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Flaming Evil Tree: Hyperdetailed Fantasy Art
Flaming Evil Tree: Hyperdetailed Fantasy Art
3 years ago

Arbor Diabolica Incendia

Creado hace 3 years ago · 3 comentarios· 0 Me gusta

Stable Diffusion 2.0Stable Diffusion 2.04x

#evil#tree#open-prompt-gang
🌈If you evolve my creations or copy my prompts, please leave the settings open.⚡
🌸 Wonderful title by @Shr00m 🌸
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Resumen de Creación por Vincent

Flaming Evil Tree: Hyperdetailed Fantasy Art

A hyperdetailed image of a flaming, demonic tree with soft hues. This fantasy artwork evokes album cover art, utilizing volumetric and natural lighting to enhance its intricate details.

Creado por Riyan Khan el Mar 22, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 2.0.


Imágenes de Progreso

3 comentarios

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PRO
Hell fire! It's brilliant!
2023-03-22T18:49:57.933ZReply
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Configuraciones de Creación

Prompts de texto
@Inspector @riyan creation, please leave the prompts open and credit the originators.
Insanely detailed photograph of an intricate soft hued flaming evil tree, tree on fire, stunning, intricate and hyperdetailed painting by "Anato Finnstark" "Greg Rutkowski" "Dan Witz" "Jordan Grimmer". CGSociety ZBrush Central fantasy art album cover art 4K 64 megapixels 8K resolution HDR
Weight: 1.4
tree on fire by "Android Jones" "James Jean", "Erin Hanson", "Dan Mumford". professional photography, natural lighting, volumetric lighting maximalist 8k resolution concept art intricately detailed, complex, elegant, expansive, fantastical
Weight: 0.6
mist, misty, haze, hazy, fog, foggy, blurry, noisy, pixelated, oversaturated, messy
Weight: -1.5
cut off, cut out, cropped, out of focus, out of frame
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
Modelo
Stable Diffusion 2.0
CKPT

Stable Diffusion 2.0

Resolución inicial

Thumb

Relación de aspecto

1:1

Tiempo de ejecución

Short

Peso global del Prompt

80%

Peso del Ruido

50%

Método de muestreo

K_HEUN


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