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Veo 3

Per anmodning:$0.4
Google DeepMinds Veo 3 repræsenterer det ypperste inden for tekst-til-video-generering og markerer første gang, at en generativ AI-model i stor skala sømløst synkroniserer video i høj kvalitet med ledsagende lyd — herunder dialog, lydeffekter og omgivende lydlandskaber.
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Core Features and Capabilities

  • 8‑Second Video Clips: Generates up to eight‑second sequences with seamless shot transitions and stitching.
  • Integrated Audio Generation: Produces dialogue, ambient noise, sound effects, and background music in a single pass.
  • High‑Definition Output: Supports resolutions up to 4K (3840 × 2160) with consistent lighting, realistic physics, and detailed scene textures.
  • Multi‑Modal Inputs: Accepts both text‑to‑video and image‑to‑video prompts, enabling versatile creative workflows.

These capabilities empower creators to craft near‑cinematic narratives without separate audio post‑production or complex editing pipelines .

Technical Details

Veo 3’s architecture leverages a multimodal transformer trained on millions of YouTube videos. Its encoder–decoder framework processes text prompts through a video tokenization layer, generating spatiotemporal features that drive the visual synthesis module. Simultaneously, an audio synthesis branch produces aligned sound outputs. A cross-modal attention mechanism ensures that visual and audio modalities remain tightly coupled, reducing desynchronization artifacts. Training involved billions of parameter updates, optimized via mixed-precision GPU clusters on Google Cloud’s Vertex AI platform .

Benchmark Performance

In internal benchmarks, Veo 3 demonstrates:

  • PSNR (Peak Signal‑to‑Noise Ratio) of 38 dB on standard video datasets, outperforming Veo 2 by 4 dB.
  • SSIM (Structural Similarity Index) scores of 0.92, indicating high visual fidelity.
  • Audio–Video Sync Error below 15 ms, ensuring imperceptible lag between sound and motion.
  • Inference Speed: ~12 frames per second on an NVIDIA A100 GPU, enabling near real-time generation for short clips.
    These metrics position Veo 3 at the forefront of generative video AI, eclipsing contemporaries like Sora and Meta’s recent video models in both quality and synchronization.
  • How to access Veo 3 API

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

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Step 2: Send Requests to Veo 3 API

Select the “\Veo 3 \” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. base url is Veo3 Async Generation(https://api.cometapi.com/v1/videos).

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

Funktioner til Veo 3

Udforsk de vigtigste funktioner i Veo 3, designet til at forbedre ydeevne og brugervenlighed. Opdag hvordan disse muligheder kan gavne dine projekter og forbedre brugeroplevelsen.

Priser for Veo 3

Udforsk konkurrencedygtige priser for Veo 3, designet til at passe til forskellige budgetter og brugsbehov. Vores fleksible planer sikrer, at du kun betaler for det, du bruger, hvilket gør det nemt at skalere, efterhånden som dine krav vokser. Opdag hvordan Veo 3 kan forbedre dine projekter, mens omkostningerne holdes håndterbare.
Comet-pris (USD / M Tokens)Officiel Pris (USD / M Tokens)Rabat
Per anmodning:$0.4
Per anmodning:$0.5
-20%

Eksempelkode og API til Veo 3

Få adgang til omfattende eksempelkode og API-ressourcer for Veo 3 for at strømline din integrationsproces. Vores detaljerede dokumentation giver trin-for-trin vejledning, der hjælper dig med at udnytte det fulde potentiale af Veo 3 i dine projekter.

Versioner af Veo 3

Årsagen til, at Veo 3 har flere øjebliksbilleder kan omfatte potentielle faktorer såsom variationer i output efter opdateringer, der kræver ældre øjebliksbilleder for konsistens, at give udviklere en overgangsperiode til tilpasning og migration, og at forskellige øjebliksbilleder svarer til globale eller regionale slutpunkter for at optimere brugeroplevelsen. For detaljerede forskelle mellem versioner, henvises der til den officielle dokumentation.
veo3
veo3-framesThe veo3-frames model is specifically optimized for frame sequence generation.The veo3-frames model is specifically optimized for frame sequence generation, and includes a diagram supporting the first and last frames.

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