WaveSpeedAI APIGoogleGoogle Veo3.1 Fast Text To Video

Google Veo3.1 Fast Text To Video

Google Veo3.1 Fast Text To Video

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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.

Features

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

  • Cinematic Realism Produces high-fidelity motion with natural lighting, accurate perspective, and fluid camera transitions.

  • Native Audio Generation Automatically generates synchronized sound—including ambient noise, effects, and light music—perfectly aligned with the visuals.

  • Dialogue & Lip-Sync Enables speaking characters or realistic expressions, ideal for storytelling, marketing, and short-form content.

  • 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

  1. 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.”

  2. Adjust Settings Select the video duration and resolution (up to 1080p).

  3. Generate the Video Submit your prompt — Veo 3.1 T2V automatically creates motion, lighting, and audio.

  4. 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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/google/veo3.1-fast/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "16:9",
    "duration": 8,
    "resolution": "1080p",
    "generate_audio": true
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text prompt for generation; Positive text prompt.
aspect_ratiostringNo16:916:9, 9:16Aspect ratio of the video.
durationintegerNo88, 4, 6The duration of the generated media in seconds.
resolutionstringNo1080p720p, 1080pVideo resolution.
generate_audiobooleanNotrue-Whether to generate audio.
negative_promptstringNo-Negative prompt for the generation.
seedintegerNo--1 ~ 2147483647The random seed to use for the generation.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

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