Automatic1111 works way slower than Forge and ComfyUI on Linux Ubuntu A6000 GPU

[FurkanGozukara]

This doesn't make sense to me. I am open every suggestion to experiment and test

I can execute any command and make any changes

Automatic1111 vs Forge vs ComfyUI on our Massed Compute VM image - 3.63 it vs 4.9 it vs 5.35 it

Only xformers command line argument is used. No other command line arguments. Fresh install - default settings

ComfyUI and Forge are default installations
Forge doesn't even have xFormers enabled
System has CUDA 11.8

Here more info

Automatic1111 vs Forge vs ComfyUI on our Massed Compute VM image - 3.63 it vs 4.9 it vs 5.35 it

This is running on Massed Compute A6000 - 31 cents per hour more info here : https://youtu.be/HLWLSszHwEc

Pip Freeze Info

(venv) Ubuntu@0047-kci-prxmx10021:~/apps/stable-diffusion-webui$ pip freeze
accelerate==0.21.0
aenum==3.1.15
aiofiles==23.2.1
aiohttp==3.9.5
aiosignal==1.3.1
altair==5.3.0
antlr4-python3-runtime==4.9.3
anyio==3.7.1
async-timeout==4.0.3
attrs==23.2.0
blendmodes==2022
certifi==2024.2.2
charset-normalizer==3.3.2
clean-fid==0.1.35
click==8.1.7
clip==1.0
contourpy==1.2.1
cycler==0.12.1
deprecation==2.1.0
diskcache==5.6.3
einops==0.4.1
exceptiongroup==1.2.1
facexlib==0.3.0
fastapi==0.94.0
ffmpy==0.3.2
filelock==3.14.0
filterpy==1.4.5
fonttools==4.53.0
frozenlist==1.4.1
fsspec==2024.5.0
ftfy==6.2.0
gitdb==4.0.11
GitPython==3.1.32
gradio==3.41.2
gradio_client==0.5.0
h11==0.12.0
httpcore==0.15.0
httpx==0.24.1
huggingface-hub==0.23.2
idna==3.7
imageio==2.34.1
importlib_resources==6.4.0
inflection==0.5.1
Jinja2==3.1.4
jsonmerge==1.8.0
jsonschema==4.22.0
jsonschema-specifications==2023.12.1
kiwisolver==1.4.5
kornia==0.6.7
lark==1.1.2
lazy_loader==0.4
lightning-utilities==0.11.2
llvmlite==0.42.0
MarkupSafe==2.1.5
matplotlib==3.9.0
mpmath==1.3.0
multidict==6.0.5
networkx==3.3
numba==0.59.1
numpy==1.26.2
omegaconf==2.2.3
open-clip-torch==2.20.0
opencv-python==4.9.0.80
orjson==3.10.3
packaging==24.0
pandas==2.2.2
piexif==1.1.3
Pillow==9.5.0
pillow-avif-plugin==1.4.3
protobuf==3.20.0
psutil==5.9.5
pydantic==1.10.15
pydub==0.25.1
pyparsing==3.1.2
python-dateutil==2.9.0.post0
python-multipart==0.0.9
pytorch-lightning==1.9.4
pytz==2024.1
PyWavelets==1.6.0
PyYAML==6.0.1
referencing==0.35.1
regex==2024.5.15
requests==2.32.3
resize-right==0.0.2
rpds-py==0.18.1
safetensors==0.4.2
scikit-image==0.21.0
scipy==1.13.1
semantic-version==2.10.0
sentencepiece==0.2.0
six==1.16.0
smmap==5.0.1
sniffio==1.3.1
spandrel==0.1.6
starlette==0.26.1
sympy==1.12.1
tifffile==2024.5.22
timm==1.0.3
tokenizers==0.13.3
tomesd==0.1.3
toolz==0.12.1
torch==2.1.2+cu121
torchdiffeq==0.2.3
torchmetrics==1.4.0.post0
torchsde==0.2.6
torchvision==0.16.2+cu121
tqdm==4.66.4
trampoline==0.1.2
transformers==4.30.2
triton==2.1.0
typing_extensions==4.12.0
tzdata==2024.1
urllib3==2.2.1
uvicorn==0.30.0
wcwidth==0.2.13
websockets==11.0.3
xformers==0.0.23.post1
yarl==1.9.4