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Adorable Red Owl Portrait in Detailed Gouache Style
Adorable Red Owl Portrait in Detailed Gouache Style
3 years ago

red winter owl

Creado hace 3 years ago · 8 comentarios· 0 Me gusta

Stable Diffusion 1.5Stable Diffusion 1.5

#portrait#nature
original prompt by adansito
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Resumen de Creación por Vincent

Adorable Red Owl Portrait in Detailed Gouache Style

A vibrant portrait of a red owl with fluffy feathers and cute eyes, rendered with ultra-fine details and deep colors. The artwork features volumetric lighting and a fantastical aesthetic.

Creado por Walner el May 14, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


8 comentarios

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Anonymous User
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Abusolutely fantastic!!💖
2023-05-17T17:15:55.362ZReply
Stunning!!!!!!!!!!!!!!😍😍😍
Splendid! 🤩

Configuraciones de Creación

Prompts de texto
Portrait of an adorable fluffy cute eyes red fire owl: art by Alberto Seveso: Carne Griffiths: James Jean: nekro: painting: contrast: 3D: ultra-fine details: lighting: fantastical: sharp focus: art: professional photography: ZBrushCentral: finalRender: Unreal Engine 5: Deep colors: depth of field: Trending ...
Weight: 3
The most beautiful chibified white owl: Black ink flow: 8k resolution photo realistic masterpiece: Android Jones: intricately detailed fluid gouache painting: Erin Hanson: acrylic: watercolor art, volumetric lighting maximalist photo illustration: concept art intricately detailed: smoke art: complex: ...
Weight: 1
cartoon, 2d, painting, drawing; disfigured; bad art; deformed; poorly drawn; extra limbs; dull colours, blurry, boring, sketch, lacklustre, repetitive, cropped, hands, blender, unreal
Weight: -3
lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, signature, watermark, broken, 2D, title, amateur, poorly drawn, ugly, flat, worst quality, low quality; bad anatomy; bokeh; cute; happy; friendly; blood
Weight: -3
Modelo
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Resolución inicial

Thumb

Relación de aspecto

1:1

Tiempo de ejecución

Short

Peso global del Prompt

40%

Peso del Ruido

90%

Método de muestreo

K_LMS


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