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Minigiantess (ZIT/FLUX/Pony/SDXL)

371.6k

Verified:

SafeTensor

Type

LyCORIS

Stats

2,716

341K

62.7K

Reviews

Published

Jun 16, 2024

Base Model

Pony

Training

Steps: 124,800
Epochs: 26

Usage Tips

Clip Skip: 2
Strength: 0.8

Trigger Words

macrogts
mesogts
minigts
minigiantess
tallgts
size difference
giantess

Hash

AutoV2
D6693A147F

A single Lora Locon to allow prompting of mini giantess size people that appear 6-30+ feet tall. The goal is to teach models to tweak the scale of the background and provide full body poses.

Flux 2 Klein 9b:

  • Trained only using mesogts and macrogts as separate concepts, macrogts is maybe undertrained.

Z Image Turbo:

  • Trained only macrogts and mesogts as separate concepts, macrogts is maybe undertrained.

Flux 1.D:

  • Similar training to PDXL, trained all trigger words as separate concepts.

Illustrious XL:

  • Trained similarly to Pony, possibly undertrained, not certain if it will actually produce better results than the SDXL base lora, but worth a shot.

Pony LyCoris:

  • Re-trained on PDXL v6, see version details, as enabled flip augmentation which was missed during SDXL training.

  • AIO Concept, trained as a single concept separated by tagging, prompts easier with more unpredictable sizes.

  • Separate Concepts, separated sizes into their own concepts, more consistent sizes but may not trigger at as low strengths.

SDXL LyCoris What's New:

·      Re-trained as a SDXL LyCoris using kohya_ss instead of dreambooth.

·      Tested on SDXL base, Dreamshaper XL and Protovision XL

·      Slightly suspicious of Kohya resizing to rank 64, so the much larger original trained version is included although all prompts are with the resized v1.

·      For older versions and more details, checkout the pre-SDXL version.

Trigger words are tagged to better prompt approximate scaling using mg-sg guide:

  • tallgts: Taller than average

  • minigiantess: Giantesses 7' to 12' tall

  • mesogts: Giantesses 12'to 50' tall

  • macrogts: Giantesses 50' to 500' tall

Also training data is tagged by subject:

  • solo: one subject

  • couple: two subjects

  • group: one minigts subject and a group of people