VEO3

veo-3-fast — Text to Video AI Model

veo-3-fast, Google's accelerated variant of the Veo 3.1 text-to-video model, delivers rapid generation of realistic 8-second videos up to 1080p with natively synchronized audio, perfect for developers and creators needing Google text-to-video speed without sacrificing quality. This text-to-video AI model prioritizes blazing-fast inference for dynamic workflows, producing smooth motion, cinematographic camera controls, and immersive soundscapes like ambient noise or lip-synced dialogue in seconds. Ideal for text-to-video AI model applications in social media, e-commerce, and prototyping, veo-3-fast supports text prompts, image-to-video, and first-last frame generation to streamline production.

What Sets veo-3-fast Apart

veo-3-fast stands out in the text-to-video AI landscape with its focus on speed and efficiency, generating 720p or 1080p videos at 24 fps in about 8 seconds—far quicker than standard Veo 3.1 modes, at a fraction of the cost like $0.15 per second. This enables real-time previews and scalable automation that competitors can't match without quality trade-offs.

• Native synchronized audio: Produces realistic sound effects, ambient noise, and lip-synced speech directly from prompts, creating immersive clips ready for social platforms. This lets users skip post-production audio syncing for faster workflows.
• Multi-input flexibility: Handles text-to-video, image-to-video with one reference image, or first-last frame interpolation for precise motion control. Developers gain controlled transitions ideal for UI effects or product demos.
• Portrait and landscape support: Outputs in 9:16 vertical for TikTok/Reels or 16:9 landscape, with 720p/1080p resolutions optimized for mobile-first content. This ensures full-screen, crop-free videos tailored to platform specs.

Processing times are tuned for low latency, making veo-3-fast the go-to for veo-3-fast API integrations in high-volume environments.

• Fast mode prioritizes speed and cost efficiency over maximum quality, making it ideal for rapid prototyping and social media content
• Prompt complexity directly affects generation time and frame rate output, with simpler prompts producing faster results
• The model performs best with clear, descriptive prompts that specify desired visual elements, motion, and scene context
• Character consistency is maintained throughout longer clips, but complex character interactions may require more detailed prompting
• Physics simulation accuracy depends on prompt specificity regarding object interactions and environmental conditions
• Audio synchronization works optimally when dialogue or sound requirements are clearly specified in the prompt
• Resolution selection impacts both quality and processing time, with 1080p requiring more computational resources than 720p
• Vertical format generation is optimized for mobile-first content but may have different quality characteristics than landscape format

How to Use veo-3-fast on Eachlabs

Access veo-3-fast seamlessly on Eachlabs via the Playground for instant testing, API for production apps, or SDK for custom integrations—provide a text prompt, optional image/reference frames, aspect ratio (9:16 or 16:9), and duration up to 8 seconds. Outputs deliver 720p/1080p MP4 videos with native audio, ready for deployment in seconds.

• Generates high-quality videos up to 60 seconds in length with consistent narrative flow and character appearance
• Produces realistic physics simulation with natural object movement, liquid dynamics, and gravitational effects
• Creates synchronized audio including sound effects, ambient noise, and dialogue with accurate lip-sync
• Supports multi-modal input combining text descriptions with reference images and storyboard sketches
• Maintains long-range scene coherence across extended video clips with consistent lighting and character continuity
• Handles complex prompt interpretation with high adherence to detailed instructions and creative specifications
• Generates content in multiple aspect ratios optimized for different platforms and viewing contexts
• Provides visual scene adjustment capabilities allowing object addition, removal, and motion customization
• Delivers cinematic-quality output with professional-level textures, lighting effects, and motion blur
• Processes prompts rapidly while maintaining visual fidelity suitable for professional applications

Use Cases for veo-3-fast

Content creators for social media: Generate vertical 9:16 videos with synced audio for YouTube Shorts or Instagram Reels, like prompting "A barista pours steaming espresso into a white cup with cafe chatter and soft jazz in the background, slow-motion close-up." This rapid output supports daily posting without editing suites.

Marketers in e-commerce: Use image-to-video to animate product photos into dynamic demos, transforming a static headphone image into an 8-second reveal with side-light sweeps and ambient studio hum. Teams save on shoots while producing platform-ready clips at scale.

Developers building AI video apps: Integrate the veo-3-fast API for first-last frame generation in interactive tools, specifying start/end frames for smooth transitions in apps needing quick prototypes. This powers responsive UIs with consistent motion paths.

Designers prototyping visuals: Create cinematic previews from text prompts with precise camera cues, extending clips frame-by-frame for iterative storytelling. Professionals accelerate feedback loops with high-fidelity 1080p results.

• Fast mode trades some visual quality and detail for significantly reduced generation time and cost
• Frame rate output varies between 24-30 fps depending on prompt complexity and scene dynamics
• Audio generation quality may vary based on prompt specificity and scene complexity
• Character lip-sync accuracy depends on clear dialogue specifications in the input prompt
• Physics simulation accuracy is generally high but may occasionally produce unrealistic results in complex scenarios
• Generation consistency can vary between runs, particularly for highly complex or abstract prompts
• The model excels at realistic scene generation but may struggle with highly stylized or abstract artistic requests
• Processing time increases with video length, resolution, and scene complexity
• User feedback indicates strong performance in cinematic realism and natural motion generation
• Community discussions highlight excellent prompt adherence compared to other video generation models
• Users report positive experiences with the integrated audio capabilities reducing post-production workflow needs
• Some users note occasional inconsistencies in lighting continuity across longer video sequences

• Fast mode provides reduced visual quality and detail compared to the standard Veo 3 model, making it less suitable for high-end professional productions requiring maximum fidelity
• Maximum video length is limited to 60 seconds, which may not be sufficient for longer-form content creation or comprehensive storytelling applications
• While the model handles most realistic scenarios well, it may struggle with highly abstract, surreal, or non-photorealistic artistic styles that deviate significantly from natural physics and visual conventions