The AI video generation landscape has matured. Today, the difference between a forgettable clip and a scroll-stopping video often comes down to one thing: your prompt. Even with powerful tools like Domer's text-to-video and image-to-video generators, the output quality is directly proportional to how well you communicate your vision.
This guide moves beyond generic advice and gives you actionable prompt frameworks you can use today.
A well-structured prompt has four layers:
Be specific about what's happening. Instead of "a person walking," try "a woman in a red coat walking briskly through a rainy Tokyo street at night, neon reflections on wet pavement."
Define the aesthetic. Use references like "cinematic, shallow depth of field, warm golden hour lighting" or "anime style, Studio Ghibli inspired, soft watercolor backgrounds."
Describe the shot. Is it a close-up, wide shot, tracking shot, or drone flyover? For example: "slow push-in on the subject's face, handheld slight shake for realism."
Add quality guardrails: "4K, photorealistic, no morphing artifacts, smooth motion, 24fps cinematic."
[Product] rotating slowly on a minimalist pedestal, soft studio lighting, macro lens, 360-degree reveal, clean white background, 4K photorealistic
For e-commerce brands, pair this with Domer's AI image generator to create the base product shot first, then animate it.
[Character description] performing [action], [environment], [mood lighting], consistent facial features across frames, smooth natural movement
Character consistency is one of the hardest challenges in AI video. Tools like Seedance 2.0 are specifically designed to maintain facial and body consistency across generated frames.
Opening shot: [wide establishing scene]. Cut to: [medium shot of subject]. Camera: [movement style]. Lighting: [mood]. Color grade: [palette]. Pace: [tempo].
Too many conflicting instructions confuse the model. Stick to 3-5 clear directives per prompt.
Always specify your target format. A prompt that works for 16:9 may produce awkward framing in 9:16.
Tell the model what you DON'T want: "no text overlays, no watermarks, no distorted faces, no rapid jump cuts."
The best AI videos come from iteration, not one-shot prompts:
Domer's AI tools suite makes this iteration loop fast with quick generation times across multiple models like GPT Image 2.
| Goal | Key Phrases to Include |
|---|---|
| Photorealism | "photorealistic, 8K, DSLR, natural lighting" |
| Cinematic look | "anamorphic lens, film grain, cinematic color grading" |
| Smooth motion | "fluid movement, no jitter, consistent frame rate" |
| Stylized | "3D render, octane render, Unreal Engine 5 quality" |
| Anime/manga | "anime art style, cel-shaded, vibrant colors" |
How long should my prompt be?
Aim for 50-150 words. Too short and the model fills gaps unpredictably. Too long and it gets confused.
Can I use reference images in my prompt?
Yes. Domer's image-to-image and image-to-video features let you provide reference images alongside text prompts for precise control.
Which model gives the best results?
It depends on your use case. Seedance 2.0 excels at character-driven content, while GPT Image 2 is ideal for high-quality stills that you can later animate.
Great AI video isn't about having the most expensive tool — it's about knowing how to talk to the tool. Master the prompt frameworks above, iterate relentlessly, and you'll consistently produce videos that stand out.

Alexander
Vidu Q4 alternatives compared: Kling 4.0, Seedance 2.5, Wan 3.0, and Runway Gen-4 — 4K support, input modes, durations, audio, and what each costs in credits on Domer.
The top 4K AI image generators on Domer compared: Flux 3 Klein, Nano Banana 2.1, GPT Image 2.5, GPT Image 2, and Nano Banana Pro — 4K credit costs, reference limits, and speed.
Nano Banana 2.1 vs GPT Image 2.5 Flare compared: credit costs per resolution, aspect ratios, reference images, text rendering, and which tasks fit each model.