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.
Ожидание
$0.05за запуск·~20 / $1
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.
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.
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.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired video. Minimum length: 1 character. |
| duration | No | Video duration in seconds. Supported values: 6 or 10. |
| aspect_ratio | No | Aspect ratio of the generated video. Supported values: 16:9, 1:1, or 9:16. Default: 16:9. |
| resolution | No | Resolution of the output video. Supported values: 720p or 480p. |
6 or 10 seconds.16:9 for landscape, 9:16 for vertical content, or 1:1 for square video.720p for higher-quality output or 480p for lower-resolution output.Pricing is $0.05 per second of generated video.
| Duration | Price |
|---|---|
| 6s | $0.30 |
| 10s | $0.50 |
16:9 for widescreen videos, 9:16 for mobile-first content, and 1:1 for square layouts.6s for quick testing and 10s when the scene needs more time to develop.720p for higher-quality output and 480p when lower resolution is acceptable.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Grok Imagine Video Text To Video below.
set -euo pipefail
: "${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
doneconst 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));
}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 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.
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.
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.
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.
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.
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.