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Retrofuturistic Robot with Big Display Eyes
Retrofuturistic Robot with Big Display Eyes
PRO
3 years ago

Robots

Created 3 years ago · 2 comments· 0 likes

Stable Diffusion 1.5

#robot
Vincent's Avatar
Creation Summary by Vincent

Retrofuturistic Robot with Big Display Eyes

A striking picture of an enthusiastic retrofuturistic robot with large display eyes. The image is rendered with cinematic lighting, soft shadows, and sharp focus, creating a hyperrealistic and detailed scene.

Created by Phokai on Mar 6, 2023 using the Stable Diffusion 1.5 AI image generator model.


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2023-03-07T05:51:45.704ZReply
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Creation Settings

Text Prompts
"Cute Robot big display eyes "Award winning hyperrealistic masterfully composed cover art by Simon Stålenhag Octane Render futuristic galactic retro retrofuturism sci-fi high detail, octane render, cinematic, professional colorgrading, soft shadows no contrast, clean sharp focus, film fotography
Weight: 1.2
lowres text logos watermarks error cropped worst quality low quality jpeg artifacts ugly duplicate morbid mutilated out of frame extra fingers mutated hands poorly drawn hands poorly drawn face mutation deformed blurry bad anatomy bad proportions extra limbs cloned face disfigured gross proportions malformed ...
Weight: -3
Third Person, low angle:: "Cute retrofuturistic character Robot with big display eyes happy face helping enthusiastic", low stylized, minimalistic
Weight: 2.6
Low Rated, Frame, tumblr, Overlay, Getty Images, Low Quality, Worst Quality, 3D Render, Plastic, poorly drawn face, mutation, bad anatomy, bad proportions, extra limbs, out of frame, long neck, unclear, body out of frame, extra_limbs, poorly_drawn_hands, poorly_drawn_feet
Weight: -3
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

Low

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

100%

Noise Weight

0%

Sampling method

K_LMS


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