Generate Your Own Werewolf Images with AI
Create your own fearsome werewolves with our free AI image generator. It's easy and fun!
3 years ago
A Big Brown Werewolf
Creado hace 3 years ago · 0 comentarios· 0 Me gusta
SDXL 1.02x
Just playing around with a prompt I found. I have tried to do a were before, but they always turned out looking wrong for me. I am happy with how these images look, so I am going to share.
Just leave this prompt open for others! That's all I ask. Thanks! 😊
Resumen de Creación por Vincent
Werewolf Transformation in Gritty Gothic Style
A full body image of a werewolf undergoing a painful transformation in a cobblestone alleyway under moonlight. The artwork features gothic and gritty elements as a detailed matte painting.
Creado por Tallameia el Dec 7, 2023 usando el modelo generador de imágenes de IA SDXL 1.0.
Imágenes de Progreso
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Configuraciones de Creación
- Prompts de texto
- full shot, Werewolf mid transformation, half human, cobblestone alley, moonlight, painful, writhing, in the style of todd macfarlane, scary, moody, grim, gritty, atmospheric lighting, gothic, 4k, uhd, dynamic composition, acrylic paintingWeight: 1detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5Weight: 1Ugly, 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, Asian Face, Asian facial features, crossed eyes, crazy eyes, lazy eyesWeight: -1Squinting eyes, narrow eyes, border, frame, signature, text, letters, cloned face, large ears, long neck, draft, deformed ears, logo, extra fingers, mutated hands, fused fingers, melding limbs, short hair, overly long fingers, more than 5 fingersWeight: 1
- Modelo
CKPT- Resolución inicial
Medium
- Relación de aspecto
3:4
- Tiempo de ejecución
Medium
- Peso global del Prompt
80%
- Peso del Refinador
50%
- Método de muestreo
K_DPMPP_2M
