UmaMusume All In One LoRA - CivArchive (CivitAI Archive)

UmaMusume All In One LoRA - SD1.5

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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

Put LoRA file in your stable-diffusion-webui/models/lora folder and write lora notation in prompt to applying LoRA. <lora:your_lora_name:weight>

Recommended options

LoRA weight 0.7
Trigger words
- [character name] \(umamusume\) or [character name]
- For example,
  - manhattan cafe \(umamusume\)
  - hayakawa tazuna

Settings

For Stable Diffusion V1.5
- Use a model derived from or mixed with animefull model.
- DPM++ Series(SDE Karras, 2M Karras, etc.)
- about 20 steps, CFG scale 3.5~6.5
- kl-f8-anime2.vae
CLIP skip = 1 or 2. Use whatever you want.
Use Hires.fix to get higher quality image
- Upscaler
  - Latent, Latent (nearest-exact), Latent (bicubic antialiased) or other Latent series.
- Denoising strength 0.50~0.65

Training Info

trained on sd-scripts by kohya_ss and LyCORIS by KohakuBlueleaf
- Thank you all a lot!
Base model : Animefull-pruned model
Hardware : 1x A6000 GPU
Training time : 22 hours
Dataset : ULTIMA Dataset
Resolution : 768x768 with aspect ratio bucketing
Dim, Alpha : ??
Optimizer : lion8bit
Steps : 20,210
Batch size : 16
Learning rate : warmup to 1e-4 for 1,010 steps and then kept constantLR scheduler
- LR scheduler is constant_with_warmup.
other training settings is included in metadata of LoRA file.
All uploaded images are generated by Counterfeit V3.0(huggingface, civitai).