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Generate Images of Lost Children with AI

Create your own emotionally evocative images of lost children and other poignant subjects with our AI generator.

Professional Close-Up Portrait with Bokeh
Professional Close-Up Portrait with Bokeh
3 years ago

The Lost Child!

Erstellt vor 3 years ago · 0 kommentare· 0 Likes

Stable Diffusion 2.1Stable Diffusion 2.1

#blueprints#challenge#color#portrait#various
The book titled: "Story Time" is at www.lulu.com/spotlight/zerodreamidea ↗️ and the music of Nilzero is at https://nilzero.bandcamp.com/ ↗️ for everyone (over 18) to enjoy! All profits will fund art and music. Shirts and stickers: https://teespring.com/stores/nilzero ↗️ Stickers and stuff: https://www.redbubble.com/people/nilzero-project/shop ↗️ Like, share, and subscribe! Choose Your Path: Audio Only: I Wanted Love (The Wrong Way!) The Demo Mix: https://youtu.be/QZqOlSttnbQ ↗️ Audio Only: Sadness Like You! (The Fifi Rong Demo Mix!) https://youtu.be/vPmVsiv-79c ↗️
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Kreationsübersicht von Vincent

Professional Close-Up Portrait with Bokeh

A professional portrait, close-up and sharply focused. The image uses bokeh and studio lighting, reminiscent of professional photography for a LinkedIn profile picture.

Erstellt von NILZERO am Feb 16, 2024 unter Verwendung des Stable Diffusion 2.1 KI-Bildgenerator-Modells.


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Kreationseinstellungen

Voreingestellter Stil

Color Portrait

Text-Prompts
blueprints
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
Weight: -0.3
Close-up portrait, color portrait, Linkedin profile picture, professional portrait photography by Martin Schoeller, by Mark Mann, by Steve McCurry, bokeh, studio lighting, canon lens, shot on dslr, 64 megapixels, sharp focus
Weight: 0.9
Modell
Stable Diffusion 2.1
CKPT

Stable Diffusion 2.1

Anfangsauflösung

Thumb

Seitenverhältnis

1:1

Laufzeit

Short

Gesamt-Prompt-Gewicht

50%

Abtastmethode

K_LMS


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