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Prompts Pixar-Style Dogs Golf Video Generator

model image_generation user risk: low

Pixar-Style Dogs Golf Video Generator

Produces a 10-second cinematic 9:16 vertical video in Pixar-style of joyful cartoonish dogs playing golf on a bright colorful course, featuring a centered main dog mid-swing with e…

PROMPT

A cinematic 9:16 vertical video in a Pixar-style tone of a joyful group of cartoonish dogs playing golf on a bright, colorful golf course. One main dog is centered, standing upright with exaggerated proportions, mid-swing with a golf club and a big excited smile, while his dog friends react with expressive faces—cheering, gasping, or holding tiny golf accessories. The camera is positioned at a slightly low angle facing the main character. Smooth, playful character animation with subtle squash-and-stretch. Warm, vibrant lighting, soft shadows, and rich saturated colors. Background slightly blurred with stylized trees and clouds. Smooth slow zoom in. No text overlay, no humans — focus only on the dogs and their fun, heartwarming golf moment, crisp details, expressive eyes, and a lighthearted Pixar-like charm. Duration: 10 seconds.

TOOLS REQUIRED

  • image_generation

ROLES & RULES

  1. No text overlay.
  2. No humans.
  3. Focus only on the dogs and their fun, heartwarming golf moment.

EXPECTED OUTPUT

Format
image_prompt

FAILURE MODES

  • Including text overlays or humans.
  • Failing to focus solely on dogs.
  • Deviating from Pixar-style or specified animation details.

CAVEATS

Missing context
  • Target AI video generation tool or model

QUALITY

OVERALL
0.85
CLARITY
0.95
SPECIFICITY
0.98
REUSABILITY
0.30
COMPLETENESS
0.95

IMPROVEMENT SUGGESTIONS

  • Introduce placeholders like [subject], [activity], [style] to enhance reusability as a template.
  • Specify frame rate or exact animation timing for more precise generation.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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