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Grok Imagine Video Text to Video

x-ai /

X-AI Grok Imagine Video generates videos from text descriptions using xAI's Grok Imagine Video model. Create high-quality videos with customizable duration, aspect ratio, and resolution. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-video
Input

Siap

$0.05per run·~20 / $1

Selanjutnya:

ContohLihat semua

Handheld camera footage, news report style. A reporter standing in Times Square during a heavy snowstorm. People in the background are rushing by with umbrellas. The camera shakes slightly as the wind blows snow into the lens. Raw footage aesthetic, high noise, realistic skin texture, muted colors.

Cinematic wide shot. A busy hipster coffee shop located on the surface of Mars. Through the large glass windows, we see the red dusty landscape and Earth in the sky. Inside, a robot barista is arguing with an alien customer about the foam on a cappuccino. Hyper-realistic textures, humorous atmosphere, Wes Anderson color palette.

Model Terkait

README

Grok Imagine Video Text-to-Video

Grok Imagine Video Text-to-Video generates videos directly from text prompts. Describe the scene, subject, motion, camera behavior, and atmosphere, then choose duration, aspect ratio, and resolution to create a short video output.

Why Choose This?

  • Text-driven video generation
    Create videos from natural-language descriptions without providing an input image or video.

  • Short video duration options
    Generate 6s or 10s videos for quick creative iteration and short-form content.

  • Multiple aspect ratios
    Supports 16:9, 1:1, and 9:16 for landscape, square, and vertical video formats.

  • Resolution options
    Choose 720p for higher-quality output or 480p for lower-resolution output.

  • Simple generation workflow
    Provide a prompt, select output settings, and generate the final video.

Parameters

ParameterRequiredDescription
promptYesText description of the desired video. Minimum length: 1 character.
durationNoVideo duration in seconds. Supported values: 6 or 10.
aspect_ratioNoAspect ratio of the generated video. Supported values: 16:9, 1:1, or 9:16. Default: 16:9.
resolutionNoResolution of the output video. Supported values: 720p or 480p.

How to Use

  1. Write your prompt — Describe the scene, subject, motion, camera movement, lighting, and atmosphere.
  2. Set duration — Choose 6 or 10 seconds.
  3. Select aspect ratio — Use 16:9 for landscape, 9:16 for vertical content, or 1:1 for square video.
  4. Select resolution — Use 720p for higher-quality output or 480p for lower-resolution output.
  5. Run — Submit the request and retrieve the generated video.

Pricing

Pricing is $0.05 per second of generated video.

DurationPrice
6s$0.30
10s$0.50

Best Use Cases

  • Social media videos — Generate short-form videos for vertical, square, or landscape formats.
  • Concept visualization — Turn written ideas into quick motion previews.
  • Marketing and ads — Create short promotional clips from text descriptions.
  • Storytelling — Generate narrative video scenes from detailed prompts.
  • Creative prototyping — Test video concepts before production.

Pro Tips

  • Be specific about subject, action, camera movement, lighting, and atmosphere.
  • Use 16:9 for widescreen videos, 9:16 for mobile-first content, and 1:1 for square layouts.
  • Use 6s for quick testing and 10s when the scene needs more time to develop.
  • Choose 720p for higher-quality output and 480p when lower resolution is acceptable.
  • Include motion details and timing cues for more controlled video generation.

Related Models

Catatan:Situs web ini menggunakan model AI yang disediakan oleh pihak ketiga.

Grok Imagine Video Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Grok Imagine Video Text To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 6,
    "aspect_ratio": "16:9",
    "resolution": "720p"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video/text-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video/text-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "duration": 6,
        "aspect_ratio": "16:9",
        "resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 6,
    "aspect_ratio": "16:9",
    "resolution": "720p"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video/text-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Grok Imagine Video Text To Video API — Frequently asked questions

What is the Grok Imagine Video Text To Video API?

Grok Imagine Video Text To Video is a xAI model for video generation, exposed as a REST API on WaveSpeedAI. X-AI Grok Imagine Video generates videos from text descriptions using xAI's Grok Imagine Video model. Create high-quality videos with customizable duration, aspect ratio, and resolution. 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 Grok Imagine Video 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/x-ai/x-ai-grok-imagine-video-text-to-video.

How much does Grok Imagine Video Text To Video cost per run?

Grok Imagine Video Text To Video starts at $0.050 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 Grok Imagine Video Text To Video accept?

Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`. 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/x-ai/x-ai-grok-imagine-video-text-to-video.

How long does Grok Imagine Video Text To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 95 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Grok Imagine Video Text To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (xAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Grok Imagine Video Text to Video | Powerful Text-to-Video API | WaveSpeedAI