AI Model: Aki (Character LoRA)
Base model: CyberRealistic Pony v14+
VAE: vae-ft-mse-840000-ema-pruned
Resolution: 768×1152
Trigger: aki_character
💫 Overview
Aki is an AI-based digital muse — bright, cinematic, and expressive.
She combines the softness of natural light with vivid emotional presence, adapting effortlessly between fashion, lifestyle, and cinematic portraiture.
Trained on a refined 9:16 dataset featuring portraits, mid-shots, and full-body compositions, she maintains stable anatomy, consistent lighting, and delicate facial balance.
Her aesthetic blends soft modern glow with subtle urban energy — denim, leather, pastel tops, and neon backdrops. Aki fits equally well in studio settings and stylized outdoor scenes.
🎨 Style & Use
Perfect for:
cinematic and editorial portraits
lifestyle or street-style photography
creative and aesthetic storytelling
stylized AI influencer or virtual model projects
cosplay and stage aesthetics
mature / 18+ creative projects (permitted)
Aki performs consistently across portrait, ¾, and full-body shots while preserving her unique facial identity and tone.
⚙️ Recommended Settings
Parameter Value
Weight 0.6–0.8
CFG 6–7
Steps 30–60
Sampler DPM++ 2M Karras
Resolution 768×1152 or 832×1216
VAE vae-ft-mse-840000-ema-pruned
Prompt example:
aki_character, cinematic portrait, soft daylight, realistic skin texture, gentle expression, sharp focus, natural lighting
Negative prompt:
blurry, low contrast, low detail, oversharpened, overexposed, distorted anatomy, flat light
🧠 Notes
Works best with CyberRealistic Pony v14+.
Balanced dataset ensures natural light behavior and realism.
Handles soft focus, subtle bokeh, and mid-tone contrast beautifully.
Suitable for editorial, lifestyle, and creative 18+ projects.
⚖️ Disclaimer
This LoRA was trained entirely on AI-generated imagery.
It does not depict a real person, nor is it based on any existing individual.
Aki is a fictional AI character created for artistic and creative purposes.
All resulting artworks generated with this LoRA belong fully to the users.


















