Linux scripts for various AI tools.
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License: GNU General Public License v3.0
Linux scripts for various AI tools.
License: GNU General Public License v3.0
The LD_LIBRARY_PATH needs to include: /usr/local/cuda/lib64/
.
Update to the latest source if specified. If not specified, do not affect the current codebase.
The directory structure for training embeddings, LoRA, and hypernetworks should be standardized for simplicity. Also, for convenience, so that key directories are not missed.
Create a script based on the instructions on the project website.
For clarity and readability, use long options instead of short. Readability is more important than keystrokes for scripts.
Create a script based on the instructions on the project website.
Create a script based on the instructions on the project website.
Create a script based on the instructions on the project website.
Create a script based on the instructions on the project website.
When starting to train with Kohya's GUI, a module error is displayed indicating the need for the "scipy" package.
Create a script based on the instructions on the project website.
After the virtual environment is setup, don't use the version number as part of the Python command.
Instead of using a command like python3.10 -m pip install --upgrade pip
use python -m pip install --upgrade pip
.
This will make upgrading python versions easier in the future.
CUDA 12.3 doesn't work by default. Version 11.8 is expected.
Currently, all YAML files exist within specific application directory. Sharing them will make it easier to add supplemental YAML files for new models as well as making common updates.
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