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The Nativity Scene: Hyperdetailed Digital Painting
The Nativity Scene: Hyperdetailed Digital Painting
3 years ago

Away in a Manger

Created 3 years ago · 2 comments· 0 likes

Stable Diffusion 1.5

Vincent's Avatar
Creation Summary by Vincent

The Nativity Scene: Hyperdetailed Digital Painting

A hyperdetailed digital painting of the Nativity scene. Mary and Joseph are in a stable with the baby Jesus, shepherds and sheep in the distance. Angels fill the night sky in celebration, as 3d rendered digital art.

Created by RandomlyGeneratedName on Dec 24, 2022 using the Stable Diffusion 1.5 AI image generator model.


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2022-12-24T12:10:31.181ZReply
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Creation Settings

Text Prompts
The Nativity, photography, intricate and hyperdetailed painting by Ismail Inceoglu Huang Guangjian and Dan Witz CGSociety ZBrush Central fantasy art album cover art 4K 64 megapixels 8K resolution HDR" Australian Performers at Christmas
Weight: 2.5
The Virgin Mary and Joseph in a stable with the baby Jesus, head and shoulders portraits, 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 ...
Weight: 1.1
Soft clear night sky, angel host in sky singing celebrations, shepherd watch in the field their sheep in the distance
Weight: 0.3
The First Christmas, Bethlehem 3BC. 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: 0.6
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, red suit, Santa suit
Weight: -0.3
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

16:9

Runtime

Short

Overall Prompt Weight

90%

Sampling method

K_LMS


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