Google Veo
by Google (DeepMind / Google Research)
Text-, image- and video-to-video generation system focused on high-quality, cinematic video generation
See https://ai.google/research/veo and Google Cloud/Vertex AI docs
Summary
Google Veo is a family of generative video models from Google Research/DeepMind aimed at producing high-fidelity, coherent video from text, images, or existing video clips. Veo emphasizes cinematic control (camera, lighting, framing), longer durations, and integration into Google’s product ecosystem (Vertex AI and experimental consumer tools).
Features
- Text-to-video, image-to-video, and video extension (video-to-video) generation
- Cinematic controls: shot types, camera moves, lighting, style prompts
- Can accept images as anchor frames (first/last or mid-frame)
- Iterative project workflow (versioning, prompt refinement)
- Enterprise access via Vertex AI; limited/experimental consumer UIs (e.g., VideoFX or Google Labs)
- Safety features including SynthID-style provenance/watermarking and content moderation workflows
Superpowers
Veo is for creators and enterprises who need high-quality, controllable video generation with cinematic vocabulary. It’s especially useful for storyboarding, rapid prototyping of cinematic concepts, social/video marketing, and enterprise integrations that require API/Vertex AI access. Gains: precise cinematic controls, integration with cloud workflows, and provenance/watermarking for trust and safety.
Pricing
- Not publicly disclosed for all consumer features; enterprise access typically via Google Cloud / Vertex AI pricing (usage-based). Check Google Cloud for current Vertex AI model pricing and quotas.
Known limitations & safety
- Availability and capabilities vary by region and channel (preview vs enterprise).
- Google applies provenance markers and moderation for sensitive generation (e.g., realistic humans, minors).
- Model and product capabilities evolve rapidly — confirm current limits for clip length/resolution in the Google Cloud docs.
Sources / notes:
- Google research/DeepMind Veo announcements and Vertex AI docs (summarized from multiple sources).
- Safety mentions (SynthID / provenance), video quality and cinematic controls from official demos and docs.