Create Your Own Sin City Inspired Images
Create your own dramatic, stylized images of urban landscapes. It's free and easy!
2 years ago
Sin City Rising
Creado hace 2 years ago · 5 comentarios· 0 Me gusta
SDXL 1.0 + 4 addons
Resumen de creación por Vincent
Cyberpunk City Dystopia with Red Sky in Anime Style
This image shows a futuristic cyberpunk dystopia with a red sky and blue mood lighting. The anime-style art is cel-shaded and flat shaded with linocut techniques.
Creado por GraalOtonami el Jul 7, 2024 usando el modelo generador de imágenes de IA SDXL 1.0 + 4 addons.
5 comentarios
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DarkWizard83 @DarkWizard83
Love the cyberpunk feel to this.
2024-07-13T00:54:08.782ZReply
From the weird to the wonderful, from the beautiful and elegant to the striking and dynamic, you all made an incredible showing in this round and really did these LoRAs proud. Thank you to everyone, congratulations to our winners but I feel like everyone deserves our appreciation for this showing. Here are the results of the challenge,
IMO has a boatload of LoRAs as I've mentioned, so check them out, you definitely want to try it using more of them and throw some likes on them while you're there!
Up next! A single LoRa that I have used to great effect several times in the past. Stylised by Wolf Parsnip. Stick around and see what you can do with it!
Really enjoy noticing your work in these showcases.
Configuraciones de Creación
- Prompts de texto
- <lora:CyberGraal:0.4> <lora:Dryadic Decay:0.2> <lora:Sin City:0.2> <lora:Red Rising:0.2> Anime artstyle, cel-shaded, flat shaded Linocut. Futuristic. Red sky, blue mood lighting. cyberpunk city dystopia. Rain and mistWeight: 1Portrait, 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, draftWeight: -2.8
- Modelo
CKPT- Modelos complementarios
- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Short
- Peso global del Prompt
50%
- Método de muestreo
K_DPMPP_2M
