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Goddess Kuan Yin: A Surreal Digital Painting
Goddess Kuan Yin: A Surreal Digital Painting
3 years ago

An insanely hyperdetailed whimsical fantasical painting of the Goddess Kuan Yin; the goddess's appearance: Kuan Yin is a goddess of compassi...

Created 3 years ago · 2 comments· 0 likes

Stable Diffusion 1.5

#portrait#woman#fantasy#open-prompt-gang#goddess

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Creation Summary by Vincent

Goddess Kuan Yin: A Surreal Digital Painting

A digital painting of Kuan Yin, the goddess of compassion, in a surreal and fantastical style. The artwork employs soft, ethereal lighting and a pastel color palette to evoke serenity and healing.

Created by greatday4everyone on Feb 25, 2023 using the Stable Diffusion 1.5 AI image generator model.


2 Comments

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Anonymous User
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Cool 😊

2023-02-25T06:19:48.473ZReply

Creation Settings

Text Prompts
An insanely hyperdetailed whimsical fantasical painting of the Goddess Kuan Yin; the goddess's appearance: Kuan Yin is a goddess of compassion and mercy, often depicted holding a vase of healing nectar and a willow branch. She is usually depicted wearing flowing robes and a crown or headdress, with a ...
Weight: 1
Genres: Fantasy, Mythology. Styles: Surrealism, Magical Realism. Techniques: Digital Painting, Mixed Media. Lights: Soft, Ethereal. Colors: Pastel, Serene. Descriptive terms: Compassion, Mercy, Healing, Serenity, Divine Feminine.
Weight: 1
Masterpiece digital artwork by artists: Annie Stegg Gerard, Jasmine Becket-Griffith, Kinuko Y. Craft, Stephanie Law, Nicoletta Ceccoli. 3Delight, Unity 3D, 3D shading, Unreal Engine 5, CGSociety, trending on Artstation, 8K 3D, 8K resolution.
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
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

90%

Noise Weight

20%

Sampling method

K_LMS


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