⚠Sora model is currently unstable due to heavy load. Generation may fail or take longer than expected.
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Generates video with AI audio (audio may be disabled for sensitive content)
Text to Video AI Generator — Gemini Nano Banana
Gemini Nano Banana text to video is an AI video creator that generates HD videos with synchronized audio from text prompts using three video models, each with a different generation architecture. Veo 3.1 by Google DeepMind uses joint latent diffusion across video and audio — at each denoising step, the model processes a unified sequence of visual spacetime patches and temporal audio tokens, producing synchronized dialogue, sound effects, and ambient atmosphere natively at 48kHz stereo. Sora 2 by OpenAI uses a Diffusion Transformer with spacetime patches and a spatiotemporal autoencoder that compresses video into latent representations, enabling variable resolution, duration, and aspect ratio from a single model without cropping artifacts. Kling 2.6 by Kuaishou uses 3D spatiotemporal joint attention with a self-developed 3D VAE network for synchronous spatiotemporal compression — the fastest generation with native English and Chinese voice synthesis.
AI Video Models on Gemini Nano Banana
Three text to video AI models on Gemini Nano Banana. Each uses a different generation architecture — joint audio-video diffusion, spacetime patch transformers, or 3D spatiotemporal attention.
Veo 3.1
Google DeepMind
Cinematic + Native Audio Diffusion
Veo 3.1 uses joint latent diffusion — applying the denoising process simultaneously to video and audio latent spaces. At each step, its attention mechanism operates on a unified token sequence of visual spacetime patches and temporal audio information. This produces synchronized dialogue, sound effects, and ambient atmosphere without separate audio processing. Trained on Gemini-captioned video data for richer scene understanding than web-scraped captions.
- Joint Audio-Video Diffusion
- 48kHz Stereo Audio
- Up to 1080p / 24 FPS
- ~8s Cinematic Clips
Sora 2
OpenAI
Physics + Spacetime Patches
Sora 2 uses a Diffusion Transformer (DiT) architecture that decomposes video into spacetime patches — small regions spanning both spatial dimensions and time. A spatiotemporal autoencoder first compresses video frames into latent representations, reducing computational overhead while preserving motion and texture detail. This enables variable resolution, duration, and aspect ratio from a single model — no cropping or resizing artifacts.
- Spacetime Patch Architecture
- Variable Duration (10-15s)
- Up to 1080p / 30 FPS
- Synchronized Audio
Kling 2.6
Kuaishou
Fastest + Bilingual Voice
Kling 2.6 uses 3D spatiotemporal joint attention — a full-attention mechanism that integrates temporal dynamics across frames with spatial features within each frame simultaneously. Kuaishou's self-developed 3D VAE network achieves synchronous spatiotemporal compression for the fastest generation speed. Native English and Chinese voice synthesis with automatic lip-sync makes it ideal for voice-driven narratives and multilingual content.
- 3D Spatiotemporal Attention
- 3D VAE Compression
- EN/CN Voice Synthesis
- 5-10s Fastest Generation
AI Video Generator from Text on Gemini Nano Banana
Gemini Nano Banana brings three video generation architectures into one text to video platform — latent diffusion, diffusion transformer, and 3D spatiotemporal attention. Veo 3.1 generates cinematic scenes with joint audio-video denoising that produces dialogue and sound effects in a single pass. Sora 2 decomposes video into spacetime patches for physically accurate motion across variable durations up to 15 seconds. Kling 2.6 uses a 3D VAE for synchronous spatiotemporal compression, delivering the fastest generation with native voice synthesis. Describe your scene, choose a model, generate HD video with AI audio.
AI Video Maker Use Cases on Gemini Nano Banana
AI video generation volume grew 840% between 2024 and 2026, making it one of the fastest-growing segments in content creation. Gemini Nano Banana serves these workflows with three models, each built on a different video generation architecture.
Marketing Videos
Generate polished ads from text descriptions
Generate marketing videos from text descriptions on Gemini Nano Banana. Veo 3.1 produces polished commercial aesthetics with native voiceover and ambient audio — no separate audio editing step. Video-first campaigns consistently outperform static content across social and advertising channels, and AI generation reduces production timelines from weeks to minutes.
Social Media Content
Vertical video at scale for every platform
Create vertical video content for TikTok, Instagram Reels, and YouTube Shorts with Gemini Nano Banana text to video AI. Kling 2.6 generates 5-10 second clips at the fastest turnaround for high-volume posting schedules. Short-form video accounts for over 80% of mobile traffic globally, and AI-generated video enables daily posting volumes that would require a full production team otherwise.
Educational Videos
Visualize complex concepts with accurate physics
Visualize STEM concepts and abstract processes with Gemini Nano Banana AI video generator. Sora 2 excels at physically accurate simulations — gravity, fluid dynamics, particle interactions — making complex topics tangible. Its spacetime patch architecture handles variable scene complexity, generating anything from simple diagrams to detailed 3D environments.
Product Demos
Turn descriptions into dynamic demonstrations
Turn product descriptions into dynamic demonstration videos on Gemini Nano Banana. Veo 3.1 generates synchronized product narration with ambient sound, while Sora 2 creates physically accurate product interactions over 10-15 seconds. Enterprise teams report 60-80% reduction in video production costs when using AI-generated product demos compared to traditional studio shoots.
