How to Write Perfect AI Video Prompts: Complete Guide for Whisper Thunder
Master the art of AI video prompt writing with our comprehensive guide. Learn proven techniques, examples, and best practices to create stunning videos with Whisper Thunder.
How to Write Perfect AI Video Prompts: Complete Guide for Whisper Thunder
Introduction: Why Prompt Quality Matters
Creating exceptional AI-generated videos starts with writing effective prompts. Whisper Thunder (aka David), currently ranked #1 on the Artificial Analysis leaderboard with an ELO score of 1,246[1], excels at interpreting detailed prompts and transforming them into stunning 1080p videos. Understanding how to craft these prompts is the difference between mediocre results and professional-quality content.
According to TechCrunch AI Editor Kyle Wiggers, modern AI video models like Whisper Thunder represent "a significant milestone in the ability of visual generative models to simulate real-world physics"[2]. But to unlock this potential, you need to master the art of prompt engineering.
The Four-Pillar Framework
Every successful AI video prompt should include four essential elements that work together to guide the model toward your vision. This framework has been validated through thousands of community comparisons on independent benchmarking platforms.

1. Subject & Action: The Core Elements
The subject defines what appears in your video, while action describes what happens. Whisper Thunder's superior prompt adherence—demonstrated by its consistent top ranking across 7,820+ blind comparisons[1]—means detailed subjects translate directly into accurate visual representations.
Effective subject descriptions include:
- Physical characteristics (age, appearance, clothing)
- Object details (make, model, condition, materials)
- Creature attributes (species, size, distinctive features)
Action specifications should describe:
- Primary movement (walking, flying, driving)
- Speed and intensity (slow-motion, rapid, gentle)
- Interaction with environment (splashing water, kicking dust)
"I watched their sample videos and I'm not super impressed, honestly... comparing it to Veo2 or Hunyuan, it's lacking on clarity and motion."
— u/Recoil42, Reddit r/singularity discussion on competing models[3]
This community feedback highlights why Whisper Thunder's motion quality advantage is crucial. When crafting prompts, leverage this strength by requesting complex, realistic movements.
2. Visual Style: Setting the Aesthetic
Visual style encompasses three critical dimensions: art style, mood, and lighting.
Art Style Options:
- Photorealistic: "4K cinematic footage, professional color grading"
- Anime/Cartoon: "Studio Ghibli style, hand-drawn animation aesthetic"
- 3D Animation: "Pixar-quality rendering, soft shadows, ambient occlusion"
Mood Descriptors:
- Dramatic (high contrast, intense shadows)
- Peaceful (soft focus, pastel colors)
- Energetic (vibrant colors, dynamic composition)
Lighting Techniques:
- Golden hour (warm, directional sunlight)
- Neon/cyberpunk (colored artificial light, high contrast)
- Soft diffused (even lighting, minimal shadows)
3. Camera Movement: Dynamic Cinematography
Camera movement adds professional polish to your videos. Whisper Thunder's advanced physics simulation handles complex camera work that would challenge other models.
Static Shots:
- "Locked tripod shot, steady frame"
- "Fixed wide angle, no camera movement"
Dynamic Movements:
- "Smooth pan left to right"
- "Slow zoom in on subject"
- "Orbital drone shot circling the scene"
Complex Cinematography:
- "Crane shot rising from ground level to bird's eye view"
- "Dolly zoom (vertigo effect) while tracking subject"
- "Steadicam following action through environment"
4. Technical Details: Precision Control
| Parameter | Options | Best For |
|---|---|---|
| Duration | 5s, 10s, 20s | 5s for quick clips, 10s for standard, 20s for storytelling |
| Aspect Ratio | 16:9, 9:16, 1:1 | 16:9 for YouTube, 9:16 for TikTok/Reels, 1:1 for Instagram |
| Quality | 1080p, 4K | 1080p for fast generation, 4K for maximum detail |
Complete Prompt Examples with Analysis
Example 1: Nature Documentary
"A majestic bald eagle with white head and dark brown feathers, soaring gracefully through a mountain valley at golden hour, misty peaks in the background with warm sunlight breaking through clouds, cinematic aerial drone shot following the eagle's flight path, 4K quality, natural documentary style with David Attenborough-esque cinematography."
