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License: Apache License 2.0

Python 100.00%

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arielgoes

netdiffusion_generator's Issues

Cannot correctly install python requirements.

When trying to install requirements with the CLI commandpip install -r requirements, I got

ERROR: Invalid requirement: '_libgcc_mutex=0.1=main' (from line 4 of requirements.txt)
Hint: = is not a valid operator. Did you mean == ?

Then I check the requirements.txt file, and found some comments saying
" # This file may be used to create an environment using:
# $ conda create --name --file
# platform: linux-64 ...".
I tried install a whole-new virtual environment with conda create --name net-diffusion --file requirements.txt, unfortunately it failed again.

The fail message was:

Collecting package metadata (current_repodata.json): done
Solving environment: unsuccessful attempt using repodata from current_repodata.json, retrying with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - pygments==2.17.2=pypi_0
  - ca-certificates==2023.12.12=h06a4308_0
  - importlib-resources==6.1.1=pypi_0
  - lit==17.0.6=pypi_0
  - nvidia-cusparse-cu11==11.7.4.91=pypi_0
  - jinja2==3.1.3=pypi_0
  - aiosignal==1.3.1=pypi_0
  - python-multipart==0.0.9=pypi_0
  - nvidia-cuda-nvrtc-cu11==11.7.99=pypi_0
  - wandb==0.15.11=pypi_0
  - coloredlogs==15.0.1=pypi_0
  - opt-einsum==3.3.0=pypi_0
  - tqdm==4.66.2=pypi_0
  - opencv-python==4.7.0.68=pypi_0
  - cycler==0.12.1=pypi_0
  - nvidia-nvjitlink-cu12==12.3.101=pypi_0
  - zipp==3.17.0=pypi_0
  - sentry-sdk==1.40.5=pypi_0
  - pyparsing==3.1.1=pypi_0
  - cachetools==5.3.2=pypi_0
  - appdirs==1.4.4=pypi_0
  - onnxruntime-gpu==1.16.0=pypi_0
  - nvidia-cublas-cu11==11.10.3.66=pypi_0
  - tzdata==2023d=h04d1e81_0
  - requests-oauthlib==1.3.1=pypi_0
  - setuptools==68.2.2=py310h06a4308_0
  - certifi==2024.2.2=py310h06a4308_0
  - numexpr==2.8.7=py310h85018f9_0
  - tbb==2021.8.0=hdb19cb5_0
  - xformers==0.0.21=pypi_0
  - blas==1.0=mkl
  - sympy==1.12=pypi_0
  - smmap==5.0.1=pypi_0
  - wheel==0.41.2=py310h06a4308_0
  - h5py==3.10.0=pypi_0
  - packaging==23.2=pypi_0
  - importlib-metadata==7.0.1=pypi_0
  - gast==0.5.4=pypi_0
  - libwebp-base==1.3.2=h5eee18b_0
  - astunparse==1.6.3=pypi_0
  - oauthlib==3.2.2=pypi_0
  - fsspec==2024.2.0=pypi_0
  - markdown==3.5.1=pypi_0
  - numpy-base==1.26.3=py310hb5e798b_0
  - numpy==1.26.1=pypi_0
  - nvidia-cuda-runtime-cu12==12.1.105=pypi_0
  - libclang==16.0.6=pypi_0
  - tensorboard-data-server==0.7.2=pypi_0
  - libpng==1.6.39=h5eee18b_0
  - rsa==4.9=pypi_0
  - sqlite==3.41.2=h5eee18b_0
  - transformers==4.36.2=pypi_0
  - markdown-it-py==2.2.0=pypi_0
  - docker-pycreds==0.4.0=pypi_0
  - mpmath==1.3.0=pypi_0
  - frozenlist==1.4.1=pypi_0
  - diffusers==0.25.0=pypi_0
  - absl-py==2.0.0=pypi_0
  - attrs==23.2.0=pypi_0
  - ffmpy==0.3.2=pypi_0
  - bottleneck==1.3.7=py310ha9d4c09_0
  - setproctitle==1.3.3=pypi_0
  - grpcio==1.59.2=pypi_0
  - pip==23.3.1=py310h06a4308_0
  - freetype==2.12.1=h4a9f257_0
  - tensorboard==2.14.1=pypi_0
  - mkl-service==2.4.0=py310h5eee18b_1
  - safetensors==0.4.2=pypi_0
  - anyio==4.3.0=pypi_0
  - antlr4-python3-runtime==4.9.3=pypi_0
  - libgcc-ng==11.2.0=h1234567_1
  - nvidia-cufft-cu12==11.0.2.54=pypi_0
  - pydantic==2.6.1=pypi_0
  - _libgcc_mutex==0.1
  - yarl==1.9.4=pypi_0
  - gradio==3.50.2=pypi_0
  - libuuid==1.41.5=h5eee18b_0
  - orjson==3.9.14=pypi_0
  - pytz==2023.3.post1=py310h06a4308_0
  - ml-dtypes==0.2.0=pypi_0
  - omegaconf==2.3.0=pypi_0
  - uvicorn==0.27.1=pypi_0
  - altair==4.2.2=pypi_0
  - nvidia-cudnn-cu12==8.9.2.26=pypi_0
  - charset-normalizer==3.3.2=pypi_0
  - pathtools==0.1.2=pypi_0
  - pytorch-lightning==1.9.0=pypi_0
  - starlette==0.36.3=pypi_0
  - ftfy==6.1.1=pypi_0
  - httpx==0.27.0=pypi_0
  - fairscale==0.4.13=pypi_0
  - jpeg==9e=h5eee18b_1
  - nvidia-nvtx-cu11==11.7.91=pypi_0
  - tensorflow-estimator==2.14.0=pypi_0
