Type | |
Stats | 400 983 |
Reviews | (40) |
Published | Jun 16, 2023 |
Base Model | |
Training | Steps: 3,120 Epochs: 23 |
Trigger Words | akshan, 1boy, male focus, cape, pants |
Hash | AutoV2 DAB795458B |
LoRA trained on Akshan from League of Legends
requested by: @LadyNuggets
tags: akshan, 1boy, male focus, cape, pants
models used
anime: Sweet-mix - v1.8 - flat, MeinaPastel - V5
2,5D: PastelDiffusedMix - V2.1, LusterMix - v1.5, ReV Animated - v1.2.2, ZavyMix - a2
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