Creating Videos
with Just Words (AI Magic!)

A: Currently, most AI video tools generate 3-18 seconds. Sora (when released) will do up to 60 seconds! Why so short? Because each second requires generating 30 frames, and keeping them consistent is VERY hard. A 10-second video = 300 frames that all need to match perfectly. Even small inconsistencies become obvious when frames play in sequence. As technology improves, we'll see longer videos - but for now, short clips are the norm!

A: Getting there, but not perfect! Humans are the HARDEST thing for AI to generate because we're experts at recognizing other humans. We instantly notice if eyes look wrong, movements are unnatural, or fingers have extra joints. Current AI can do decent faces from a distance and basic body movements, but still struggles with close-up facial expressions, hands and fingers, complex interactions between multiple people, and lip-syncing to speech. Sora showed impressive human generation but even it has issues with details when examined closely!

A: Video AI still has several major limitations: 1) Physics - objects might float weirdly or move unnaturally, 2) Consistency - character appearances might change between frames, 3) Text - can't generate readable text in videos (signs, books, etc.), 4) Complex actions - multi-step activities often look wrong, 5) Fine details - hands, faces, and small objects are unreliable, 6) Length limitations - currently restricted to short clips due to computational complexity. Remember, this technology is brand new (2023-2024) and improving incredibly fast!

A: Related but different! Deepfakes take an EXISTING video and swap someone's face using source footage. Text-to-video AI creates videos from scratch with no source material. Both use similar AI techniques (neural networks), but different processes. Deepfakes are concerning because they can make real people appear to say/do things they didn't. Text-to-video is generally safer because it creates fictional content. Most AI video companies have safeguards to prevent generating videos of real people without permission!

A: Not replace - but it will change how they work! Think of AI as a powerful new tool, like when cameras went from film to digital. Filmmakers will still be needed for creative direction, storytelling, editing, combining AI clips with real footage, and adding the 'human touch' that AI can't replicate. What AI DOES enable: solo creators making content that previously needed big teams, faster prototyping of ideas, cheaper production for small budgets. The future is probably HYBRID - human creativity directing AI tools to create content faster and cheaper than ever before!

A: Varies widely! Free options include: Stable Video Diffusion (run on your own computer if you have good GPU), some free credits from Runway/Pika, limited trials. Paid options: Runway Gen-2 (~$5-20 per video depending on length), Pika Labs (~$1-5 per video), custom enterprise solutions for businesses. Costs are decreasing rapidly as technology improves and competition increases. For casual users, expect to spend $10-50 per month on video generation tools for experimentation and content creation.

A: For running video AI locally: Minimum: RTX 3060 (12GB VRAM), 16GB RAM, decent CPU. Recommended: RTX 3090/4090 (24GB VRAM), 32GB+ RAM, modern CPU. Best: Multiple RTX 4090s for faster generation. Video AI is much more demanding than image generation because it processes many frames simultaneously. Cloud options are often more practical unless you do lots of video generation and can justify the hardware investment.

A: Currently, video generation AI focuses only on visuals - no sound, music, or dialogue. You get silent video clips. However, you can combine AI video with: 1) AI-generated music (Suno, MusicGen), 2) Text-to-speech for narration, 3) AI-generated sound effects. Some tools are starting to experiment with audio generation, but most workflows still involve generating video first, then adding audio separately. Full audio-visual generation is probably coming in the next few years!

A: Several key tips: 1) Be specific in prompts - include motion, lighting, environment, and style, 2) Use simple, clear descriptions - complex prompts often produce weird results, 3) Describe the motion explicitly - include words like 'slowly,' 'flying,' 'spinning,' 4) Set the scene - mention weather, time of day, location details, 5) Keep subjects simple - complex scenes with multiple elements often fail, 6) Iterate - try variations of your prompt to see what works best, 7) Use image-to-video for more control by generating a perfect image first, then animating it.

A: The future looks incredibly exciting! Expect to see: 1) Longer videos (minutes instead of seconds), 2) Better physics and realism, 3) Accurate human generation including facial expressions and lip-sync, 4) Text generation within videos, 5) Audio-visual simultaneous generation, 6) Interactive video creation where you can edit and modify in real-time, 7) Real-time generation for live applications, 8) Integration with traditional video editing software. Within 2-3 years, we'll probably see AI video quality that's indistinguishable from real footage for many applications!