Open FurkanGozukara opened 4 months ago
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
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
so it is ... maybe read the text on forge website : D
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