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Generate Photorealistic Wildlife Portraits with AI

Create your own photorealistic wildlife portraits! It's free, easy, and you have full creative control.

Wildebeest Portrait in Photorealistic Acrylic Style
Wildebeest Portrait in Photorealistic Acrylic Style
2 years ago

Photorealistic Wildebeest!!! Acrylic! Albert Seveso: dust and dried mud - full body portrait Android Jones: hyperdetailed. Portrait in brown...

Created 2 years ago Β· 0 commentsΒ· 0 likes

Stable Diffusion 1.5

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Creation Summary by Vincent

Wildebeest Portrait in Photorealistic Acrylic Style

A full body portrait of an angry wildebeest in the steppe. The image displays a photorealistic style with dust and mud textures, reminiscent of watercolor and acrylic art.

Created by Da-Li-Nay on Jul 29, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
Photorealistic Wildebeest!!! Acrylic! Albert Seveso: dust and dried mud - full body portrait Android Jones: hyperdetailed. Portrait in brown grey yellow - Anna Dittmann: flowy dirty full body image Russ Mills: dark smudged looking scene - scribbly brown & dusty watercolor smudged Minjae Lee: hyperdetailed ...
Weight: 1.5
Angry wildebeest in the steppe - Professional photography, bokeh, natural lighting, canon lens, shot on dslr 64 megapixels sharp focus
Weight: 1.2
yellow blue chrome Ink flow: 8k resolution photorealistic masterpiece: by Aaron Horkey Jeremy Mann: intricately detailed fluid gouache painting: by Jean Baptiste Mongue: calligraphy: acrylic: watercolor art, professional photography, natural lighting, volumetric lighting maximalist photoillustration: ...
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

16:9

Runtime

Short

Overall Prompt Weight

80%

Noise Weight

100%

Sampling method

K_LMS


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