stable-diffusion-webui
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AUTOMATIC1111
[Bug]: The graphics card memory is full
Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
What happened?
RuntimeError: CUDA out of memory. Tried to allocate 10.00 MiB (GPU 0; 6.00 GiB total capacity; 5.26 GiB already allocated; 0 bytes free; 5.30 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Steps to reproduce the problem
- I'm just the beginning python launch.py
- Memory almost full (6GB)
- Then the image cannot be generated
What should have happened?
be normal to generate
Commit where the problem happens
737eb28
What platforms do you use to access UI ?
No response
What browsers do you use to access the UI ?
No response
Command Line Arguments
No response
Additional information, context and logs
No response
hmm, what gpu do you use? Normally most people will add --medvram or --xformers (for some gpus) to allow it to run on 6 or even 4GB of VRAM. If medvram doesnt work, lower it to --lowvram instead.
hmm, what gpu do you use? Normally most people will add --medvram or --xformers (for some gpus) to allow it to run on 6 or even 4GB of VRAM. If medvram doesnt work, lower it to --lowvram instead.
Thanks.I will have a try.My Gpu is RTX 2060(Laptop)
you should do both --xformers and --medvram in commandline args, xformers will speed up your generations. You'll have a good time!
-medvram will look like this, I think I can try the previous version
I have GTX 1070 (8GB) and yet still see this error !
RuntimeError: CUDA out of memory. Tried to allocate 512.00 MiB (GPU 0; 8.00 GiB total capacity; 6.33 GiB already allocated; 0 bytes free; 7.10 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
@nour-s what parameters do you use? are you useing --lowvram or --medvram?
@Lvjinhong that looks like a graphics card related issue. see the wiki custom parameters or ask in discussions what is the cause of the random noise output + how to fix. Raise another issue if you desire.