Type | |
Stats | 4,325 |
Reviews | |
Published | Jul 19, 2023 |
Base Model | |
Training | Steps: 3,465 Epochs: 21 |
Usage Tips | Clip Skip: 2 |
Trigger Words | jinx \(league of legends\), 1girl, twin braids, single elbow glove, short shorts, bikini top only, necklace, belt, bullet, fingerless gloves |
Hash | AutoV2 0019A55592 |
LoRA trained on Jinx from League of Legends
There are 4 arcane Jinx models, but there isn't a default Jinx model, lol. So there you go xD
Base: jinx \(league of legends\), 1girl, twin braids, single elbow glove, short shorts, bikini top only, necklace, belt, bullet, fingerless gloves
models used
anime: Kawaii Realistic Anime Mix - A0.2, YabaL_Mix - V5, MeinaAlter - V3
2,5D: Aniverse - Aniverse V1.0, PastelDiffusedMix - V2.2, MeinaUnreal - V4.1
realistic: Paragon V1.0
negative embeddings: bad_prompt, negative_hand, ng_deepnegative_v1_75t, bad-artist, EasyNegative
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