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.
Boşta
$0.08çalıştırma başına·~12 / $1
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.
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.
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.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired video, motion, and scene. |
| duration | No | Output video duration in seconds. Range: 1-15. Default: 6. |
| aspect_ratio | No | Aspect ratio of the output video. Supported: 16:9, 1:1, 9:16, 3:2, 2:3. Default: 16:9. |
| resolution | No | Output video resolution. Supported: 480p, 720p, 1080p. Default: 720p. |
9:16 for vertical, 16:9 for landscape).480p for lower cost, 720p for balance, or 1080p for maximum quality.Pricing depends on output duration and resolution. There is no per-image charge.
| Resolution | Price per Second | 5s Example |
|---|---|---|
| 480p | $0.08 | $0.40 |
| 720p | $0.14 | $0.70 |
| 1080p | $0.25 | $1.25 |
| Resolution | 1s | 5s | 10s | 15s |
|---|---|---|---|---|
| 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 |
480p costs $0.08 per second720p costs $0.14 per second1080p costs $0.25 per seconddurationaspect_ratio to where the clip will be published.480p for quick testing and 720p/1080p for final-quality clips.prompt is required.duration supports 1-15 seconds.resolution defaults to 720p; aspect_ratio defaults to 16:9.duration and resolution, with no per-image surcharge.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video-v1.5/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Grok Imagine Video v1.5 Text To Video below.
set -euo pipefail
: "${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
doneconst 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));
}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 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.
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.
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.
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.
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.
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.