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4 years ago
The Archmage's Quest
Creado hace 4 years ago · 13 comentarios· 0 Me gusta
Stable Diffusion 1.56x
Trying to make some medium shot portraits. Or is that long shot already? Pretty tricky, but I was impressed that it's working at all. Negative prompts can really make a huge difference.
My collection of portraits:
And if you want even more, have a look at the outtakes:
Resumen de Creación por Vincent
Fire Mage Portrait in Digital Painting Style
A portrait of a fire mage with ambient lighting and intricate details. This digital painting showcases sharp focus and concept art elements.
Creado por Gazelli el Dec 13, 2022 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.
13 comentarios
Únete a la conversación
axolotol06 @notscary096
This looks so neat! I probably should know this, but how do negative prompts work? :)
2022-12-15T23:44:16.079ZReply
Absolutely love. These types of portraits are hard to do and you Absolutely nailed it
beautiful! medium shot or american (due of the western movies that have to show the guns. Thnx 4 the tip!
Okay now I love this! The composition is stunning! Ngl it’s reminds me of Genshin Impact
Configuraciones de Creación
- Prompts de texto
- "portrait of beautiful fire mage, intricate, tone mapped, ambient lighting, highly detailed, digital painting, artstation, concept art, sharp focus, by makoto shinkai, akihiko yoshida, Kim Jung Gi, Jean Baptiste Monge, Hayao Miyazaki"Weight: 1lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, broken, ugly, inexpressive, cgi, 3DWeight: -0.5ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draftWeight: -0.3
- Modelo
- Resolución inicial
Low
- Relación de aspecto
3:4
- Tiempo de ejecución
Short
- Peso global del Prompt
70%
- Peso del Ruido
30%
- Método de muestreo
K_DPM_2
