Describe your use-case.
So I have a very specific use case for OneTrainer where the actual training happens in a headless Linux environment. The issue is that the whole OneTrainer install (as of 07254ad) needs 166+ Python packages, taking up way too much space (4.44GB on Windows) and time to install.
What would you like to see as a solution?
The most obvious solution would be a WebUI (easy to use and move around), but the clear consensus is that a WebUI version isn't going to happen. So the closest option is to use the UI locally and export configs (or use X11 forwarding if you're insane).
Now, I haven't checked the codebase myself much, but I'd guess it uses an architecture similar to Kohya's (a configurator + the actual training scripts).
If that's the case, I think this project would benefit greatly from a "configurator only" install that doesn't need 4+ GB of storage and 166 packages.
Have you considered alternatives? List them here.
No response
Describe your use-case.
So I have a very specific use case for OneTrainer where the actual training happens in a headless Linux environment. The issue is that the whole OneTrainer install (as of 07254ad) needs 166+ Python packages, taking up way too much space (4.44GB on Windows) and time to install.
What would you like to see as a solution?
The most obvious solution would be a WebUI (easy to use and move around), but the clear consensus is that a WebUI version isn't going to happen. So the closest option is to use the UI locally and export configs (or use X11 forwarding if you're insane).
Now, I haven't checked the codebase myself much, but I'd guess it uses an architecture similar to Kohya's (a configurator + the actual training scripts).
If that's the case, I think this project would benefit greatly from a "configurator only" install that doesn't need 4+ GB of storage and 166 packages.
Have you considered alternatives? List them here.
No response