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Mystical Forest Scene with Giant's Breakfast
Mystical Forest Scene with Giant's Breakfast
4 years ago

Massive Forest Magic

सृजित 4 years ago · 0 टिप्पणी· 0 लाइक

Stable Diffusion 1.5Stable Diffusion 1.5

Breakfast for a hungry giant. Ferdinand Knab, Caspar David Friedrich, Jordan Grimmer, Thomas Kinkade, super-detailed, intricately detailed S...
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Mystical Forest Scene with Giant's Breakfast

A detailed view of a magical forest scene with giant's breakfast. Light rays pierce the haze, illuminating winding trees, a stream, and mystical lights in this fantasy concept art.

सृजित Mar 13, 2023 को Miny Boy द्वारा, Stable Diffusion 1.5 एआई छवि उत्पन्न मॉडल का उपयोग करके।


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सृजन सेटिंग्स

प्रॉम्प्ट टेक्स्ट
Breakfast for a hungry giant. Ferdinand Knab, Caspar David Friedrich, Jordan Grimmer, Thomas Kinkade, super-detailed, intricately detailed Splash art, trending on Artstation, process colors, Unreal Engine 5, surround lighting,bright large, incredibly rich environment
Weight: 1
rays of light breaking through the haze, bright light, a mysterious forest with winding tree branches, a stream, magical lights in the forest, Mysterious Lighting, 8k resolution, fantasy concept art. by Greg Rutkowski, Artgerm, dynamic lighting hyperdetailed intricately detailed Splash art trending on ...
Weight: 1
triadic colors Unreal Engine 5 volumetric lighting, digital painting, cinema 4d, hyperrealism, realistic, filigree, embroidered, woven, textured, zardosi embroidery, crochet, beadwork, Josephine Wall, dynamic light, 8k resolution Artstation,
Weight: 1
Professional photography, sharp focus, Epic cinematic, magic, magical, mystical, fantastical, embossed, appliqué
Weight: 1
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, draft
Weight: -0.3
मॉडल
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

प्रारंभिक संकल्प

Thumb

आस्पेक्ट रेश्यो

16:9

रनटाइम

Short

कुल प्रॉम्प्ट वजन

80%

सैंपलिंग विधि

K_LMS


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