Version mismatches in requirements file

[amrithkrish]

Hi,
I tried installing the packages present in the requirements file as per the doc on venv.
But there are multiple package version mismatches.

I also tried #139 (comment) with a new requirements file, but the issue seems to exist here as well.

Below are my Python and pip version :
Python 3.12.3
pip 24.0

Can you provide the correct package versions please?

[bolongliu]

Using pip install -r requirements.txt

(img2img-turbo) ➜  test cat requirements.txt 
accelerate==1.6.0
aiofiles==23.2.1
altair==5.5.0
annotated-types==0.7.0
annoy==1.17.3
antialiased-cnns==0.3
anyio==4.9.0
attrs==25.3.0
beautifulsoup4==4.13.4
blinker==1.9.0
cachetools==5.5.2
certifi==2025.4.26
charset-normalizer==3.4.1
clean-fid==0.1.35
click==8.1.3
clip @ git+https://ghfast.top/https://github.com/openai/CLIP.git@dcba3cb2e2827b402d2701e7e1c7d9fed8a20ef1
cmake==4.0.0
contourpy==1.3.2
cycler==0.12.1
diffusers==0.25.1
distro==1.8.0
docker-pycreds==0.4.0
dominate==2.9.1
einops==0.8.1
exceptiongroup==1.2.2
fastapi==0.115.12
ffmpy==0.5.0
filelock==3.18.0
fonttools==4.57.0
fsspec==2025.3.2
ftfy==6.3.1
gdown==4.4.0
gitdb==4.0.12
GitPython==3.1.44
gradio==3.43.1
gradio_client==0.5.0
h11==0.16.0
httpcore==1.0.9
httpx==0.28.1
huggingface-hub==0.25.0
idna==3.4
importlib_metadata==8.7.0
importlib_resources==6.5.2
Jinja2==3.1.6
jsonschema==4.23.0
jsonschema-specifications==2025.4.1
kiwisolver==1.4.8
lightning-utilities==0.14.3
lit==18.1.8
lpips==0.1.4
markdown-it-py==2.2.0
MarkupSafe==2.1.5
matplotlib==3.10.1
mdurl==0.1.2
mpmath==1.3.0
narwhals==1.37.0
networkx==3.4.2
numpy==1.26.4
nvidia-cublas-cu11==11.10.3.66
nvidia-cublas-cu12==12.4.5.8
nvidia-cuda-cupti-cu11==11.7.101
nvidia-cuda-cupti-cu12==12.4.127
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-nvrtc-cu12==12.4.127
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cuda-runtime-cu12==12.4.127
nvidia-cudnn-cu11==8.5.0.96
nvidia-cudnn-cu12==9.1.0.70
nvidia-cufft-cu11==10.9.0.58
nvidia-cufft-cu12==11.2.1.3
nvidia-curand-cu11==10.2.10.91
nvidia-curand-cu12==10.3.5.147
nvidia-cusolver-cu11==11.4.0.1
nvidia-cusolver-cu12==11.6.1.9
nvidia-cusparse-cu11==11.7.4.91
nvidia-cusparse-cu12==12.3.1.170
nvidia-cusparselt-cu12==0.6.2
nvidia-nccl-cu11==2.14.3
nvidia-nccl-cu12==2.21.5
nvidia-nvjitlink-cu12==12.4.127
nvidia-nvtx-cu11==11.7.91
nvidia-nvtx-cu12==12.4.127
open_clip_torch==2.32.0
opencv-python==4.6.0.66
orjson==3.10.16
packaging==24.2
pandas==2.2.3
peft==0.10.0
pillow==10.4.0
platformdirs==4.3.7
protobuf==5.29.4
psutil==7.0.0
pyarrow==20.0.0
pydantic==2.11.3
pydantic_core==2.33.1
pydeck==0.9.1
pydub==0.25.1
pyparsing==3.2.3
PySocks==1.7.1
python-dateutil==2.9.0.post0
python-multipart==0.0.20
pytz==2025.2
PyYAML==6.0.2
referencing==0.36.2
regex==2024.11.6
requests==2.32.3
rpds-py==0.24.0
safetensors==0.5.3
scipy==1.11.1
semantic-version==2.10.0
sentry-sdk==2.27.0
setproctitle==1.3.5
six==1.17.0
smmap==5.0.2
sniffio==1.3.1
soupsieve==2.7
starlette==0.46.2
streamlit==1.44.1
streamlit-keyup==0.2.0
sympy==1.13.1
tenacity==9.1.2
timm==1.0.15
tokenizers==0.15.2
toml==0.10.2
torch==2.0.1
torchaudio==2.0.2
torchdata==0.6.1
torchmetrics==1.7.1
torchvision==0.15.2
tornado==6.4.2
tqdm==4.67.1
transformers==4.37.2
triton==2.0.0
typing-inspection==0.4.0
typing_extensions==4.13.2
tzdata==2025.2
urllib3==1.26.20
uvicorn==0.34.2
vision-aided-loss==0.1.0
wandb==0.19.10
watchdog==6.0.0
wcwidth==0.2.13
websockets==11.0.3
xformers==0.0.22
zipp==3.21.0

