Abstract
AI video generation has matured into a production-ready technology. Whether you need text-to-video for quick social clips or image-to-video for professional animations, the right tools and workflows can save you weeks of production time. This guide covers everything from model selection to final output.
The Two Core Generation Methods
Text-to-Video (T2V)
The most accessible entry point. Describe what you want to see, and the AI generates a video clip. Modern models understand cinematic language — you can specify camera angles, lighting, movement speed, and even film stock references.
Domer's AI Video Generator handles text-to-video with industry-leading quality. The key to great results is prompt engineering: be specific about framing, lighting, and action.
Image-to-Video (I2V)
Start with an image and bring it to life. This method gives you more control over the initial composition. Create the perfect still frame first, then animate it.
Domer's image-to-video tool excels at this — upload any image and get a fluid, natural-looking animation within seconds.
Choosing the Right Model
Different models excel at different tasks. Here's a practical breakdown:
For Cinematic Quality
Seedance 2.0 delivers exceptional motion fluidity and visual fidelity. Use it when production quality is paramount.
For Character Consistency
GPT Image 2 maintains character identity across multiple generations — essential for serialized content.
For Quick Iterations
The standard video generation models on Domer handle rapid prototyping and social media content perfectly.
Building a Professional Workflow
Step 1: Pre-production
Before you generate anything, define your visual language:
- Aspect ratio (16:9 for YouTube, 9:16 for Shorts/TikTok)
- Color palette
- Camera style (handheld, steadicam, static)
- Lighting references
Step 2: Asset Generation
Use Domer's AI Image Generator to create reference frames, backgrounds, and character sheets. These serve as your visual anchors.
Step 3: Scene Generation
Generate scenes one at a time. Start with establishing shots, then move to close-ups. This gives you a natural editing rhythm.
Step 4: Assembly
Combine your generated clips in a video editor. Add transitions, music, and sound effects. The AI handles the visual heavy lifting; you focus on pacing and narrative flow.
Advanced Techniques
Multi-Reference Generation
Provide multiple reference images when generating a scene. This helps the model understand character appearance from different angles and lighting conditions.
Prompt Chaining
For complex scenes, break the prompt into layers:
- Base scene description
- Lighting and atmosphere
- Camera movement
- Subject action
- Style references
Quality Control
Not every generation will be perfect. Generate 3-5 variations per scene, pick the best, and use that as reference for subsequent shots.
Common Pitfalls and Solutions
Inconsistent Characters
Solution: Create a detailed character sheet with GPT Image 2 and use it as reference for every generation.
Jerky Motion
Solution: Use models optimized for motion like Seedance 2.0. Avoid prompts that describe extremely fast or complex movement.
Poor Prompt Adherence
Solution: Simplify. The model follows simple, concrete prompts better than abstract, poetic ones. "A person walking down a rainy street at night" works better than "the melancholy of urban solitude."
Conclusion
AI video generation is not the future — it's the present. With tools like Domer, you can go from concept to finished video in hours, not weeks. Start experimenting, develop your workflow, and build your creative pipeline.
