Create ancient ruins art with AI
Conjure your own mysterious ancient ruins with our free AI image generator. Endless styles and artistic influences are possible!
4 years ago
Ancient ruins caught in a fishing net, by Alexander Jansson, Dariusz Zawadzki, Zdzisław Beksiński, Gustave Doré and Greg Rutkowski
Coherent2x
विन्सेंट द्वारा सृजन सारांश
Mysterious Ruins Trapped in Net: Digital Matte Painting
A hyperdetailed digital painting of ancient ruins entangled in a fishing net. The artwork features cel-shaded elements, deep colors, and a blend of unsettling and magical themes, rendered with shadow depth.
सृजित May 19, 2022 को NightCafeHooliGAN द्वारा, Coherent एआई छवि उत्पन्न मॉडल का उपयोग करके।
प्रगति छवियाँ
अभी तक कोई टिप्पणी नहीं
पहला उत्तर देने वाला बनें!
No comments yet.
सृजन सेटिंग्स
- प्रॉम्प्ट टेक्स्ट
- Ancient ruins caught in a fishing net, by Alexander Jansson, Dariusz Zawadzki, Zdzisław Beksiński, Gustave Doré and Greg RutkowskiWeight: 1Ancient ruins caught in a fishing netWeight: 1Hyper detailed digital matte painting, concept art, hyperrealism, 16k resolution, Cinema 4D, 8k resolution, coherent, CGSociety, ZBrush Central, behance HD, a masterpieceWeight: 0.9particles, cel-shaded, depthWeight: 0.1film noir, neon, colourful, beautiful, deep colors, bright, bokeh, hypermaximalistWeight: 0.4horror, creepy, unsettling, dark, disturbing, mysterious, strange, odd, weird, sinister, ominous, scary, magic, spells, incantation, geometric, mandala, celestial, cosmic, by Stephan Martiniere and Alexander FedosavWeight: 0.7AppGameKit, Art of Illusion, Artrift, CryEngine, finalRender, Flickr, IMAX, Polycount, r/Art, rendered in Blender, shadow depth, Sketchfab, Sketchlab, Substance Designer, VRay, Unreal EngineWeight: 0.8blur, blurry, undeveloped, noisy, watermark, scratches, messyWeight: -1Realistic diorama of gamedev competition octopus and robot hi-tech by Steven Belledin, Daarken, and Anato FinnstarkWeight: 1
- मॉडल
CKPT- प्रारंभिक संकल्प
Low
- आस्पेक्ट रेश्यो
4:3
- कुल प्रॉम्प्ट वजन
90%
- प्रारंभ छवि वजन
50%
- शोर वजन
50%
- सटीकता वृद्धि
कोई नहीं