Using conda env create -f environment.yml

(img2img-turbo) ➜  test cat environment.yml
name: img2img-turbo
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - bzip2=1.0.8=h5eee18b_6
  - ca-certificates=2025.2.25=h06a4308_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - libffi=3.4.4=h6a678d5_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - libuuid=1.41.5=h5eee18b_0
  - ncurses=6.4=h6a678d5_0
  - openssl=3.0.16=h5eee18b_0
  - pip=25.0=py310h06a4308_0
  - python=3.10.16=he870216_1
  - readline=8.2=h5eee18b_0
  - setuptools=75.8.0=py310h06a4308_0
  - sqlite=3.45.3=h5eee18b_0
  - tk=8.6.14=h39e8969_0
  - wheel=0.45.1=py310h06a4308_0
  - xz=5.6.4=h5eee18b_1
  - zlib=1.2.13=h5eee18b_1
  - pip:
      - accelerate==1.6.0
      - aiofiles==23.2.1
      - altair==5.5.0
      - annotated-types==0.7.0
      - antialiased-cnns==0.3
      - anyio==4.9.0
      - attrs==25.3.0
      - beautifulsoup4==4.13.4
      - blinker==1.9.0
      - cachetools==5.5.2
      - certifi==2025.4.26
      - charset-normalizer==3.4.1
      - clean-fid==0.1.35
      - clip==1.0
      - cmake==4.0.0
      - contourpy==1.3.2
      - cycler==0.12.1
      - diffusers==0.25.1
      - docker-pycreds==0.4.0
      - dominate==2.9.1
      - einops==0.8.1
      - exceptiongroup==1.2.2
      - fastapi==0.115.12
      - ffmpy==0.5.0
      - filelock==3.18.0
      - fonttools==4.57.0
      - fsspec==2025.3.2
      - ftfy==6.3.1
      - gdown==4.4.0
      - gitdb==4.0.12
      - gitpython==3.1.44
      - gradio==3.43.1
      - gradio-client==0.5.0
      - h11==0.16.0
      - httpcore==1.0.9
      - httpx==0.28.1
      - huggingface-hub==0.25.0
      - importlib-metadata==8.7.0
      - importlib-resources==6.5.2
      - jinja2==3.1.6
      - jsonschema==4.23.0
      - jsonschema-specifications==2025.4.1
      - kiwisolver==1.4.8
      - lightning-utilities==0.14.3
      - lit==18.1.8
      - lpips==0.1.4
      - markupsafe==2.1.5
      - matplotlib==3.10.1
      - mpmath==1.3.0
      - narwhals==1.37.0
      - networkx==3.4.2
      - numpy==1.26.4
      - nvidia-cublas-cu11==11.10.3.66
      - nvidia-cublas-cu12==12.4.5.8
      - nvidia-cuda-cupti-cu11==11.7.101
      - nvidia-cuda-cupti-cu12==12.4.127
      - nvidia-cuda-nvrtc-cu11==11.7.99
      - nvidia-cuda-nvrtc-cu12==12.4.127
      - nvidia-cuda-runtime-cu11==11.7.99
      - nvidia-cuda-runtime-cu12==12.4.127
      - nvidia-cudnn-cu11==8.5.0.96
      - nvidia-cudnn-cu12==9.1.0.70
      - nvidia-cufft-cu11==10.9.0.58
      - nvidia-cufft-cu12==11.2.1.3
      - nvidia-curand-cu11==10.2.10.91
      - nvidia-curand-cu12==10.3.5.147
      - nvidia-cusolver-cu11==11.4.0.1
      - nvidia-cusolver-cu12==11.6.1.9
      - nvidia-cusparse-cu11==11.7.4.91
      - nvidia-cusparse-cu12==12.3.1.170
      - nvidia-cusparselt-cu12==0.6.2
      - nvidia-nccl-cu11==2.14.3
      - nvidia-nccl-cu12==2.21.5
      - nvidia-nvjitlink-cu12==12.4.127
      - nvidia-nvtx-cu11==11.7.91
      - nvidia-nvtx-cu12==12.4.127
