Ashe

LORA
Reprint


Updated:

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LoHA trained on the classic skins of Ashe from League of Legends

if u want to make it more blue please add "blue dress"

requested by @silvere1011668

models used

anime: YabaL_Mix V3

2,5D: PrimeMix - v2.1, ReV Animated, PastelDiffusedMix - V2.1

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

  • Denoise strength upscaling: 0.3 to 0.55

for full body shots i recommend using: ComfyUI Impact Pack

or the a1111 alternative GitHub - Bing-su/adetailer

Version Detail

SD 1.5
2990
13
LoHA trained on the classic skins of Ashe from League of Legends if u want to make it more blue please add "blue dress" requested by @silvere1011668 models used anime: YabaL_Mix V3 2,5D: PrimeMix - v2.1, ReV Animated, PastelDiffusedMix - V2.1 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 for full body shots i recommend using: ComfyUI Impact Pack or the a1111 alternative GitHub - Bing-su/adetailer

Project Permissions

Model reprinted from : https://civitai.com/models/90073/ashe-or-league-of-legends

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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