AVATAR_NAVI_Realistic
Details
Download Files
Model description
my twitter: https://twitter.com/EasonnLi
AVATAR_NAVI_Realistic lora: This version is the realistic version, and there is also a 2.5D version available for download.
. In this version, I upgraded the details of the eyes, ears,and skin. Additionally, the file size has increased due to more training images being added, including facial training, as well as incorporating more details. Please note that the trigger word for this version has changed to AVATAR_NAVI. NSFW words,like nip***, pus*** works.
key triger words: yellow eyes, avatar_navi, blue skin, colored skin, bodypaint, elf ears, realistic
recommended checkpoint: dreamshaper_8.safetensors
for better result I recommend open Hires upscaler and after detail plug in
prompt: best quality, masterpiece, yellow eyes, avatar_navi, blue skin, colored skin, bodypaint, elf ears, 1girl, solo, ass, pussy, black hair, pointy ears, nude, long hair, jewelry, facepaint, tree, realistic, palm tree, dappled sunlight, from behind, nose, outdoors, earrings, thigh gap, sunlight, nature, lips, leaf, elf, back, looking back, day
Negative prompt: verybadimagenegative_v1.0-6400,EasyNegative,(bad hands, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped),(worst quality:1.4),(low quality:1.4),(normal quality:1.4),jpeg artifacts,signature,watermark,username,(blurry:1.4), abs
Steps: 30,
Sampler: DPM++ 2M SDE Karras,
CFG scale: 7,
Seed: 2646356026,
Size: 512x768,
Model hash: 879db523c3,
VAE hash: c6a580b13a,
VAE: vae-ft-mse-840000-ema-pruned.ckpt,
Denoising strength: 0.4,
Clip skip: 2, ADetailer model: face_yolov8n.pt,
ADetailer confidence: 0.3, ADetailer dilate erode: 4, ADetailer mask blur: 4, ADetailer denoising strength: 0.4, ADetailer inpaint only masked: True, ADetailer inpaint padding: 32, ADetailer version: 24.3.0,
Hires upscale: 2.1,
Hires upscaler: 4xRealisticrescaler_100000G,
AddNet Enabled: True, AddNet Module 2: LoRA, AddNet Model 2: AVATAR_NAVI_realistic
AddNet Weight A 2: 0.8,

















