LoRA trained on Lifeline from Apex Legends
Lifeline: lifeline (apex legends), 1girl, dark-skinned female, dark-skin, crop top, detached sleeves, headband, pants, hair bun, mask around neck, red hair, headset
Pirate queen lifeline: pirate queen lifeline, 1girl, dark-skinned female, bandana, green hair, tattoo
add "skull hair ornament" for the skull
Worlds apart lifeline: worlds apart lifeline, 1girl, dark-skinned female, golden headband, white hair, white pants
models used
anime: YabaL_Mix - V4, Yotta Mix - v4.0
2,5D: SXZ Luma - 0.99 VAE, ReV Animated - v1.2.2, PastelDiffusedMix - V2.1
realistic: Paragon V1.0, ZavyMix - a2
In the image section, you can see all the other models that have been tested with this LoRA.
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 highly 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
