ebody-body shaper-sexy bikini

New LoRa release: As you can see, this LoRa embodies powerful feminine style. You can customize the facial features to your preference. Key prompt: y body.

recommended checkpoint: chilloutmix_NiPrunedFp32Fix.safetensors

recommended lora strength:0.65~0.75

prompt: (best quality, masterpiece:1.2), (realistic, photo-realistic:1.37), ultra-detailed, Angelina Danilova, y body, long hair, bare shoulders, (micro bikini:1.2), o-ring, solo, looking at viewer, long hair, outdoors, (full body:0.7), thighs, nature, jungle, huge tits, gigantic tits, standing Negative prompt: paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, (outdoor:1.6), manboobs, backlight,(ugly:1.331), (duplicate:1.331), (morbid:1.21), (mutilated:1.21), (tranny:1.331), mutated hands, (poorly drawn hands:1.331), (bad anatomy:1.21), (bad proportions:1.331), extra limbs, (disfigured:1.331), (more than 2 nipples:1.331), (missing arms:1.331), (extra legs:1.331), (fused fingers:1.61051), (too many fingers:1.61051), (unclear eyes:1.331), bad hands, missing fingers, extra digit, (futa:1.1), bad body, NG_DeepNegative_V1_75T, glans, nipples

Steps: 36,

Sampler: DDIM,

Schedule type: Automatic,

CFG scale: 7,

Seed: 2093515028,

Size: 512x768,

Model hash: fc2511737a,

VAE hash: 63aeecb90f, VAE: vae-ft-mse-840000-ema-pruned.ckpt,

Denoising strength: 0.45,

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: 24.4.1,

Hires upscale: 2.1,

Hires upscaler: 8x_NMKD-Superscale_150000_G,

AddNet Enabled: True, AddNet Module 1: LoRA, AddNet Model 1: Angelina Danilova-000006(840f8f9b2095), AddNet Weight A 1: 0.65, AddNet Weight B 1: 0.65, AddNet Module 2: LoRA, AddNet Model 2: Y BODY perfect body(d5e7119e93a9), AddNet Weight A 2: 0.75, AddNet Weight B 2: 0.75, Version: v1.9.0