HUGGY

This is a big lora complex, read following table!

As you see, I uploaded lots of similar lora made with different epochs, LR and resource. Every lora is subtly unique as I will systematically compare one another by its quality (over sharpen / glitch / half baked), resemblance (to training resources) and character features (torso deformation, poor eyes, unnatural looks) in the future. Everything is a work in progress.

Every lora is a newborn,for the past 2 months I learned lots about their personality, and gathered resources for both revised version and new lora. 2025 is 1 week ahead and I'm so stressed out about these 35 babies and upcoming ones.

Trigger Words: some loras include multiple trigger codes (aaXXXxx, aaXXXxx, etc), representing different styles / characters.

• Use the Lora with epoch below 7 for a stable result, like V03E06, though lora with higher epoch like V03E10 has better resemblances to the training source;

• USE fewer triggering words each time for best result;

• Use CFG between 4.5 (complex scene) to 7.5 (simple);

• For anime start training steps from a lower value like 19 with Euler a sampler, if you are satisfied with the result, use hi-res fix / face fix (and set Euler to 29) to increase over all quality;

• For realistic photos, use DPM++2M Karra, 30+ steps for close up portrait, 35+ steps for full body shot.

• There's no universal prompt / lora weight for every generation. If you're using anime style / character lora with realistic checkpoint, starting with a lower lora weight like 0.7. Ignore the lora weight in sample images, due to a recent bug, image generated online will display lora weight of 1 regardless the actual value.

• step number setting (which is the weight for all tags) is closely associated with the complexity of the prompt, if your outcome has extra objects like fingers or limbs, try lower the step value (and the lora weight too); if your outcome has objects disappeared, lack of quality, texture and reality, try raising the step value.

• Compose a prompt and wait for the generation seems like flipping through a mystery novel, you never know what twist is coming next. It's a way to explore the boundless of AI model. To get the exact outcome of what you planned is difficult as you have to find the proper glossary for each tag, and each word itself is a vague variant with various synonyms.

This is a lora complex which contains 11 (100 is my goal) unique styles and poses. Currently I have a list of ideas to add into this lora complex. It takes enormous time for me to prepare source images. Each Lora will need 2-15 iterations to fix glitches. I'd like to test my lora with all available checkpoints online before publishing, but I cannot do any of these since my buzz is running oooout, donate buzz if you like what you see.

Issues to be fixed in the next version:

1) training base on Pony get versatile results than training base on SDXL, but when prompts contain 1 human and 1 animal, Pony has a great tendency of blending two species, put source_pony, source_furry in the negative prompts won't help. Does anyone knows how to solve this?

2) reduce training source quantity down to ??? or less, as this is a common problem across most of my loras, too many training images reduce the outcome quality, quality of the source images are more important.

3) Increase training source resolution.

4) Reduce training steps down to 1000, as I found lower training epochs lora got stable results

Checkpoint Rating for Illustra V04E03