xAI Grok Imagine Video v1.5 Reference to Video turns up to seven reference images and a natural-language prompt into short, stylized AI videos, with 480P / 720P output options and selectable aspect ratios for identity-consistent clips, character-driven videos, social media content, creative storytelling, and marketing workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
निष्क्रिय
$0.09प्रति रन·~11 / $1
The magician throws glowing cards into the air, the cards transform into holographic birds flying around the street. People stop and watch in surprise. The camera circles around him while neon lights flicker and rain falls slowly, cinematic cyberpunk movie scene.
xAI Grok Imagine Video V1.5 Reference-to-Video generates short videos from up to seven reference images and a natural-language prompt. It is designed for identity- and style-consistent motion generation, character-driven clips, stylized social media content, and other reference-guided video workflows.
Reference-guided video generation Provide 1-7 reference images to guide the subject, identity, and style of the generated video.
Prompt-based motion control Use text to describe motion, camera behavior, atmosphere, and how the scene evolves.
Consistent subjects and style Keep a character, look, or aesthetic coherent across the clip by supplying multiple references.
Flexible output settings
Choose 480p or 720p, pick an aspect ratio, and set the clip length.
Production-ready API Suitable for character content, concept visualization, ads, and stylized motion storytelling.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired motion, camera movement, and scene. |
| reference_images | Yes | 1-7 reference image URLs that guide the subject and style of the video. |
| 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. Default: 720p. |
9:16 for vertical, 16:9 for landscape).480p for lower cost or 720p for higher quality.Pricing depends on output duration, resolution, and the number of reference images.
| Resolution | Price per Second | 5s Example (1 image) |
|---|---|---|
| 480p | $0.08 | $0.41 |
| 720p | $0.14 | $0.71 |
Each reference image adds $0.01.
| Resolution | 1s | 5s | 10s | 15s |
|---|---|---|---|---|
| 480p | $0.09 | $0.41 | $0.81 | $1.21 |
| 720p | $0.15 | $0.71 | $1.41 | $2.11 |
480p costs $0.08 per second720p costs $0.14 per seconddurationaspect_ratio to where the clip will be published.480p for quick testing and 720p for better final-quality clips.prompt and reference_images are required.reference_images supports 1-7 images.duration supports 1-15 seconds.resolution defaults to 720p; aspect_ratio defaults to 16:9.duration, resolution, and the number of reference images.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video-v1.5/reference-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Grok Imagine Video v1.5 Reference To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"reference_images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"duration": 6,
"aspect_ratio": "16:9",
"resolution": "720p"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video-v1.5/reference-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/reference-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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"reference_images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"duration": 6,
"aspect_ratio": "16:9",
"resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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",
"reference_images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"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/reference-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 Reference To Video is a xAI model for video generation from images, exposed as a REST API on WaveSpeedAI. xAI Grok Imagine Video v1.5 Reference to Video turns up to seven reference images and a natural-language prompt into short, stylized AI videos, with 480P / 720P output options and selectable aspect ratios for identity-consistent clips, character-driven videos, social media content, creative storytelling, and marketing 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-reference-to-video.
Grok Imagine Video v1.5 Reference To Video starts at $0.090 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`, `reference_images`. 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-reference-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.