Google Veo 3.1 Fast creates text-to-video with native 1080p and synchronized audio, delivering high-quality videos for creators. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Bezczynny
$1.2za uruchomienie
PrzykładyZobacz wszystkie
A fluffy cat sits on a desk beside a glowing monitor, looking directly at the camera. "Meow… Wait. Did Veo 3.1 just make me talk?! Thanks, WaveSpeedAI, I sound adorable!" Whimsical tone, ambient room light, playful background music.
An intense “Iron Man” battle sequence at dusk over a futuristic coastal city. The camera starts on a wide aerial of the skyline, then whips to a dynamic tracking shot as Iron Man rockets past, afterburners flaring, contrails curling. He barrel-rolls between glass towers, micro-missiles bloom and target lock HUD elements flicker on the visor. Enemy drones swarm; Iron Man brakes mid-air, deploys repulsor shields, then punches through a drone, debris scattering in glowing arcs. Cinematic lighting with warm sunset rim light + cool blue city bounce. Motion is fast but readable, no jelly artifacts. Smoke, sparks, and heat shimmer read clearly. Final beat: hero hover facing camera, palms glowing, city behind in bokeh. Camera & Style: whip-pan, parallax, 35–70mm range, subtle handheld energy; crisp, high-contrast, filmic grade. Audio cues: roaring jet, metal whine, repulsor blast thump, distant city ambiance. Negatives: no rubbery armor, no extra limbs, no warped buildings, avoid excessive bloom.
A superhero lands dramatically on a rooftop at sunset, facing a hovering drone camera. “Breaking news: Veo 3.1 is out—cinematic videos, real voices, pure power!” Thunder rumble, cape flutters, camera pans upward to skyline.
An astronaut floating inside a space station records a log entry. "Mission update: Veo 3.1 is now live on WaveSpeedAI. Video and sound—both flawless." Background: soft radio static, floating tools, Earth visible outside the window.
A film director in a black turtleneck yells to camera with cinematic flair. "Cut! Perfect! And guess what—no actors, no camera. Just Veo 3.1 on WaveSpeedAI!" Camera pans across virtual studio lights, clapboard sound effect.
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README
Google Veo 3.1 — Text to Video (T2V) Fast
Veo 3.1 T2V Fast is the high-speed, cost-optimized version of Google DeepMind's Veo 3.1 text-to-video model. It converts text prompts into cinematic 1080p videos with natural motion, realistic lighting, and synchronized native audio — all generated up to 30 % faster than the standard model. Perfect for creators who need rapid, high-quality video generation for storytelling, marketing, and short-form content production.
🎬 Why it stands out
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Cinematic Realism Produces high-fidelity motion with natural lighting, accurate perspective, and fluid camera transitions.
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Native Audio Generation Automatically generates synchronized sound—including ambient noise, effects, and light music—perfectly aligned with the visuals.
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Dialogue & Lip-Sync Enables speaking characters or realistic expressions, ideal for storytelling, marketing, and short-form content.
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Consistent Subject & Style Retains the identity,tone of your input prompt throughout the motion sequence.
💰 Pricing
Every run needs $1.2 (both 720p and 1080p)
Without audio needs $0.8
✅ Commercial use allowed
🚀 How to Use
- Write a Prompt Describe the desired motion, mood, and camera movement.
Example: “Slow cinematic zoom out as wind moves through the trees and sunlight flickers across the leaves.”
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Adjust Settings Select the video duration and resolution (up to 1080p).
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Generate the Video Submit your prompt — Veo 3.1 T2V automatically creates motion, lighting, and audio.
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Preview & Download Review the result, refine the prompt if needed, and download the final MP4.
💡 Pro Tips
- Keep prompts focused on a single subject or action for best stability.
- Add camera directions like “tracking shot,” “slow pan,” or “handheld style” to control movement.
- Specify lighting and mood (e.g., bright daylight, soft sunset glow).
- Avoid conflicting motion requests to maintain smooth results.
📝 Notes
- Actual processing time depends on queue load and resolution.
- Optimized for cinematic shorts, ads, and social media clips.
- Please ensure your prompts comply with Google's Safety Guidelines — if an error occurs, revise your prompt and try again.
Veo3.1 Fast Text To Video API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/veo3.1-fast/text-to-video with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Veo3.1 Fast Text To Video below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/veo3.1-fast/text-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "1080p",
"generate_audio": true,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("google/veo3.1-fast/text-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "1080p",
"generate_audio": true,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"google/veo3.1-fast/text-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "1080p",
"generate_audio": true,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
}
)
print(output["outputs"][0]) # → URL of the generated outputVeo3.1 Fast Text To Video API — Frequently asked questions
What is the Veo3.1 Fast Text To Video API?
Veo3.1 Fast Text To Video is a Google model for video generation, exposed as a REST API on WaveSpeedAI. Google Veo 3.1 Fast creates text-to-video with native 1080p and synchronized audio, delivering high-quality videos for creators. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Veo3.1 Fast Text To Video API?
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/google/google-veo3.1-fast-text-to-video.
How much does Veo3.1 Fast Text To Video cost per run?
Veo3.1 Fast Text To Video starts at $1.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
What inputs does Veo3.1 Fast Text To Video accept?
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `seed`, `negative_prompt`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/google/google-veo3.1-fast-text-to-video.
How long does Veo3.1 Fast Text To Video take to generate?
Average end-to-end generation time on WaveSpeedAI is around 132 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Veo3.1 Fast Text To Video outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (Google). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.