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Generate your own 'Poor Yorick' image

Create your own poignant and thought-provoking images inspired by Shakespeare's Hamlet with our AI image generator.

Macabre Yorick Skull Digital Painting in Rich Colors
Macabre Yorick Skull Digital Painting in Rich Colors
3 years ago

Poor Yorick

Created 3 years ago · 3 comments· 0 likes

Stable Diffusion 2.12x

#shakespeare#hamlet#skull
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Creation Summary by Vincent

Macabre Yorick Skull Digital Painting in Rich Colors

A hyperdetailed digital matte painting of Yorick's skull in a Shakespearean and macabre style. The image features rich colors, intricate details, and realistic lights and shadows in a fantasycore aesthetic.

Created by AaronJ on Apr 2, 2023 using the Stable Diffusion 2.1 AI image generator model.


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3 Comments

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2023-05-27T00:50:51.491ZReply

Wonderful skull!

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Creation Settings

Text Prompts
Alas, poor Yorick! I knew him, Horatio: a fellow of infinite jest, of most excellent fancy; highly detailed maximalist complex digital matte painting by Alberto Seveso, Anna Dittman, Michael Kaluta, Geof Darrow, 16k UHD HDR 64 megapixels, Shakespearean, rich colors, hyperdetailed, atmospheric, macabre, ...
Weight: 1
maximum detail, intricate details, breathtaking rendering, highly atmospheric, impressive, rich colors, realistic lights and shadows, fantasycore, otherworldly, complex, mathematical, golden ratio, 16k UHD HDR
Weight: 0.5
blur, blurry, dirty, noisy, oversharpened, paint flecks, scratches, text, too dark, too sharp, unclear, underexposed, undeveloped, watermark, cluttered, messy, noisy, noise, text, low resolution, fuzzy, grainy, ugly, imbalanced, overworked, dingy, overexposed, messy
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
Model
Stable Diffusion 2.1
CKPT

Stable Diffusion 2.1

Initial Resolution

Thumb

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

60%

Sampling method

K_LMS


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