UmaMusume All In One LoRA - CivArchive (CivitAI Archive)

UmaMusume All In One LoRA - SDXL-pony-beta

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Umamusume All in One LoRA

This is an All-in-One LoRA designed to generate a wide variety of characters from the popular game Umamusume: Pretty Derby with a single model. Without the hassle of managing individual character LoRAs, you can easily bring numerous Umamusume to life, including Stay Gold, Almond Eye, Loves Only You, and many more, with just this one file.

Notice

This model is a re-upload. The previous model page was accidentally deleted during a version update process. My apologies for the inconvenience!

✨ Features

Extensive Character Library: Capable of generating most of the main characters from the game with high fidelity.
Versatile Costume Support: Faithfully reproduces each character's unique racing outfits, as well as school uniforms, casual wear, and other styles.
Easy to Use: Achieve your desired images simply by inputting character names or feature tags, without the need for complex prompts.

🌟 Character & Prompt Information

For detailed prompt information regarding the characters, costumes, and features included in this LoRA, please refer to the Hugging Face link. Find the precise tags for the character you wish to create and utilize them in your prompts.

License

This model is released under "Derivative work guidelines for umamusume".
And "Fair-AI public license 1.0-SD" License

Description

This is pony version of SDXL AIO LoRA of Uma Musume

Recommended options

LoRA weight 1.0
Trigger words
- [character name] \(umamusume\) or [character name]
- For example,
  - manhattan cafe \(umamusume\)
  - hayakawa tazuna

Settings

For Stable Diffusion XL Pony V6
- Please follow pony's generation guide.
SDXL-Pony version
trained on sd-scripts by kohya_ss and LyCORIS by KohakuBlueleaf
- Thank you all a lot!
Base model : Pony Diffusion V6 XL
Hardware : 4x RTX 4090
Training time : 21 hours
Dataset : ULTIMA Dataset
- With synthetic natural language caption. half-half ratio
- Max Token Length : 225
Resolution : 1024x1024
- Aspect Ratio Bucketing
Dim, Alpha : 32
- Algorithm : LoCon
- Network dropout = 0.1
Optimizer : Lion8bit
- weight decay=0.1, betas=(0.9, 0.95)
Steps : 10,060
Total Batch size : ??
- 4 GPU x 4 batch size x 4 Gradient Accumulation steps
Learning rate :
- U-Net : 1e-4
- Text Encoder 1 : 5e-5
- Text Encoder 2 : 5e-5
- warmup to 1e-4 for 100 steps and then kept constantLR scheduler
LR scheduler : constant with warmup.
Min SNR gamma : 5
Noise Offset : 0.0357