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Adorable Water Dragon Portrait in Anime Style

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DragonIdk @Dragons_aregreat

3 years ago

Womp Womp

Creado hace 3 years ago · 4 comentarios· 0 Me gusta

Juggernaut XL v7

#open-prompt-cult #open-prompt-gang

Resumen de creación por Vincent

Adorable Water Dragon Portrait in Anime Style

This image shows an adorable, mythical, large-eyed, tiny dragon composed of water. The dragon is set against an intricate fantasy background with dynamic lighting. This digital artwork is hyperdetailed with a splash art aesthetic.

Creado por DragonIdk el Feb 12, 2024 usando el modelo generador de imágenes de IA Juggernaut XL v7.

4 comentarios

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JB @ArtAIJB

[Removed]

2024-02-12T14:00:11.663ZReply

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ElizaF @ElizaF

Just lovely!

2024-02-12T13:25:37.623ZReply

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Configuraciones de Creación

Prompts de texto: Portrait of an adorable mythical beautiful large eyed tiny dragon made of water, liquid dragon, water dragon created out of water, intricate fantasy background, incredible composition, dynamic lighting, hyperrealism, hyper detailed, photorealistic, 18k resolution, realism, cel shaded, Volumetric lighting, ...
Weight: 3
by artist "anime", Anime Key Visual, Japanese Manga, Pixiv, Zerochan, Anime art, Fantia
Weight: 2.9
Hyperrealistic, splash art, concept art, mid shot, intricately detailed, color depth, dramatic, 2/3 face angle, side light, colorful background
Weight: 0.8
2d, cartoon, animated, drawing, closeup, cropped, multiple bodies, out of frame, borders, cropped, multiple heads, cartoon, drawing, framed, out of frame, grainy, unclear, lowres, 2d, dull, flat, 3d digital art, bokeh, dull, flat, not colorful, minimalism
Weight: -0.8
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: CKPT
Juggernaut XL v7
Resolución inicial: Medium
Relación de aspecto: 1:1
Tiempo de ejecución: Short
Peso global del Prompt: 30%
Peso del Refinador: 25%
Peso del Ruido: 0%
Método de muestreo: K_DPMPP_2M