Closed TigerHH6866 closed 2 months ago
Update pytorch to 2.4.1
Update pytorch to 2.4.1
Steps to do it?
(base) C:\Users\ZeroCool22\Desktop\SwarmUI\dlbackend\comfy\ComfyUI>pip list
Package Version
----------------------------- ---------------
alabaster 0.7.12
anaconda-client 1.11.1
anaconda-navigator 2.4.0
anaconda-project 0.11.1
annotated-types 0.6.0
anyio 3.5.0
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
arrow 1.2.3
astroid 2.14.2
astropy 5.1
asttokens 2.0.5
atomicwrites 1.4.0
attrs 22.1.0
Automat 20.2.0
autopep8 1.6.0
Babel 2.11.0
backcall 0.2.0
backports.functools-lru-cache 1.6.4
backports.tempfile 1.0
backports.weakref 1.0.post1
bcrypt 3.2.0
beautifulsoup4 4.11.1
binaryornot 0.4.4
black 22.6.0
bleach 4.1.0
bokeh 2.4.3
Bottleneck 1.3.5
brotlipy 0.7.0
certifi 2024.7.4
cffi 1.15.1
chardet 4.0.0
charset-normalizer 2.0.4
click 8.0.4
cloudpickle 2.0.0
clyent 1.2.2
colorama 0.4.6
colorcet 3.0.1
comm 0.1.2
conda 23.1.0
conda-build 3.23.3
conda-content-trust 0.1.3
conda-pack 0.6.0
conda-package-handling 2.0.2
conda_package_streaming 0.7.0
conda-repo-cli 1.0.27
conda-token 0.4.0
conda-verify 3.4.2
constantly 15.1.0
contourpy 1.0.5
cookiecutter 1.7.3
cryptography 39.0.1
cssselect 1.1.0
cycler 0.11.0
cytoolz 0.12.0
daal4py 2023.0.2
dask 2022.7.0
datashader 0.14.4
datashape 0.5.4
debugpy 1.5.1
decorator 5.1.1
defusedxml 0.7.1
diff-match-patch 20200713
dill 0.3.6
distributed 2022.7.0
docstring-to-markdown 0.11
docutils 0.18.1
entrypoints 0.4
et-xmlfile 1.1.0
executing 0.8.3
fastapi 0.103.0
fastjsonschema 2.16.2
filelock 3.9.0
flake8 6.0.0
Flask 2.2.2
flit_core 3.6.0
fonttools 4.25.0
fsspec 2022.11.0
future 0.18.3
gensim 4.3.0
glob2 0.7
greenlet 2.0.1
h5py 3.7.0
HeapDict 1.0.1
holoviews 1.15.4
huggingface-hub 0.10.1
hvplot 0.8.2
hyperlink 21.0.0
idna 3.4
imagecodecs 2021.8.26
imageio 2.26.0
imagesize 1.4.1
imbalanced-learn 0.10.1
importlib-metadata 4.11.3
incremental 21.3.0
inflection 0.5.1
iniconfig 1.1.1
intake 0.6.7
intervaltree 3.1.0
ipykernel 6.19.2
ipython 8.10.0
ipython-genutils 0.2.0
ipywidgets 7.6.5
isort 5.9.3
itemadapter 0.3.0
itemloaders 1.0.4
itsdangerous 2.0.1
jedi 0.18.1
jellyfish 0.9.0
Jinja2 3.1.2
jinja2-time 0.2.0
jmespath 0.10.0
joblib 1.1.1
json5 0.9.6
jsonschema 4.17.3
jupyter 1.0.0
jupyter_client 7.3.4
jupyter-console 6.6.2
jupyter_core 5.2.0
jupyter-server 1.23.4
jupyterlab 3.5.3
jupyterlab-pygments 0.1.2
jupyterlab_server 2.19.0
jupyterlab-widgets 1.0.0
keyring 23.4.0
kiwisolver 1.4.4
lazy-object-proxy 1.6.0
libarchive-c 2.9
llvmlite 0.39.1
locket 1.0.0
lxml 4.9.1
lz4 3.1.3
Markdown 3.4.1
MarkupSafe 2.1.1
matplotlib 3.7.0
matplotlib-inline 0.1.6
mccabe 0.7.0
menuinst 1.4.19
mistune 0.8.4
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
mock 4.0.3
mpmath 1.2.1
msgpack 1.0.3
multipledispatch 0.6.0
munkres 1.1.4
mypy-extensions 0.4.3
navigator-updater 0.3.0
nbclassic 0.5.2
nbclient 0.5.13
nbconvert 6.5.4
nbformat 5.7.0
nest-asyncio 1.5.6
networkx 2.8.4
nltk 3.7
notebook 6.5.2
notebook_shim 0.2.2
numba 0.56.4
numexpr 2.8.4
numpy 1.23.5
numpydoc 1.5.0
openpyxl 3.0.10
packaging 22.0
pandas 1.5.3
pandocfilters 1.5.0
panel 0.14.3
param 1.12.3
paramiko 2.8.1
parsel 1.6.0
parso 0.8.3
partd 1.2.0
pathlib 1.0.1
pathspec 0.10.3
patsy 0.5.3
pep8 1.7.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.4.0
pip 24.2
pkginfo 1.8.3
platformdirs 2.5.2
plotly 5.9.0
pluggy 1.0.0
ply 3.11
pooch 1.4.0
poyo 0.5.0
prometheus-client 0.14.1
