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Generate dramatic movie scenes with AI

Create your own dramatic movie scenes with AI. It's free and easy to generate images that capture conflicting emotions.

Inside Out Characters Meet a Priest: Animation Still
Inside Out Characters Meet a Priest: Animation Still
3 years ago

Movie-Movie Game #08: Conflicting feelings come alive when a nun (Meryl Streep) is not so sure about the new priest (Philip Seymour Hoffman)

Created 3 years ago · 3 comments· 0 likes

Stable Diffusion 1.515.6x

#open-prompt-gang#movie-movie-game#tv-movie-game#movie-tv-game#tv-tv-game

To play, combine the titles of the two movies hinted at in the description.

The end of the first title overlaps with the start of the second like this: “Batman” + “Anaconda” = “BatmAnaconda”

See prompt for solution

More games:

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Creation Summary by Vincent

Inside Out Characters Meet a Priest: Animation Still

This image shows the Inside Out characters meeting a priest. Rendered as a highly detailed animation, it features deep colors, complementary color schemes and intricate details reminiscent of a Pixar movie still.

Created by Portrait of Your Mom on May 24, 2023 using the Stable Diffusion 1.5 AI image generator model.


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3 Comments

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Anonymous User
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Fun pic, Bernard!

2023-05-31T17:13:46.829ZReply
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Creation Settings

Text Prompts
Solution: Inside Out + Doubt = InsiDoubt
Inside Out characters and a priest
Weight: 1
detailed animation, deep color, fantastical, intricate detail, splash screen, movie still, animation cell, advertisement, complementary colors, 8k resolution trending on Artstation Unreal Engine 5 :: Pixar, illumination studio, handsome and beautiful character actors
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

Medium

Overall Prompt Weight

90%

Noise Weight

100%

Sampling method

K_LMS


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