Comments (6)
The best way honestly, is to just uninstall python completely from your system. Both versions. Restarted PC. Then install 3.10.9, restart PC. Unless you are doing dev work, installing 3.10.9 is perfectly good not just for Kohya, but I have actually noticed an improvement in performance on
Auto1111 SD Forge FOOOCUS
so this cleaning of your PHP will have other benefits.
did it and its worked, thanks
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Make sure the gui see 3.10.6 when it run. At the moment it is seeing 3.11... and the kohya_s sd-scripts do not run properly under 3.11.x
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I have the same problem. How can I do that? Could you explain little bit more?
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This is the question… I only have one python version on my system and never ran into this actual problem. Not sure I want to break my dev system to test…
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You might want to look at https://github.com/LykosAI/StabilityMatrix
It install a local copy of python and should allow you to run it... I have not tested it recently but I helped them make sure they could run v23.x.x within their solution... I will try to install it on my machine to see if it work.
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The best way honestly, is to just uninstall python completely from your system. Both versions. Restarted PC. Then install 3.10.9, restart PC. Unless you are doing dev work, installing 3.10.9 is perfectly good not just for Kohya, but I have actually noticed an improvement in performance on
Auto1111
SD Forge
FOOOCUS
so this cleaning of your PHP will have other benefits.
from kohya_ss.
Related Issues (20)
- No json files on training HOT 4
- WD14 Tagger Not Recognizing CUDA After Update? HOT 12
- sdxl training HOT 4
- unable to train sdxl lora using runpod training stops without throwing error HOT 2
- pip install argument might be passed incorrectly HOT 2
- latent cache error RuntimeError: NaN detected in latents
- missing options in Dreambooth training HOT 17
- The second GPU can't be used
- getting an error for using optimizer
- Textual Inversion Broken | SDXL not training at all, SD1.5 other error HOT 7
- Very crazy mistake! When I want to train, it reports an error! I don't know where the problem is! Can you help me? HOT 1
- Confusing sample results when training Lora HOT 4
- Feature Request: if "WANDB run name" empty, use "Trained Model output name" HOT 1
- Lora tab shows no SDXL checkbox--resulting in "Size mismatch" HOT 1
- Presets -- not showing in the toggle down menu after adding to user_presets HOT 4
- dataset repeats is incorrect in wandb -- how do i check?
- Why do the trained LoRA models consistently have a size of 41MB, even when I adjust the number of steps? HOT 2
- Failed to import diffusers.loaders.ip_adapter because of the following error (look up to see its traceback): module 'torch' has no attribute 'compiler'
- Training Fails To Initialise HOT 2
- subprocess.CalledProcessError: Command HOT 1
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