Lora trained on Coven Ahri from League of Legends
Update: double the dataset, better base model (NAI), different kohya settings, trained on 768x768, lower steps better flexibility
Some pictures were done with ComfyUI since Civit finally supports its metadata
tags: coven ahri, 1girl, dress, detached sleeves, cleavage, multicolored hair, blonde hair, black hair, animal ears, pantyhose
optional tags: whisker markings, multiple tails, energy ball
You definitely need more tries on those ones since Stable Diffusion doesn't like counting
negative embeddings: Fast Negative Embedding v2
Recommended settings:
Make sure you are aware on the usage instructions of LORA
VAE: vae-ft-mse-840000-ema-pruned (for realistic models & 2,5D), kl-f8-anime2, blessed2.vae (for anime models)
Sampler: DPM++ SDE Karras or DPM++ 2M Karras(euler a for img2img upscaling) from time to time im also using DPM++ 2M alt Karras
Steps: 20 to 35
Clipskip: 2
Upscaler : GitHub - pkuliyi2015/multidiffusion-upscaler-for-automatic1111 4x-UltraSharp(for 2,5D & realistic), 4xAnimesharp(for anime)
CFG Scale : 5 to 9 (mostly 7)
LORA weight for txt2img: 0.5-1 (for the examples i mostly used 0.8 and 1)
Denoise strength upscaling: 0.3 to 0.55
If you want to autocomplete the tags & trigger im using, I recommend using Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
For full body shots i recommend using: ComfyUI Impact Pack
or the a1111 alternative GitHub - Bing-su/adetailer
Description
FAQ
Comments (3)
New version LoRA 2.0 does not work, writes an error:
Error: Could not load the lora model! Reason: 'StableDiffusionPipeline' object has no attribute 'lora'
Hmm, weird. I used a new optimizer, maybe that's why. Try updating Stable Diffusion with "git pull". Some people said that switching to another checkpoint fixed this issue. Others mentioned that this extension has something to do with it. There were many issues with LoRA and A1111 in the last few days. I don't know what's going on.
@AhriMain v 1.0 it works fine for me
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.














