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Generate images of androgynous models with AI

Create unique images of handsome androgynous models with our free AI image generator. It's easy and fast!

Handsome Latino Model Portrait in Unreal Engine Style
Handsome Latino Model Portrait in Unreal Engine Style
3 years ago

Latino clean-shaven young androgynous, large rear, toned back muscles, handsome pretty beautiful model unbuttoned revealing shirtless, buff...

Created 3 years ago · 0 comments· 0 likes

Stable Diffusion 1.5

Vincent's Avatar
Creation Summary by Vincent

Handsome Latino Model Portrait in Unreal Engine Style

This image shows a full body portrait of a muscular, androgynous Latino model with a tanned complexion. The digital art features dynamic lighting, intricate details, and triadic colors.

Created by Blach Blach on Mar 1, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
Latino clean-shaven young androgynous, large rear, toned back muscles, handsome pretty beautiful model unbuttoned revealing shirtless, buff chest, smiling bright charming, slim beautiful attractive, "full view", toned torso, strong legs, thick arms, feet, masculine muscular strong powerful ripped athletic ...
Weight: 2
full body portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
Weight: 1
head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
Weight: 1
ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, poorly drawn eyes, malformed, mutilated, distorted
Weight: -3
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

50%

Noise Weight

70%

Sampling method

K_LMS


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