prompt-toolkit 3.0.36
Protego 0.1.16
psutil 5.9.0
ptyprocess 0.7.0
pure-eval 0.2.2
py 1.11.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycodestyle 2.10.0
pycosat 0.6.4
pycparser 2.21
pyct 0.5.0
pycurl 7.45.1
pydantic 2.5.3
pydantic_core 2.14.6
PyDispatcher 2.0.5
pydocstyle 6.3.0
pyerfa 2.0.0
pyflakes 3.0.1
Pygments 2.11.2
PyHamcrest 2.0.2
PyJWT 2.4.0
pylint 2.16.2
pylint-venv 2.3.0
pyls-spyder 0.4.0
PyNaCl 1.5.0
pyodbc 4.0.34
pyOpenSSL 23.0.0
pyparsing 3.0.9
PyQt5 5.15.7
PyQt5-sip 12.11.0
PyQtWebEngine 5.15.4
pyrsistent 0.18.0
PySocks 1.7.1
pytest 7.1.2
python-dateutil 2.8.2
python-lsp-black 1.2.1
python-lsp-jsonrpc 1.0.0
python-lsp-server 1.7.1
python-slugify 5.0.2
python-snappy 0.6.1
pytoolconfig 1.2.5
pytz 2022.7
pyviz-comms 2.0.2
PyWavelets 1.4.1
pywin32 305.1
pywin32-ctypes 0.2.0
pywinpty 2.0.10
PyYAML 6.0
pyzmq 23.2.0
QDarkStyle 3.0.2
qstylizer 0.2.2
QtAwesome 1.2.2
qtconsole 5.4.0
QtPy 2.2.0
queuelib 1.5.0
regex 2022.7.9
requests 2.28.1
requests-file 1.5.1
rope 1.7.0
Rtree 1.0.1
ruamel.yaml 0.17.21
ruamel.yaml.clib 0.2.6
ruamel-yaml-conda 0.17.21
scikit-image 0.19.3
scikit-learn 1.2.1
scikit-learn-intelex 20230228.214818
scipy 1.10.0
Scrapy 2.8.0
seaborn 0.12.2
Send2Trash 1.8.0
service-identity 18.1.0
setuptools 65.6.3
sip 6.6.2
six 1.16.0
smart-open 5.2.1
sniffio 1.2.0
snowballstemmer 2.2.0
sortedcontainers 2.4.0
soupsieve 2.3.2.post1
Sphinx 5.0.2
sphinxcontrib-applehelp 1.0.2
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
spyder 5.4.1
spyder-kernels 2.4.1
SQLAlchemy 1.4.39
stack-data 0.2.0
starlette 0.27.0
statsmodels 0.13.5
sympy 1.11.1
tables 3.7.0
tabulate 0.8.10
TBB 0.2
tblib 1.7.0
tenacity 8.0.1
terminado 0.17.1
text-unidecode 1.3
textdistance 4.2.1
threadpoolctl 2.2.0
three-merge 0.1.1
tifffile 2021.7.2
tinycss2 1.2.1
tldextract 3.2.0
tokenizers 0.11.4
toml 0.10.2
tomli 2.0.1
tomlkit 0.11.1
toolz 0.12.0
torch 2.4.0+cu124
torchaudio 2.4.0+cu124
torchvision 0.19.0+cu124
tornado 6.1
tqdm 4.64.1
traitlets 5.7.1
transformers 4.24.0
Twisted 22.2.0
twisted-iocpsupport 1.0.2
typing_extensions 4.11.0
ujson 5.4.0
Unidecode 1.2.0
urllib3 1.26.14
w3lib 1.21.0
watchdog 2.1.6
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 0.58.0
Werkzeug 2.2.2
whatthepatch 1.0.2
wheel 0.38.4
widgetsnbextension 3.5.2
win-inet-pton 1.1.0
wincertstore 0.2
wrapt 1.14.1
xarray 2022.11.0
xformers 0.0.28.dev887
xlwings 0.29.1
yapf 0.31.0
zict 2.1.0
zipp 3.11.0
zope.interface 5.4.0
zstandard 0.19.0
(base) C:\Users\ZeroCool22\Desktop\SwarmUI\dlbackend\comfy\ComfyUI>
What commend i need to run?
CUDA Windows/Linux:
conda install pytorch=2.4.1 torchvision torchaudio pytorch-cuda=12.4 -c pytorch-test -c nvidia
Or
PIP CUDA: Windows/Linux:
pip3 install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/test/cu124
I have updated the torch to 2.4.1 and test on both 3090 and 4090, but i can not use highvram mode to use flux workflows, even without lora and controlnet, how can i use highvram
Expected Behavior
flux+cn+lora, when ksamper it OOM
sys info
Total VRAM 24253 MB, total RAM 773393 MB pytorch version: 2.1.2+cu121 xformers version: 0.0.23.post1 Set vram state to: HIGH_VRAM Device: cuda:0 NVIDIA GeForce RTX 3090 : cudaMallocAsync Using xformers cross attention
flux.1_t2i_cn_lora.json
Actual Behavior
just run a flux workflow ,1 lora and 1 cn
Steps to Reproduce
just run a flux workflow ,1 lora and 1 cn
Debug Logs
Other
No response