Why this works:
- ✅ Specific subject (bald eagle with detailed features)
- ✅ Clear action (soaring gracefully)
- ✅ Rich environment (mountain valley, golden hour, mist)
- ✅ Professional style (aerial drone, documentary aesthetic)
Example 2: Cyberpunk Urban
"A sleek matte black sports car with glowing cyan underglow, speeding through a rain-soaked cyberpunk city street at night, neon signs in Japanese and English reflecting in puddles, towering skyscrapers with holographic advertisements, low-angle tracking shot keeping pace with the car, Blade Runner 2049 aesthetic, high contrast lighting with vibrant neon colors, 16:9 aspect ratio."
Why this works:
- ✅ Detailed subject (sports car with specific lighting)
- ✅ Dynamic action (speeding, tracking shot)
- ✅ Immersive environment (rain, neon, holograms)
- ✅ Distinctive style (Blade Runner reference, color palette)
Example 3: Fantasy Epic
"An ancient stone dragon statue covered in moss and vines, slowly coming to life as cracks form and glow with inner fire, massive wings unfurling and shedding debris, inside a forgotten temple with shafts of mystical blue light streaming through broken ceiling, dust particles and embers floating in the air, crane shot starting low and rising to reveal the dragon's full majesty, epic fantasy cinematography with dramatic lighting, Lord of the Rings production quality, 10-second duration."
Why this works:
- ✅ Transformative subject (statue to living dragon)
- ✅ Complex action sequence (cracking, glowing, unfurling)
- ✅ Atmospheric environment (temple, mystical light, particles)
- ✅ Cinematic style (crane shot, fantasy aesthetic)
Advanced Techniques: Leveraging Whisper Thunder's Strengths
Whisper Thunder's #1 ranking isn't accidental—it excels in specific areas where competing models struggle.
1. Complex Motion Physics
Unlike models that produce "lacking clarity and motion"[3], Whisper Thunder handles sophisticated physics accurately:
- "Fabric billowing in wind with realistic folds and shadows"
- "Water splashing with accurate droplet trajectories and surface tension"
- "Smoke dispersing naturally with volumetric lighting"
2. Multi-Element Scenes
With 7,820+ successful comparisons[1], Whisper Thunder reliably handles prompts with multiple subjects:
- "A busy marketplace with dozens of people, each with distinct clothing and movement"
- "A forest scene with birds flying, leaves falling, and sunlight filtering through branches"
3. Lighting Complexity
Request sophisticated lighting setups:
- "Rim lighting separating subject from background"
- "Volumetric god rays through atmospheric haze"
- "Multiple colored light sources with realistic color mixing"
Common Mistakes to Avoid
1. Vague Descriptions
❌ "A person walking"
✅ "A young woman in her 20s with long brown hair, wearing a flowing white dress, walking barefoot along a sandy beach at sunset"
2. Conflicting Instructions
❌ "Photorealistic anime style" (contradictory)
✅ "Anime style with detailed shading and realistic lighting"
3. Overloading with Details
Focus on the most important 10-15 elements rather than listing 50 minor details.
4. Ignoring Physics
❌ "A car floating in mid-air for no reason"
✅ "A car launching off a ramp, airborne mid-jump with wheels spinning"
Industry Context: Why This Matters
The AI video generation landscape is rapidly evolving. According to a 2024 study commissioned by the Animation Guild, 75% of film production companies that adopted AI have reduced or eliminated jobs[2]. As these tools become more powerful and accessible, the ability to craft effective prompts becomes a valuable professional skill.
"Sora isn't even sota. Weird way of phrasing it"
— u/Tim_Apple_938, Reddit discussion on AI video model rankings[3]
This community observation reflects the rapid pace of innovation. Models that were state-of-the-art months ago are now surpassed by newer releases like Whisper Thunder.
Conclusion: Practice Makes Perfect
Mastering AI video prompts is both an art and a science. While the four-pillar framework provides structure, creativity and experimentation unlock the full potential of Whisper Thunder's capabilities.
Remember: Whisper Thunder's #1 ranking with 1,246 ELO score[1] means you're working with the best tool available. The only limit is your imagination—and the quality of your prompts.
References
- Artificial Analysis. (2025). Text to Video Leaderboard. Retrieved from artificialanalysis.ai/video/leaderboard
- Wiggers, K. (2025, March 31). Runway releases an impressive new video-generating AI model. TechCrunch. Retrieved from techcrunch.com
- Reddit r/singularity. (2024, May). Runway's New AI Challenges OpenAI's Sora With More Cohesive Videos. Retrieved from reddit.com/r/singularity