Description:
This LoRA is dedicated to recreating the vibrant and heroic Star Guardian skin for Poppy from League of Legends.
This is a UNet-only LoRA (network_train_unet_only = true
), meaning it was trained exclusively on the visual aspects of the character's design. It does not teach the model a new "concept" of Poppy but instead excels at applying her Star Guardian outfit, hairstyle, and signature hammer over a well-prompted character.
For optimal compatibility, this LoRA was trained on NoobAI XL Vpred 1.0 and works best with v-prediction models.
Usage Instructions
Activation & Prompting
Since the text encoder was not trained, you must describe the character in your prompt. Use the primary trigger word, then add descriptive tags for her appearance and outfit.
Primary Trigger:
sgpoppy
Essential Character Tags:
yordle
,blue skin
,purple hair
,twintails
,blue eyes
,pointy ears
,fang
Essential Outfit Tags:
star guardian uniform
,armor
,breastplate
,skirt
,blue gloves
,pantyhose
,white legwear
,kneeboots
Weapon Tag:
hammer
Important: LoRA Weight
This LoRA was trained with an alpha (64
) that is double its dimension (32
). This makes the LoRA very strong.
Works plenty fine with a weight of
1.0
.Example:
<lora:SGPoppy:1.0>
Recommended Settings
Model: Any SDXL v-prediction model (e.g., NoobAI-XL, Illustrious-XL).
Sampler: Euler a CFG++
Steps: 20
CFG Scale: 1.4-1.7
Outfit & Style Description
This LoRA accurately reproduces the key elements of Poppy's Star Guardian design:
The Outfit: Captures her distinct blue, white, and gold magical girl uniform, complete with the star emblem, large bows, and armored gauntlets/boots.
Character Features: Reliably generates her yordle physique, vibrant blue skin, and signature purple hair styled in large twintails.
The Starlight Hammer: Excellently reproduces her iconic, oversized golden hammer, maintaining its grand scale in proportion to her small stature.
The style is sharp and illustrative, perfect for creating high-impact character art that reflects Poppy's determined and heroic personality.
Training Details
This LoRA was trained on a focused dataset of 29 images with the following notable parameters:
Base Model:
NoobAI XL Vpred 1.0
Resolution: 1024x1024 (with bucketing enabled)
Network Rank (Dimension): 32
Network Alpha: 64
Note: A 2:1 alpha-to-dim ratio was used, amplifying the LoRA's trained effect. This is why lower weights are recommended during inference.
Training Target: UNet Only
Optimizer: AdamW8bit
Learning Rate:
4e-4
(4×10−4)LR Scheduler:
cosine_with_restarts
(5 cycles)Advanced Noise Scheduling: An extremely high
min_snr_gamma = 80
was used alongsidezero_terminal_snr = true
, forcing the model to focus intensely on high-level composition and detail.Max Training Epochs: 50