      - open-clip-torch==2.32.0
      - opencv-python==4.6.0.66
      - orjson==3.10.16
      - packaging==24.2
      - pandas==2.2.3
      - peft==0.10.0
      - pillow==10.4.0
      - platformdirs==4.3.7
      - protobuf==5.29.4
      - psutil==7.0.0
      - pyarrow==20.0.0
      - pydantic==2.11.3
      - pydantic-core==2.33.1
      - pydeck==0.9.1
      - pydub==0.25.1
      - pyparsing==3.2.3
      - pysocks==1.7.1
      - python-dateutil==2.9.0.post0
      - python-multipart==0.0.20
      - pytz==2025.2
      - pyyaml==6.0.2
      - referencing==0.36.2
      - regex==2024.11.6
      - requests==2.32.3
      - rpds-py==0.24.0
      - safetensors==0.5.3
      - scipy==1.11.1
      - semantic-version==2.10.0
      - sentry-sdk==2.27.0
      - setproctitle==1.3.5
      - six==1.17.0
      - smmap==5.0.2
      - sniffio==1.3.1
      - soupsieve==2.7
      - starlette==0.46.2
      - streamlit==1.44.1
      - streamlit-keyup==0.2.0
      - sympy==1.13.1
      - tenacity==9.1.2
      - timm==1.0.15
      - tokenizers==0.15.2
      - toml==0.10.2
      - torch==2.0.1
      - torchaudio==2.0.2
      - torchdata==0.6.1
      - torchmetrics==1.7.1
      - torchvision==0.15.2
      - tornado==6.4.2
      - tqdm==4.67.1
      - transformers==4.37.2
      - triton==2.0.0
      - typing-extensions==4.13.2
      - typing-inspection==0.4.0
      - tzdata==2025.2
      - urllib3==1.26.20
      - uvicorn==0.34.2
      - vision-aided-loss==0.1.0
      - wandb==0.19.10
      - watchdog==6.0.0
      - wcwidth==0.2.13
      - websockets==11.0.3
      - xformers==0.0.22
      - zipp==3.21.0
prefix: /home/your_name/miniconda3/envs/img2img-turbo

[bolongliu]

Hi, I tried installing the packages present in the requirements file as per the doc on venv. But there are multiple package version mismatches.

I also tried #139 (comment) with a new requirements file, but the issue seems to exist here as well.

Below are my Python and pip version : Python 3.12.3 pip 24.0

Can you provide the correct package versions please?

you can try my requriements.txt or environment.yml

[yulong-ge]

Hi, I tried installing the packages present in the requirements file as per the doc on venv. But there are multiple package version mismatches.
I also tried #139 (comment) with a new requirements file, but the issue seems to exist here as well.
Below are my Python and pip version : Python 3.12.3 pip 24.0
Can you provide the correct package versions please?

you can try my requriements.txt or environment.yml

it's work for me.Thank you very much!

[tavva-srinivas]

hello bolongliu
i tried using your requirement.txt in kaggle notebook, i am still facing the requirement mismatch

[bolongliu]

hello bolongliu i tried using your requirement.txt in kaggle notebook, i am still facing the requirement mismatch你好，博龙流 我尝试在 Kaggle Notebook 中使用您的requirement.txt，我仍然面临需求不匹配的问题

Maybe you can send your error info to ChatGPT or LLM to solve your problem.