  - toml==0.10.2=pypi_0
  - markupsafe==2.1.3=pypi_0
  - lz4-c==1.9.4=h6a678d5_0
  - torchmetrics==1.3.1=pypi_0
  - pydub==0.25.1=pypi_0
  - triton==2.2.0=pypi_0
  - tensorflow-io-gcs-filesystem==0.34.0=pypi_0
  - nvidia-cublas-cu12==12.1.3.1=pypi_0
  - prodigyopt==1.0=pypi_0
  - google-auth==2.23.4=pypi_0
  - nvidia-nccl-cu12==2.19.3=pypi_0
  - libffi==3.4.4=h6a678d5_0
  - onnx==1.14.1=pypi_0
  - huggingface-hub==0.20.1=pypi_0
  - websockets==11.0.3=pypi_0
  - openjpeg==2.4.0=h3ad879b_0
  - pandas==2.1.4=py310h1128e8f_0
  - scapy==2.5.0=pypi_0
  - nvidia-nccl-cu11==2.14.3=pypi_0
  - openssl==1.1.1w=h7f8727e_0
  - annotated-types==0.6.0=pypi_0
  - gitpython==3.1.42=pypi_0
  - six==1.16.0=pyhd3eb1b0_1
  - rich==13.4.1=pypi_0
  - toolz==0.12.1=pypi_0
  - ncurses==6.4=h6a678d5_0
  - lightning-utilities==0.10.1=pypi_0
  - _openmp_mutex==5.1=1_gnu
  - exceptiongroup==1.2.0=pypi_0
  - gradio-client==0.6.1=pypi_0
  - tensorrt-bindings==8.6.1=pypi_0
  - pillow==10.2.0=py310h5eee18b_0
  - tensorrt-libs==8.6.1=pypi_0
  - tensorrt==8.6.1.post1=pypi_0
  - lcms2==2.12=h3be6417_0
  - entrypoints==0.4=pypi_0
  - readline==8.2=h5eee18b_0
  - ld_impl_linux-64==2.38=h1181459_1
  - flatbuffers==23.5.26=pypi_0
  - termcolor==2.3.0=pypi_0
  - aiohttp==3.9.3=pypi_0
  - libgomp==11.2.0=h1234567_1
  - werkzeug==3.0.1=pypi_0
  - sentencepiece==0.2.0=pypi_0
  - httpcore==1.0.4=pypi_0
  - easygui==0.98.3=pypi_0
  - async-timeout==4.0.3=pypi_0
  - nvidia-cuda-cupti-cu11==11.7.101=pypi_0
  - xz==5.4.5=h5eee18b_0
  - mdurl==0.1.2=pypi_0
  - pyasn1-modules==0.3.0=pypi_0
  - kiwisolver==1.4.5=pypi_0
  - google-auth-oauthlib==1.0.0=pypi_0
  - nvidia-cusparse-cu12==12.1.0.106=pypi_0
  - aiofiles==23.2.1=pypi_0
  - pyyaml==6.0.1=pypi_0
  - wrapt==1.14.1=pypi_0
  - google-pasta==0.2.0=pypi_0
  - nvidia-cufft-cu11==10.9.0.58=pypi_0
  - multidict==6.0.5=pypi_0
  - mkl_random==1.2.4=py310hdb19cb5_0
  - referencing==0.33.0=pypi_0
  - typing-extensions==4.8.0=pypi_0
  - jsonschema-specifications==2023.12.1=pypi_0
  - python-tzdata==2023.3=pyhd3eb1b0_0
  - tensorflow==2.14.0=pypi_0
  - tokenizers==0.15.2=pypi_0
  - nvidia-cuda-nvrtc-cu12==12.1.105=pypi_0
  - accelerate==0.25.0=pypi_0
  - filelock==3.13.1=pypi_0
  - matplotlib==3.8.3=pypi_0
  - nvidia-cuda-runtime-cu11==11.7.99=pypi_0
  - voluptuous==0.13.1=pypi_0
  - libdeflate==1.17=h5eee18b_1
  - h11==0.14.0=pypi_0
  - einops==0.6.1=pypi_0
  - nvidia-cusolver-cu11==11.4.0.1=pypi_0
  - lion-pytorch==0.0.6=pypi_0
  - nvidia-cusolver-cu12==11.4.5.107=pypi_0
  - rpds-py==0.18.0=pypi_0
  - python==3.10.9=h7a1cb2a_2
  - fonttools==4.49.0=pypi_0
  - python-dateutil==2.8.2=pyhd3eb1b0_0
  - idna==3.4=pypi_0
  - pywavelets==1.5.0=pypi_0
  - mkl==2023.1.0=h213fc3f_46344
  - networkx==3.2.1=pypi_0
  - humanfriendly==10.0=pypi_0
  - nvidia-cudnn-cu11==8.5.0.96=pypi_0
  - urllib3==2.0.7=pypi_0
  - click==8.1.7=pypi_0
  - contourpy==1.2.0=pypi_0
  - jsonschema==4.21.1=pypi_0
  - intel-openmp==2023.1.0=hdb19cb5_46306
  - nvidia-nvtx-cu12==12.1.105=pypi_0
  - requests==2.31.0=pypi_0
  - invisible-watermark==0.2.0=pypi_0
  - nvidia-curand-cu11==10.2.10.91=pypi_0
  - bzip2==1.0.8=h7b6447c_0
  - pyasn1==0.5.0=pypi_0
  - keras==2.14.0=pypi_0
  - zlib==1.2.13=h5eee18b_0
  - mkl_fft==1.3.8=py310h5eee18b_0
  - fastapi==0.109.2=pypi_0
  - libstdcxx-ng==11.2.0=h1234567_1
  - torch==2.2.0=pypi_0
  - semantic-version==2.10.0=pypi_0
  - libtiff==4.5.1=h6a678d5_0
  - sniffio==1.3.0=pypi_0
  - wcwidth==0.2.13=pypi_0
  - psutil==5.9.8=pypi_0
  - nvidia-cuda-cupti-cu12==12.1.105=pypi_0
  - zstd==1.5.5=hc292b87_0
  - lycoris-lora==2.0.2=pypi_0
  - dadaptation==3.1=pypi_0
  - pydantic-core==2.16.2=pypi_0
  - nvidia-curand-cu12==10.3.2.106=pypi_0
  - protobuf==3.20.3=pypi_0
  - regex==2023.12.25=pypi_0
  - cmake==3.28.3=pypi_0
  - tk==0.1.0=pypi_0
  - lerc==3.0=h295c915_0
  - bitsandbytes==0.41.1=pypi_0
  - scipy==1.11.4=pypi_0
  - gitdb==4.0.11=pypi_0

