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Imposing Bighorn Sheep on Mountain Precipice
Imposing Bighorn Sheep on Mountain Precipice
4 years ago

Large and In Charge

Creato 4 years ago · 8 commenti· 0 mi piace

Stable Diffusion 1.5Stable Diffusion 1.5

#sheep#animals#mountain#painting
A Bighorn sheep, in his domain, ready to take on any challengers.
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Riepilogo della creazione di Vincent

Imposing Bighorn Sheep on Mountain Precipice

A photorealistic image of a bighorn sheep standing proudly on a mountain precipice. The artwork features crisp detail and incredible composition, in a hyperdetailed digital art style.

Creato da Inferno il Feb 27, 2023 utilizzando il modello di generatore di immagini AI Stable Diffusion 1.5.


8 Commenti

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Anonymous User
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This is cool I also followed you would you please like my Sucubus
2023-03-01T01:43:23.007ZReply
PRO
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Impostazioni Creazione

Prompt testuali
four legs, two horns, bighorn sheep standing proudly, on a mountain precipice, 16k resolution, crisp, clear, in the style of Kuvshinov Ilya, Relseiy, WLOP, artgerm, hyper detailed, photorealistic, a masterpiece, incredible composition, amazing depth, imposing, meticulously composed
Weight: 1
lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation
Weight: -1
deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature
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
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%

Peso del rumore

50%

Metodo di Campionamento

K_LMS


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