Veo 3.1 Fast
fal-ai/veo3.1/fast/image-to-videoveo3.1-fast-image-to-video- 🎬 Google DeepMind's fast image-to-video model in the Veo 3.1 family.
- 🖼️ Animates a single still or start-and-end frame pair.
- 🔊 Generates natively synchronized audio, ambient sound, and dialogue.
- 🔧 Supports scene extension and narrative continuation of clips.
- 🎯 Emphasizes realism, physics, lighting, and prompt adherence.
- 🏢 Available via Google Cloud's Vertex AI alongside the quality tier.
- ⚡ Fast tier sits beside a higher-fidelity full-quality variant.
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Explore 28 more models by Google →Veo 3.1 Fast is the speed-optimized image-to-video member of Google DeepMind's Veo 3.1 generation, turning a still image (or a paired start-and-end frame) into a high-fidelity motion sequence with natural movement, realistic lighting, and synchronized contextual audio. The "Fast" tier sits alongside the Veo 3.1 Full Quality variant, which targets final production fidelity. A companion text-to-video version, Veo 3.1 Fast, shares the same generation but starts from prompts rather than images.
Compared with its same-family predecessor Veo 3 Fast, the 3.1 line builds on Veo 3's real-world physics and native audio while adding finer creative control. Google DeepMind describes Veo 3.1 as bringing richer native audio, stronger narrative control, and improved realism across its generation features.
Practical additions in the 3.1 generation include start-and-end frame anchoring for precise transitions and a scene-extension capability that continues an existing clip by analyzing its motion, style, and context. These extend-and-stitch workflows make it suited to longer, multi-shot narrative sequences rather than only single hero shots.
Outputs include synchronized sound effects, ambient noise, and dialogue generated alongside the visuals. The model is available through Google Cloud's Vertex AI, where the fast and quality tiers are offered side by side.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Veo 3.1 Fast · Organic sellers
| Seller | Health | Rep↓ | Sales | Video | Routing | $ / s | $ / video |
|---|---|---|---|---|---|---|---|
| Open Forge 0x1d90…b0aa | — | 91.11 | $34.80 | 3.9 min | #1 | $0.15 | — |
| Venice.ai Proxy 0x1f22…18c9 | healthy | 86.84 | $14.95 | 3 min | #2 | $0.0605 | — |
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | $1.19 | 16 s | #3 | $0.0743 | — |
| OpenCheap 0x0ee1…6c41 | — | 12.43 | — | — | gated | $0.1425 | — |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.