Generate anime battle scenes with AI
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An insanely hyper-detailed stunning breathtaking anime painting of a fierce battle between two sword-wielding warriors on a narrow stone bri...
Stable Diffusion 1.5
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विन्सेंट द्वारा सृजन सारांश
Epic Anime Battle on Stone Bridge
A digital painting shows two warriors in a fierce battle on a stone bridge. The action scene is rendered in bold, saturated colors with dynamic brushwork, reminiscent of anime. High contrast and dramatic shadows add intensity.
सृजित Mar 5, 2023 को greatday4everyone द्वारा, Stable Diffusion 1.5 एआई छवि उत्पन्न मॉडल का उपयोग करके।
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सृजन सेटिंग्स
- प्रॉम्प्ट टेक्स्ट
- An insanely hyper-detailed stunning breathtaking anime painting of a fierce battle between two sword-wielding warriors on a narrow stone bridge spanning a roaring river in a lush forest. One warrior wears red armor with a dragon emblem, while the other wears blue armor with a phoenix emblem.Weight: 2Both are highly skilled and evenly matched, with their swords clashing in a shower of sparks. The scene is filled with tension and danger, as one wrong move could send either warrior plunging into the raging river below.Weight: 2Genres: Action, Adventure, Fantasy Styles: Anime, Realism Mediums and Techniques: Digital Painting, Dynamic Brushwork, Photorealism Lights: High Contrast, Dramatic Shadows Colors: Bold and Saturated, Contrasting Red and BlueWeight: 1Descriptive terms: Intense, Dynamic, Epic Masterpiece award-winning artwork by Artists: Yoji Shinkawa, Tetsuya Nomura, Ken Sugimori, Akihiko Yoshida, Takeshi ObataWeight: 1Studio Ghibli, Anime Key Visual, by Makoto Shinkai, Deep Color, Intricate, 8k resolution concept art, Natural Lighting, Beautiful CompositionWeight: 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, draftWeight: -0.3
- मॉडल
- प्रारंभिक संकल्प
Thumb
- आस्पेक्ट रेश्यो
1:1
- रनटाइम
Short
- कुल प्रॉम्प्ट वजन
100%
- शोर वजन
0%
- सैंपलिंग विधि
K_LMS
