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xAI Grok Imagine Video v1.5 Text to Video

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xAI Grok Imagine Video v1.5 Text to Video turns natural-language prompts into short, stylized AI videos, with 480P, 720P, and 1080P output options plus selectable aspect ratios for social media clips, creative storytelling, concept videos, marketing content, and professional text-to-video workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-video
Input

Inattivo

$0.08per esecuzione·~12 / $1

Successivo:

EsempiVedi tutto

An old maintenance robot and a teenage girl travel through a deserted industrial city searching for a legendary place where snow still falls. After climbing a massive abandoned tower, they reach the rooftop just before sunrise. The robot’s damaged battery begins to fail, but the first snowflakes in decades slowly descend around them. The girl catches one in her hand and shows it to the robot as its eyes glow softly one final time. Emotional science-fiction drama, quiet storytelling, expressive character animation, soft snowfall, wide cinematic compositions, delicate piano atmosphere, cold blue light gradually turning golden, realistic weather and textures.

Modelli correlati

README

xAI Grok Imagine Video V1.5 Text-to-Video

xAI Grok Imagine Video V1.5 Text-to-Video generates short videos directly from a natural-language prompt. It is designed for prompt-driven motion generation, cinematic concept clips, stylized social media content, and other text-to-video creation workflows.

Why Choose This?

  • Prompt-only video generation Describe the scene, motion, and camera behavior in words and get a short video back — no input image required.

  • Fine motion and camera control Use text to direct subject motion, camera moves, atmosphere, and how the scene evolves over time.

  • Flexible output settings Choose 480p, 720p, or 1080p, pick an aspect ratio, and set the clip length.

  • Predictable short-form generation Works well for short clips that need quick iteration and clean prompt-to-video control.

  • Production-ready API Suitable for concept visualization, creator content, ads, and lightweight motion storytelling.

Parameters

ParameterRequiredDescription
promptYesText description of the desired video, motion, and scene.
durationNoOutput video duration in seconds. Range: 1-15. Default: 6.
aspect_ratioNoAspect ratio of the output video. Supported: 16:9, 1:1, 9:16, 3:2, 2:3. Default: 16:9.
resolutionNoOutput video resolution. Supported: 480p, 720p, 1080p. Default: 720p.

How to Use

  1. Write your prompt — describe the scene, subject motion, and camera behavior you want.
  2. Set duration (optional) — choose how long the video should be.
  3. Choose aspect ratio — match the target platform (e.g. 9:16 for vertical, 16:9 for landscape).
  4. Choose resolution — use 480p for lower cost, 720p for balance, or 1080p for maximum quality.
  5. Submit — run the model and download the generated video.

Pricing

Pricing depends on output duration and resolution. There is no per-image charge.

ResolutionPrice per Second5s Example
480p$0.08$0.40
720p$0.14$0.70
1080p$0.25$1.25

Example Costs

Resolution1s5s10s15s
480p$0.08$0.40$0.80$1.20
720p$0.14$0.70$1.40$2.10
1080p$0.25$1.25$2.50$3.75

Billing Rules

  • 480p costs $0.08 per second
  • 720p costs $0.14 per second
  • 1080p costs $0.25 per second
  • Pricing scales linearly with duration
  • Billed duration is rounded up to the next whole second
  • Minimum billed duration is 1 second
  • Maximum billed duration is 15 seconds

Best Use Cases

  • Text-to-video generation — Turn a written idea into a short motion clip.
  • Social media content — Create lightweight animated visuals for posts and promos.
  • Concept visualization — Explore motion and mood directions from a description alone.
  • Advertising mockups — Produce quick animated concepts for campaigns.
  • Creative prototyping — Rapidly test prompt-driven motion ideas.

Pro Tips

  • Be specific about camera movement, subject motion, pacing, and atmosphere.
  • Match aspect_ratio to where the clip will be published.
  • Start with shorter durations for fast iteration, then scale up.
  • Use 480p for quick testing and 720p/1080p for final-quality clips.
  • Describe how the scene changes over time rather than only its static appearance.

Notes

  • prompt is required.
  • duration supports 1-15 seconds.
  • resolution defaults to 720p; aspect_ratio defaults to 16:9.
  • Pricing depends on duration and resolution, with no per-image surcharge.

Related Models

Nota:Questo sito web utilizza modelli di intelligenza artificiale forniti da terze parti.

Grok Imagine Video v1.5 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-v1.5/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 v1.5 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-v1.5/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-v1.5/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-v1.5/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 v1.5 Text To Video API — Frequently asked questions

What is the Grok Imagine Video v1.5 Text To Video API?

Grok Imagine Video v1.5 Text To Video is a xAI model for video generation, exposed as a REST API on WaveSpeedAI. xAI Grok Imagine Video v1.5 Text to Video turns natural-language prompts into short, stylized AI videos, with 480P, 720P, and 1080P output options plus selectable aspect ratios for social media clips, creative storytelling, concept videos, marketing content, and professional text-to-video workflows. 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 v1.5 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-v1.5-text-to-video.

How much does Grok Imagine Video v1.5 Text To Video cost per run?

Grok Imagine Video v1.5 Text To Video starts at $0.080 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 v1.5 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-v1.5-text-to-video.

How do I get started with the Grok Imagine Video v1.5 Text To Video API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Grok Imagine Video v1.5 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.

xAI Grok Imagine Video v1.5 Text to Video | WaveSpeedAI