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Generate Your Own Images of Laughing People

Create your own images of laughing people! It's free and easy to generate lifelike portraits with our AI.

Laughing Elderly Man Portrait in Hyperdetailed Style
Laughing Elderly Man Portrait in Hyperdetailed Style
3 years ago

Laughing man

सृजित 3 years ago · 1 टिप्पणी· 0 लाइक

SDXL 1.0SDXL 1.0

Daily Challenge #421:Laughing Faces

विन्सेंट का अवतार
विन्सेंट द्वारा सृजन सारांश

Laughing Elderly Man Portrait in Hyperdetailed Style

This image shows an elderly man laughing joyfully. The portrait features dynamic lighting and intricate details, rendered with volumetric lighting in a hyperdetailed digital art style.

सृजित Dec 8, 2023 को Baba Adlenpak द्वारा, SDXL 1.0 एआई छवि उत्पन्न मॉडल का उपयोग करके।


1 टिप्पणी

बातचीत में शामिल हों

Anonymous User
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Congratulations on your magnificent "laughing faces" artwork. You've really captured the fabulous moment of laughter. Since we've seen far fewer laughing portraits since this Daily challenge, I'd like to invite you to take part in the new "Laughing faces" challenge. Would you be willing to submit a new creation at least as good as this one for this challenge ?
On Nighcafé, portraits of beautiful people abound, but most of the time, they don't express any emotion. The aim here is to express joy through smiles and/or laughter.
2024-02-17T19:09:59.687ZReply

सृजन सेटिंग्स

प्रॉम्प्ट टेक्स्ट
A beautiful old man laughing, 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
Weight: -0.3
मॉडल
SDXL 1.0
CKPT

SDXL 1.0

प्रारंभिक संकल्प

Medium

आस्पेक्ट रेश्यो

3:4

रनटाइम

Short

कुल प्रॉम्प्ट वजन

65%

सुधारक वजन

50%

सैंपलिंग विधि

K_DPMPP_2M


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