==4.42.3 triton==2.3.1 typing_extensions==4.12.2 urllib3==2.2.3 wcwidth==0.2.13 Werkzeug==3.0.4 wrapt==1.16.0 xformers==0.0.27+cu118 yarl==1.13.1 zipp==3.20.2```