Current channels:

  - https://conda.anaconda.org/default/linux-64
  - https://conda.anaconda.org/default/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page.

Is there any other way to get things done? Could you double check the requirements.txt file?

cannot get webUI correctly

Suggested changes for installing Netdiffusion dependencies.

Please consider making the YAML configuration file public to facilitate the installation of Netdiffusion. Currently, the requirements.txt file is not usable by the pip utility.

In my case, I had to create a YAML configuration file from the requirements file thanks to the script provided here: https://gist.github.com/mfansler/5a1a703d1ac6bb2139547003248c3827
In your case, you can create the correct YAML when your environment is active, with this command:
conda env export | head -n -1 | tail -n +2 > environment.yml

Then I create a new virtual environment with the following:
conda create --name my_env pip python=3.10.9

and activate the environment with
conda activate my_env

Then I installed tensorrt-libs from the pypi nvidia repository, as this package is not available in pypi and conda cannot resolve it:
pip install --extra-index-url https://pypi.nvidia.com tensorrt-libs
This step is mandatory to install all requirements listed in the YAML config file.

Next, I downgraded torch and triton to 2.0.1 and 2.0.0 respectively, because some packages were not compatible with torch 2.2.0 stated in the original requirements.txt

Finally, I updated all dependencies with:
conda env update -n my_env -f environment.yml

Cannot generate the example image

How can I generate the netflix_05.png?

I've been trying distinct parameter configurations. However, it is not clear what ControlNet (w/ Canny) + Generation configurations you used.

Also is it expected the error: Lora not found: test_task_model?

I have ControlNet extension installed and identified.

I fed ControlNet with nextflix_01.png

error in executing webui.sh

when I tried Data Preprocessing. It turns out that no results appeared when I executed:

# Leverage Stable Diffusion WebUI for initial caption creation
cd ../../sd-webui-fork/stable-diffusion-webui/
# Lunch WebUI
bash webui.sh

And this is what happened:

There is nothing in http://127.0.0.1:7860

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