xAI Grok Imagine Video v1.5 is a fast AI image-to-video generation model that turns a reference image into a short video guided by a text prompt, with 480p and 720p output options. Ready-to-use REST inference API for animating images, social media clips, creative storytelling, product visuals, marketing videos, concept videos, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.
Idle
$0.09per run·~11 / $1
A cinematic thriller video with clear shot transitions. Shot 1: Wide establishing shot of a dark modern office at night, city lights outside the glass windows, one woman sitting alone at a desk, only a desk lamp illuminating the room. Transition 1 to 2: Slow dolly-in from the wide shot toward the desk. Shot 2: Over-the-shoulder shot of the woman opening a locked drawer and finding a sealed folder inside. Her hand hesitates before touching it. Transition 2 to 3: Cut to an extreme close-up of her fingers breaking the seal on the folder. Shot 3: Close-up of her face as she reads the first page, her expression changing from curiosity to shock. Transition 3 to 4: Rack focus from her shocked face to the dark glass window behind her. Shot 4: A faint shadowy figure appears reflected in the window behind her, while she slowly turns her head. Cinematic suspense, realistic acting, stable face identity, natural motion, no subtitles, no text, no distortion.
xAI Grok Imagine Video V1.5 Image-to-Video generates short videos from a reference image and a natural-language prompt. It is designed for image-driven motion generation, cinematic concept clips, stylized social media content, and other prompt-based video creation workflows.
Image-guided video generation Start from a single reference image and animate it into a short video clip.
Prompt-based motion control Use text instructions to describe motion, camera behavior, atmosphere, and scene evolution.
Simple resolution choices
Choose between 480p and 720p depending on your quality and budget needs.
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 motion, camera movement, and scene. |
| image | Yes | Input image to animate. |
| duration | No | Output video duration in seconds. Range: 1–15. Default: 6. |
| resolution | No | Output video resolution. Supported values: 480p, 720p. Default: 720p. |
480p for lower cost or 720p for higher quality.A cinematic push-in shot as the subject slowly turns toward the camera, soft natural motion, subtle background movement, realistic lighting, polished commercial style
Pricing depends on output duration and resolution.
| Resolution | Price per Second | 5s Example |
|---|---|---|
| 480p | $0.08 | $0.40 |
| 720p | $0.14 | $0.70 |
Each request includes a fixed $0.01 input image charge.
| 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 $0.14 per secondduration480p for quick testing and 720p for better final-quality clips.prompt and image are required.duration supports 1–15 seconds.resolution defaults to 720p.duration, resolution, and the fixed per-image surcharge.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video-v1.5/image-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Grok Imagine Video v1.5 Image To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 6,
"resolution": "720p"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/x-ai/grok-imagine-video-v1.5/image-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/image-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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 6,
"resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 6,
"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/image-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 Image To Video is a xAI model for video generation from images, exposed as a REST API on WaveSpeedAI. xAI Grok Imagine Video v1.5 is a fast AI image-to-video generation model that turns a reference image into a short video guided by a text prompt, with 480p and 720p output options. Ready-to-use REST inference API for animating images, social media clips, creative storytelling, product visuals, marketing videos, concept videos, and professional image-to-video workflows with simple integration, no coldstarts, and 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-image-to-video.
Grok Imagine Video v1.5 Image 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`, `image`, `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-image-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.