Closed silverhammer751 closed 8 months ago
I removed --lowvram from the command line arguments and it seems to have fixed it. Image generation is super slow though, and I think its using system ram as well as GPU.
If I use --lowvram in the commandline args, this problem pops up. I was able to get it to work by not using --lowvram, but I get CUDA errors if I use "Prefer No Sysmem Fallback" in NVidia settings. The alternative is an hour to generate 4 images using the system fallback.
You have 8GB VRAM. Maybe try --medvram
or --medvram-sdxl
. And perhaps remove --no-half --no-half-vae
, or try --upcast-sampling
instead.
And use --xformers
, --opt-sdp-attention
, or `--opt-split-attention, not all three.
I tried --medvram --upcast-sampling --xformers --opt-sdp-attention
and got CUDA error: unspecified launch failure
Then I tried --medvram --upcast-sampling --opt-split-attention
and got RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
This is with the Prefer No System Fallback checked in NVidia control panel settings.
I think this was a graphics card issue. I started having problems with games too, then replaced the graphics card and the problems went away.
Checklist
What happened?
When I generate images, the first image looks fine. After that, every other image gets worse and worse, even with the same exact perameters.
(Also, the quality of images, even when they generate "correctly" is crap compared to what I'm used to getting.)
Steps to reproduce the problem
After disabling all my extensions, I got a couple more images before the issue returned.
What should have happened?
The image should be identical based on seed and settings.
What browsers do you use to access the UI ?
Brave
Sysinfo
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"python-dateutil==2.8.2", "python-dotenv==1.0.0", "python-multipart==0.0.6", "pytorch-lightning==1.9.4", "pytz==2023.3.post1", "pywavelets==1.5.0", "pyyaml==6.0.1", "realesrgan==0.3.0", "referencing==0.32.1", "regex==2023.12.25", "requests-oauthlib==1.3.1", "requests==2.31.0", "resize-right==0.0.2", "rpds-py==0.16.2", "rsa==4.9", "safetensors==0.3.1", "scikit-image==0.21.0", "scipy==1.11.4", "semantic-version==2.10.0", "send2trash==1.8.2", "sentencepiece==0.1.99", "setuptools==63.2.0", "six==1.16.0", "smmap==5.0.1", "sniffio==1.3.0", "soupsieve==2.5", "starlette==0.26.1", "sympy==1.12", "tabulate==0.9.0", "tb-nightly==2.16.0a20240108", "tensorboard-data-server==0.7.2", "tf-keras-nightly==2.16.0.dev2024010810", "tifffile==2023.12.9", "timm==0.9.2", "tokenizers==0.13.3", "tomesd==0.1.3", "tomli==2.0.1", "toolz==0.12.0", "torch==2.0.1+cu118", "torchdiffeq==0.2.3", "torchmetrics==1.2.1", "torchsde==0.2.6", "torchvision==0.15.2+cu118", "tqdm==4.66.1", "trampoline==0.1.2", "transformers==4.30.2", "typing-extensions==4.9.0", "tzdata==2023.4", "urllib3==2.1.0", "uvicorn==0.25.0", "wcwidth==0.2.13", "websockets==11.0.3", "werkzeug==3.0.1", "xformers==0.0.20", "yapf==0.40.2", "yarl==1.9.4", "zipp==3.17.0" ] }
Console logs
Additional information
This happens whether I'm using the NVidia 546.33 or 546.29 driver.
For reference, here are the two images I generated back to back.
I had been running into a ton of CUDA errors. I was able to fix that, but then the images I generate are like this. Completely unusable.