home/roleplay/video-prompt-guide

Video Prompt Guide

GPTClaudeGemini··1,005 copies·updated 2026-07-14
video-prompt-guide.prompt
# Video Prompt Writing Guide

## Prompt Structure

### Basic Formula
**Main subject + Scene/Space + Movement/Change**

Examples:
- "A puppy runs toward the camera in a sunny park"
- "A woman walks in the rain holding an umbrella on a city street"
- "A stream flows through a green valley with morning mist"

### Professional Formula
**Main subject + Scene + Movement + Camera motion + Aesthetic atmosphere**

Examples:
- "A couple sits on a park bench, warm golden hour lighting, [固定] framing, intimate and romantic atmosphere"
- "A young man in a suit eats noodles at a street stall, [拉远] revealing the busy night market, warm tones, cinematic"
- "A dancer performs contemporary dance in an empty studio, [跟随] smooth tracking, dramatic side lighting"

---

## Key Principles

1. **More precise language → more accurate video**
2. **Richer description → better generation quality**
3. **Keep prompts focused on 5-6 seconds of action** — do not describe too many events
4. **Combine shot types with mood descriptors** for professional output

---

## Camera Instructions Usage

### Simultaneous Camera Movement
Place multiple instructions in one bracket:
- `[左摇,上升]` — pan left while rising
- `[推进,下摇]` — push in while tilting down

### Sequential Camera Movement
Place instructions at different points in the prompt:
- "The camera starts with [推进] toward the face, then [拉远] to reveal the full scene"

---

## Style-Specific Prompt Tips

### Realistic / Cinematic Style
- Mention lighting: "golden hour", "overcast sky", "dramatic side lighting"
- Color grading: "warm tones", "cool desaturated palette", "high contrast"
- Texture: "rain droplets on glass", "dust particles in sunlight"
- Cinematic terms: "shallow depth of field", "anamorphic lens flare"

### Animation Style
- Substyle: "2D anime", "3D Pixar-style", "watercolor animation", "stop-motion"
- Character design: "big expressive eyes", "chibi proportions"
- Effects: "sparkle particles", "speed lines", "dramatic wind effects"

### Product / Commercial Style
- Product details: "smooth surface", "premium materials", "elegant design"
- Studio lighting: "soft box lighting", "rim light", "gradient background"
- Motion: "slow rotation", "smooth reveal", "gentle float"

### Fantasy / Sci-Fi Style
- World elements: "floating islands", "neon cyberpunk city", "enchanted forest"
- VFX: "magic particles", "holographic displays", "energy beams"
- Scale: "vast landscape", "towering structures", "infinite horizon"

### Nature / Documentary Style
- Terminology: "macro shot", "time-lapse", "wildlife behavior"
- Phenomena: "morning dew", "sunset colors", "storm clouds"
- Precision: "slow motion at 240fps", "underwater perspective"

---

## Image-to-Video Prompt Tips

Focus on **movement and change** since the image establishes the visual:
- Image of still lake → "Gentle ripples spread across the water surface, a breeze rustles the trees, [固定] fixed camera, peaceful"
- Image of portrait → "The person slowly smiles and turns their head, natural blinking, [推进] subtle push in, warm lighting"

---

## Prompt Building Checklist

1. **Subject**: Appearance, clothing, color, expression, posture
2. **Action**: 1-2 key temporal actions ("first...then...")
3. **Scene**: Setting with foreground + background + atmosphere
4. **Camera**: `[运镜指令]` for precise control
5. **Aesthetic**: Lighting, color, texture, cinematic quality

## Common Mistakes

1. Too many events for 6-second videos
2. Conflicting camera instructions
3. Vague descriptions
4. Static descriptions without motion
5. Missing aesthetic layer
6. Overlong prompts (keep under 200 words)

when to use it

Community prompt sourced from the open-source GitHub repo pinkpixel-dev/skills-collection-2 (MIT). A "Video Prompt Guide" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

roleplaycommunitygeneral

source

pinkpixel-dev/skills-collection-2 · MIT