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Make your own portrait essays like Dan Kitchener

Create your own stunning portraits inspired by Dan Kitchener's unique style. It's free and easy!

Girl on Train, Digital Art Masterpiece
Girl on Train, Digital Art Masterpiece
3 years ago

Portrait essays with artist Dan Kitchene

Creato 3 years ago · 10 commenti· 0 mi piace

Stable Diffusion 1.5Stable Diffusion 1.5

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Girl on Train, Digital Art Masterpiece

A digital rendering of a girl on a train staring ahead. This intensely detailed, sharp focus image uses vibrant colors and elaborate glass sculpture elements in a dystopian setting.

Creato da Djiel il May 20, 2023 utilizzando il modello di generatore di immagini AI Stable Diffusion 1.5.


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Anonymous User
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Beautiful composition and feel of depth
2023-06-18T19:30:57.939ZReply
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Impostazioni Creazione

Prompt testuali
girl on the train by Dan Kitchener, perfect face. perfect eyes. looking at the camera. intensely detailed. masterpiece. sharp. f2
Weight: 3
behance contest winner, stylized digital art, smooth, ultra high definition, ultra sharp focus, intricate artwork masterpiece, , epic, TanvirTamim, h. r. giger and beksinski, highly detailed, vibrant
Weight: 1
High pass filter, airbrush, portrait, zoomed, soft light, smooth skin, closeup, deformed, extra limbs, extra fingers, mutated hands, bad anatomy, bad proportions , blind, bad eyes, ugly eyes, dead eyes, blur,
Weight: -1.4
background hyperrealistic hyperdetailed photorealistic :: Gorgeous+Stunning :: (Artgerm), (Guweiz), {Greg Rutkowski}, WLOP, [Leonid Afremov] :: Intricate, elaborate transparent glass sculpture Scenic WLOP 16K sharp focus Octane render masterpiece volumetric lighting 3d shading magnificent incredible ...
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: -1
Modello
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Risoluzione iniziale

Thumb

Proporzioni

1:1

Tempo di esecuzione

Short

Peso complessivo del Prompt

70%

Metodo di Campionamento

K_LMS


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