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Generate Your Own Baby Raccoon Portraits

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Adorable Baby Raccoon Portrait in Soft Pastel Digital Art
Adorable Baby Raccoon Portrait in Soft Pastel Digital Art
3 years ago

A heartwarming and playful portrait of a baby raccoon, with a face full of innocence and wonder, cute, adorable, lovely, and beautiful. soft...

Created 3 years ago · 0 comments· 0 likes

Stable Diffusion 1.5Stable Diffusion 1.5

#raccoon
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Creation Summary by Vincent

Adorable Baby Raccoon Portrait in Soft Pastel Digital Art

A heartwarming portrait of a baby raccoon with an innocent expression. The digital painting employs soft pastels, warm tones and natural light to capture the raccoon's charm in hyperdetailed 8K resolution.

Created by greatday4everyone on Mar 24, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
A heartwarming and playful portrait of a baby raccoon, with a face full of innocence and wonder, cute, adorable, lovely, and beautiful. soft pastels, warm tones, and natural hues. realism digital painting, use of light and shadow, attention to detail in the raccoon's expression
Weight: 1.9
Light setting: natural and soft lighting, with a hint of sunlight. Artists: J. C. Leyendecker, John Singer Sargent, Norman Rockwell, John Everett Millais, and Dante Gabriel Rossetti. 8K 3D, Unreal Engine 5, CGSociety, trending on Artstation, 8K resolution
Weight: 1
head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
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

100%

Noise Weight

10%

Sampling method

K_LMS


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