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Generate stunning portraits of people running

Create your own stunning portraits of people in motion with our free AI image generator.

Dynamic Portrait of Figures in Motion
Dynamic Portrait of Figures in Motion
3 years ago

Running together ; head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic...

Created 3 years ago ยท 0 commentsยท 0 likes

Stable Diffusion 1.5

Daily Challenge #158:Running

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Creation Summary by Vincent

Dynamic Portrait of Figures in Motion

A striking portrait of two figures in motion. The image features dynamic lighting, intricate details, and a vibrant color palette, reminiscent of digital splash art.

Created by astar on Mar 20, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
Running together ; 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
Running together ; 8k resolution concept art by Greg Rutkowski dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting Alphonse Mucha WLOP Jordan Grimmer orange and teal
Weight: 1
Running together ; neo-impressionism expressionist style oil painting, smooth post-impressionist impasto acrylic painting, thick layers of colourful textured paint
Weight: 0.7
Running together ; detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5
Weight: 0.7
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

80%

Sampling method

K_LMS


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