Browse ModelsPruna AIPruna AI P Video Text To Video

Pruna Ai P Video Text To Video

Pruna Ai P Video Text To Video

Playground

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Pruna AI P-Video Text to Video is a fast AI video generation model that creates high-quality videos from text prompts. Ready-to-use REST inference API for cinematic clips, social media videos, advertising creatives, product visuals, motion design, and AI video generation workflows with simple integration, no coldstarts, and affordable pricing.

Features

Pruna AI P-Video Text-to-Video

Pruna AI P-Video Text-to-Video generates videos from natural-language prompts with control over aspect ratio, duration, resolution, audio output, and seed-based reproducibility. It is suitable for cinematic scenes, commercial visuals, social content, concept videos, and other prompt-driven video generation workflows.


Why Choose This?

  • Prompt-based video generation Turn natural-language scene descriptions into motion video clips with controllable style and composition.

  • Flexible format control Choose aspect ratio, duration, and resolution to match different delivery needs.

  • Optional audio saving Enable save_audio when you want the generated output saved with audio.

  • Seed support for reproducibility Use seed to get more consistent outputs across repeated generations.

  • Simple pricing model Cost scales clearly with duration and output resolution.


Parameters

ParameterRequiredDescription
promptYesText description of the desired video scene, motion, and style.
aspect_ratioNoOutput aspect ratio, such as 16:9.
durationNoVideo duration in seconds.
resolutionNoOutput resolution: 720p or 1080p.
save_audioNoWhether to save the generated video with audio.
seedNoRandom seed for reproducibility. Use the same seed to get more consistent results.

How to Use

  1. Write your prompt — describe the subject, environment, motion, camera movement, and overall mood.
  2. Choose aspect ratio — select the format that matches your target platform or composition needs.
  3. Set duration — choose how long the video should be.
  4. Choose resolution — use 720p for lower cost or 1080p for higher quality.
  5. Enable audio saving (optional) — turn on save_audio if you want the saved result to include audio.
  6. Set a seed (optional) — use a fixed seed for more reproducible generations.
  7. Submit — run the model and download the generated video.

Example Prompt

An adult man stands on a vast desert highway under warm sunlight, with distant mountains and dry air haze behind him. Dust moves subtly across the road, his clothes shift gently in the wind, and he looks toward the horizon before turning slightly toward the camera. The camera slowly pulls back to reveal the open landscape. Cinematic commercial travel film, realistic motion, stable identity, warm natural light.


Pricing

Pricing is based on duration and resolution.

ResolutionPer Second
720p$0.02
1080p$0.04

Example Costs

Resolution5s10s15s
720p$0.10$0.20$0.30
1080p$0.20$0.40$0.60

Billing Rules

  • 720p costs $0.02 per second
  • 1080p costs the 720p rate
  • Pricing scales linearly with duration
  • aspect_ratio, save_audio, and seed do not affect pricing

Best Use Cases

  • Cinematic scene generation — Create travel, lifestyle, and atmospheric video clips from prompts.
  • Commercial content — Generate ad-like visuals for products, campaigns, and branded storytelling.
  • Social media video — Produce short-form clips tailored to different aspect ratios and durations.
  • Concept visualization — Turn written ideas into motion previews for pitching and ideation.
  • Creative prototyping — Explore multiple directions quickly with prompt and seed control.
  • Audio-enabled delivery — Save video outputs with audio when needed for downstream use.

Pro Tips

  • Be specific in your prompt about subject, movement, camera behavior, lighting, and mood.
  • Use 720p for rapid testing, then switch to 1080p for higher-quality final outputs.
  • Keep the same seed when you want to iterate on a concept with more consistent results.
  • Shorter durations are useful for fast concept validation before generating longer clips.
  • Match aspect_ratio to the final platform, such as widescreen for cinematic layouts.

Notes

  • prompt is the only required field.
  • Pricing depends on duration and resolution.
  • save_audio controls whether the saved video includes audio, but does not affect pricing.
  • seed helps with reproducibility but may not guarantee identical results in every case.

  • Other Pruna AI video generation and image generation models may be useful when you need different quality, speed, or workflow trade-offs.

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/pruna-ai/p-video/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "16:9",
    "duration": 5,
    "resolution": "720p",
    "save_audio": true,
    "seed": -1
}'

# 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-The positive prompt for generation.
aspect_ratiostringNo16:916:9, 9:16, 4:3, 3:4, 3:2, 2:3, 1:1Aspect ratio of the generated video.
durationintegerNo51 ~ 20Video duration in seconds.
resolutionstringNo720p720p, 1080pOutput video resolution.
save_audiobooleanNotrue-Save the video with audio.
seedintegerNo-1-1 ~ 2147483647Random seed. -1 means random.

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.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

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
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
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