This is the most informative Video about LoRA creation on youtube. I learned so much about how a good dataset looks like and how to describe the image in order to let the AI learn. Marvelous work!
You can find the Training Dataset and workflow on my patreon for FREE: www.patreon.com/AIKnowledgeCentral Do you struggle with AI-Art? Head over to my Patreon to grab free stuff. No Membership needed! Ultimate Beginners Guide: www.patreon.com/posts/sneak-peek-alert-90799508 Free workflow guide: www.patreon.com/posts/get-your-free-99183367 Style Collection: www.patreon.com/posts/my-collection-of-87325880 I also offer one on one sessions: koalendar.com/e/1hr-1-on-1-stable-diffusion Happy creating Chris
You can train both in a single lora, this requires a more delicate image selection and the rendering of a lot more images. If the body has to be of nude form, then good luck. You may want to use a textured 3D Model for this and render these Images in a 3D Environment, like Blender or Unreal Engine 5. Hm... actually not a bad idea for a new video... *taking notes*. You also could take real photos, but make sure you have written consent from the person to use them.
Is there a method to train for facial expressions (sad, mad, glad, etc) where the character is seen crying, screaming, laughing? All of the LoRAs have the same neutral expression.
By including images of facial expressions into the dataset (for sd 1.5 and SDXL there are facial expression loras), you can train your character lora on these. Originally i planned to show this in the video as well and include it, but the video itself is already 19 Minutes long so i got rid of that in the video script.
That was not very informative. Next time please make a guide on how to train LoRA for an original cartoon character unknown for base model, for example some random anime character. Also please use free local trainer like kohya.
Thanks for you feedback. Since most of of my viewers have an RTX 2080 or lower ( i did several polls on this). i decided against local training. I am using the Kohya method in Civitai online trainer. This can be applied 1 - 1 to local kohya and should yield similar results.
