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2 years ago
Nyarlathotep, known by his epithet The Crawling Chaos, Gloucester, MA
Creado hace 2 years ago · 5 comentarios· 0 Me gusta
Virtual Utopia XL
Resumen de Creación por Vincent
Lovecraftian Monster in Gloucester, MA Watercolor
A dark fantasy watercolor of Nyarlathotep, the Crawling Chaos, walking through Gloucester, MA in 1790. He is depicted as a tall, thin, cheerful man in a black robe.
Creado por Krizza el Jun 7, 2024 usando el modelo generador de imágenes de IA Virtual Utopia XL.
5 comentarios
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Eumeswill @Eumeswill
Unusual style but creative, and all in all, very good depiction! This is a very evocative pic, the core quality for a Mythos image!
2024-06-12T05:10:09.003ZReply
Nice. I like the touch of the surreal here for an entity so intimately connected with madness! 👍👍
Thank you for playing in my "H.P. Lovecraft's Mythos" Challenge Congratulations to our winner, The Secret Cultist, our runner up, Forged Anew and our third place MatthewC. Thanks to all our wonderful entrants for this amazing showcase of Lovecraftian art. Special thanks to all the good folk who returned to vote. We could not do this without your support
Your fabulous weird horror creation was a pleasure to see and made for a very fun, thrilling vote. Thank you for sharing your passion, imagination and creativity with and making T3 the vibrant and interesting, place it is. I hope you had as much fun as I did and will join us again in the next challenge starting soon.
Regards Forged Anew
Full challenge results available here
Next up: Fantasy
Configuraciones de Creación
- Prompts de texto
- Dark fantasy watercolor showing a Lovecraftian monster, Nyarlathotep, or The Crawling Chaos on the streets of Gloucester, MA in 1790. He is a tall, ultra-thin cheerful man, with pitch black skin wearing a black robe. He is faceless, only eyes showing dimly in the night under a full moon with stars.Weight: 1
- Modelo
- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Short
- Peso global del Prompt
75%
- Peso del Refinador
Apagado
- Método de muestreo
K_DPMPP_2M
