4 thoughts on “SDXL LORA Information! Most complete LORA coaching video”
Hey guys, just uploaded this SDXL LORA training video, it took me hundreds hours of work, testing, experimentation and several hundreds of dollars of cloud GPU to create this video for both beginners and advanced users alike, so I hope you enjoy it.
I love that this tutorial dispels some myths about LoRAs. Especially the random token thing… starting all the way back from `sks` (which might as well have been `ak47`… now to `omhw`.
When you take Lensa and other apps like that into account, think of how many millions of GPU-hours have been wasted (they could have started from `person` or `portrait`).
—
Only one thing to mention about your tutorial:
You don’t need regularization images.
Well, unless you plan on merging in your LoRA into your checkpoint, or some other pretty specific use cases, like de-overfitting a specific person / character / etc.
Hey guys, just uploaded this SDXL LORA training video, it took me hundreds hours of work, testing, experimentation and several hundreds of dollars of cloud GPU to create this video for both beginners and advanced users alike, so I hope you enjoy it.
Great video. But for some reason my LORA look hirrible…I trained on 12 professional photos…Why do my images look like this:
https://preview.redd.it/a2p2isw9nphb1.png?width=1024&format=png&auto=webp&s=79d6f2de915c278b2b9f0f29ae779b09c20ab223
Thank you /u/Aitrepreneur!
I love that this tutorial dispels some myths about LoRAs. Especially the random token thing… starting all the way back from `sks` (which might as well have been `ak47`… now to `omhw`.
When you take Lensa and other apps like that into account, think of how many millions of GPU-hours have been wasted (they could have started from `person` or `portrait`).
—
Only one thing to mention about your tutorial:
You don’t need regularization images.
Well, unless you plan on merging in your LoRA into your checkpoint, or some other pretty specific use cases, like de-overfitting a specific person / character / etc.
That should speed up your training even more.
Thanks for the Guide! It is very useful!