Repository: stable-diffusion-webui
Issue: [Bug]: Automatic1111 works way slower than Forge and ComfyUI on Linux Ubuntu A6000 GPU
Labels: bug-report

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

![image](https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/19240467/d3807eb1-f3dd-4318-9069-2d05cff786f6)

![image](https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/19240467/e405c37b-4e50-4122-a235-9f2dbb460118)


Automatic1111 vs Forge vs ComfyUI on our Massed Compute VM image - 3.63 it vs 4.9 it vs 5.35 it

![image](https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/19240467/7139fc8f-f093-47aa-8aeb-6594c05d68f3)


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
```