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Make your own Ranunculus flower painting with AI

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Hyperrealistic Ranunculus Flower Portrait as Oil Painting
Hyperrealistic Ranunculus Flower Portrait as Oil Painting
3 years ago

Insanely detailed hyperrealistic close-up portrait painting of a beautiful Ranunculus in natural state;

Created 3 years ago ยท 1 commentยท 0 likes

Stable Diffusion 1.5

#open-prompt-gang#greatday4every1#beautiful#flowers#ranunculus

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Vincent's Avatar
Creation Summary by Vincent

Hyperrealistic Ranunculus Flower Portrait as Oil Painting

This image shows a hyperrealistic close-up of a Ranunculus flower. The photorealistic floral art uses oil painting techniques to capture the flower's delicate petals and vivid colors in warm sunlight.

Created by greatday4everyone on Mar 7, 2023 using the Stable Diffusion 1.5 AI image generator model.


1 Comment

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Anonymous User
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very lovely

2023-03-07T03:54:22.895ZReply

Creation Settings

Text Prompts
Insanely detailed hyperrealistic close-up portrait painting of a beautiful Ranunculus in natural state;
Weight: 2.1
Appearance: Showcasing delicate petals, intricate stamen, and vivid colors;
Weight: 2
Genres: Photorealism, Naturalism, Floral Art;
Weight: 1
Styles: Hyperrealism, Impressionalism;
Weight: 1
Techniques: Oil painting, airbrushing, blending, layering;
Weight: 1
Light settings: Sun-kissed, warm sunlight, gentle shadows;
Weight: 1
Colors: Pink, yellow, orange, green, pastel;
Weight: 1
Descriptive terms: Delicate, intricate, vivid, warm, graceful;
Weight: 1
by Artists: Richard Schmid, Jaclyn Morris, Richard Schmid, David Jon Kassan, Robert Moore;
Weight: 1
8K 3D, CGSociety, trending on Artstation, 8K resolution,unreal engine 5
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

0%

Sampling method

K_LMS


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