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Two Women Kissing: Engagement Ring Portrait
Two Women Kissing: Engagement Ring Portrait
3 years ago

Engagement ring ; two girls kissing ; head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alph...

Created 3 years ago · 0 comments· 0 likes

Stable Diffusion 1.5

Vincent's Avatar
Creation Summary by Vincent

Two Women Kissing: Engagement Ring Portrait

This image shows two women kissing, with a focus on an engagement ring. The portrait is rendered with dynamic lighting and intricate detail, in a neo-impressionistic style.

Created by Ramequin on Mar 19, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
Engagement ring ; two girls kissing ; 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
Engagement ring ; two girls kissing ; neo-impressionism expressionist style oil painting, smooth post-impressionist impasto acrylic painting, thick layers of colourful textured paint
Weight: 0.8
Engagement ring ; two girls kissing ; 8k resolution concept art by Greg Rutkowski dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting Alphonse Mucha WLOP Jordan Grimmer orange and teal
Weight: 1
Engagement ring ; two girls kissing ; detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5
Weight: 0.9
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
Weight: -0.3
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

70%

Noise Weight

20%

Sampling method

K_LMS


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