Story Visualization
Transform written narratives into cinematic scenes
Transform written narratives into visual stories with Gemini Nano Banana text to video. Veo 3.1's joint audio-video generation creates complete cinematic scenes with character dialogue, ambient sounds, and background music in a single generation. Sora 2's variable duration (10-15 seconds) allows longer narrative sequences with consistent physics and character motion.
Music & Art Videos
Create visual accompaniments from descriptions
Generate artistic and music video visuals from text on Gemini Nano Banana. Kling 2.6's 3D spatiotemporal attention mechanism produces stylized motion sequences with synchronized audio. The AI video sector is growing at 34.2% CAGR through 2028, with creative video generation emerging as the fastest-expanding use case for independent artists and music producers.
How Text to Video Works on Gemini Nano Banana
Three steps from text prompt to downloadable AI video on Gemini Nano Banana.
Write Your Text Prompt
Describe the video scene in detail — subject, action, camera movement, lighting, and audio cues. Gemini Nano Banana text to video AI understands both natural language and cinematography terminology like dolly shots, rack focus, and aspect ratios.
Choose a Video Model
Select the model that fits your content: Veo 3.1 for cinematic scenes with native audio, Sora 2 for physically accurate motion and longer duration, or Kling 2.6 for fast generation with voice synthesis. Each model uses a different AI architecture optimized for different strengths.
Generate and Download
Generate your video and download in HD. Try the same prompt across Veo, Sora, and Kling to compare outputs — each architecture produces different visual styles, motion physics, and audio interpretations from the same text description.
Text to Video Prompt Examples on Gemini Nano Banana
Effective video prompts describe five elements: scene action, camera movement, lighting, visual style, and audio cues. Each model on Gemini Nano Banana interprets prompts differently — Veo 3.1 excels at audio-rich scenes, Sora 2 at physics-heavy motion, Kling 2.6 at rapid voice-driven content.
Campfire Scene with Dialogue
Veo 3.1 — joint audio-video diffusion generates dialogue and ambient sounds
"Close-up of a person sitting by a campfire at night, face lit by warm flickering flames. They lean forward and speak: 'Let me tell you about the time I got lost in the mountains.' Crackling fire sounds, distant crickets, gentle wind through pine trees. Shallow depth of field, cinematic warm tones, intimate documentary style."
Underwater Nature Documentary
Sora 2 — spacetime patches enable physically accurate fluid dynamics
"Camera glides through a vibrant coral reef at midday, sunlight refracting through clear blue water creating dancing caustic patterns on the sandy floor. A school of tropical fish swims past in formation, their scales catching light. Small air bubbles rise toward the surface. Slow-motion underwater photography style, National Geographic quality."
Street Food Night Market
Kling 2.6 — 3D spatiotemporal attention with bilingual voice narration
"Walking through a bustling Asian night market at dusk, steam rising from food stalls on both sides. Colorful paper lanterns hang overhead. A narrator describes the scene in conversational English. Sizzling wok sounds, chatter of crowds, upbeat ambient music. Handheld camera movement, warm street photography aesthetic, 9:16 vertical format."
City Day-to-Night Timelapse
Any model — temporal dynamics and lighting transitions
"Rooftop view of a modern city skyline transitioning from golden hour to night. Clouds move rapidly across the sky. Traffic lights create streaking trails on the streets below. Building windows gradually illuminate. Cool blue twilight transitions to warm city glow. Smooth hyperlapse, 16:9 cinematic composition, ambient electronic music."
Prompt Tips for Text to Video on Gemini Nano Banana
- • Specify camera movement - Include dolly, pan, zoom, orbit, or tilt — video models trained on film footage respond well to cinematography terminology. Veo 3.1 excels at complex multi-axis camera paths
- • Describe the audio - Add audio cues — dialogue ('a narrator explains...'), music genre ('jazz soundtrack'), ambient sounds ('rain on glass'). Veo 3.1 and Kling 2.6 generate audio from these descriptions natively
- • Match model to duration - Kling 2.6 for 5-10 second quick clips, Veo 3.1 for ~8 second cinematic scenes, Sora 2 for 10-15 second extended sequences — choose based on your content needs
- • Set the visual style - Specify cinematic, documentary, animated, or stop-motion — each model interprets style differently. Sora 2 handles physically accurate documentary styles, Veo 3.1 excels at cinematic aesthetics
Text to Video AI Capabilities on Gemini Nano Banana
Gemini Nano Banana text to video AI leverages three distinct architectures to deliver different generation strengths — from cinematic audio-video diffusion to rapid 3D spatiotemporal synthesis.
Cinematic Quality
Veo 3.1 joint latent diffusion generates 1080p video at 24 FPS with film-grade motion coherence and native audio
Native AI Audio
All three models generate synchronized audio — Veo 3.1 produces 48kHz stereo dialogue and SFX, Kling 2.6 adds bilingual voice synthesis
Flexible Video Length
Kling 2.6 delivers the fastest generation at 5-10 seconds, Sora 2 supports the longest single generation at 10-15 seconds per clip
Commercial Usage
AI videos generated on Gemini Nano Banana can be used for marketing, advertising, social media, product demos, client work, and commercial projects
More AI Tools on Gemini Nano Banana
Text to Video FAQ on Gemini Nano Banana
Frequently asked questions about text to video AI on Gemini Nano Banana.
Start Generating AI Videos on Gemini Nano Banana
Three video generation architectures — cinematic audio-video diffusion, spacetime patch transformers, and 3D spatiotemporal attention — all in one text to video platform. Gemini Nano Banana: write a prompt, pick a model, generate HD video with AI audio.