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3 years ago
A female with antlers covered in vines #1
Created 3 years ago · 0 comments· 0 likes
Stable Diffusion 1.5
Creation Summary by Vincent
Majestic Vine-Covered Woman with Antlers
A striking picture of a majestic woman adorned with vines and antlers. She has pastel hair and a detailed dress of vines, set against a city backdrop with a mystical aura in a comic book style.
Created by Hinty on May 27, 2023 using the Stable Diffusion 1.5 AI image generator model.
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Creation Settings
- Text Prompts
- style of jay anacleto and Didier Cassegrain and guweiz, upper body portrait of a Majestic Caucasian female covered with vines, with medium length hair of pastel color wearing a highly detailed dress made of growing vines. Antlers on head, surrounded by a mystical aura,Weight: 1.5intricate detail, highly detailed, vivid, trending on artstation, cybernetic arm, Kim Jung Gi, cinematic, illustration, comic, mandy jurgens, stunning, (City background:1.2), unreal engine 5, style of Ilya Kuvshinov and abigail larsonWeight: 1signature, username, error eyes, bug eyes, bad eyes, bad mouth, error mouth, error face, to many legs, three legs, logo, watermark,Weight: -0.4error body, error hair, error arm, error hands, bad hands, error fingers, bad fingers, missing fingers, error legs, bad legs, multiple legs, error lighting, error shadow, error reflection, text, error, extra digit, fewer digits, cropped, jpeg artifacts,Weight: -0.4cloned face, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, tiling, poorly drawn feet, cross-eye, body out of frame, bad art, watermark, letterbox, lowres,Weight: -0.4EasyNegative, canvas frame, ms paint, disfigured, bad art, deformed,extra limbs, close up, blurry, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, ugly, bad anatomy, bad proportions,Weight: -0.4
- Model
- Initial Resolution
Thumb
- Aspect Ratio
9:16
- Runtime
Short
- Overall Prompt Weight
80%
- Noise Weight
10%
- Sampling method
K_LMS
