MiniMax H3 Highspeed Image-to-Video generates fast 768P videos from input images with flexible 4-15 second duration, making it suitable for rapid image animation, social content, creative videos, ads, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.06per run·~16 / $1
Use the woman, canvas, and painted man. Preserve the woman’s exact identity, clothing, pose, studio, and the portrait design. She adds one final brushstroke to the red flower. The painted man slowly extends his hand beyond the surface of the canvas, offering the flower toward her. She freezes, then cautiously reaches out. The camera begins with the same clean two-subject composition, gently pushes toward the painting, then shifts sideways so her hand and the painted hand approach each other in the same frame. Romantic magical realism, elegant visual storytelling, restrained motion, cinematic natural light.
The little orange clay submarine glides slowly upward through the colorful coral garden. The friendly blue octopus waves one arm and a few tiny bubbles drift upward. Preserve the handmade clay textures, delightful stop-motion aesthetic and bright colors. Playful marimba music with gentle underwater bubbles.
The small delivery vehicle rolls forward through the rain-soaked neon street, its wheels sending tiny ripples through puddles. Steam drifts from the noodle stall as the camera smoothly follows at street level. Preserve the detailed cinematic city and vibrant cyan, magenta and violet reflections. Rainfall and a distant tram bell.
The emerald hummingbird gently hovers and dips its beak toward the pink flower, wings shimmering in sunlight. A tiny droplet falls from a leaf. Slow subtle camera push-in, preserve the natural garden colors and realistic detail. Soft wing flutter and tropical birds.
The dancer continues a graceful slow turn in the warm sunlit studio. Her amber skirt flows naturally. One continuous shot, gentle piano music and soft footsteps.
MiniMax H3 Highspeed Image-to-Video turns a starting image into a video with prompt-guided motion. Provide a first-frame image, describe the action and camera movement, and optionally add a last-frame image to guide how the video ends.
4 to 15 seconds.768p.| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the desired scene, action, and camera movement. Supports 1–7000 characters. |
| image | Yes | First-frame image used to start the generated video. Each side must be between 256 and 5760 pixels, with a width-to-height ratio between 0.4 and 2.5. |
| last_image | No | Optional target image used to guide the final frame of the generated video. |
| resolution | No | Output resolution: 768p. Default: 768p. |
| duration | No | Video duration in whole seconds from 4 to 15. Default: 5. |
4 to 15 seconds.$0.06 per second of requested video duration.
| Duration | Price |
|---|---|
| 4s | $0.24 |
| 5s | $0.30 |
| 10s | $0.60 |
| 15s | $0.90 |
The first-frame and optional last-frame images do not add separate charges.
last_image when you want more control over the ending frame.prompt and image are required.duration supports whole-second values from 4 to 15 and defaults to 5.768p.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/image-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for H3 Highspeed Image To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "768p",
"duration": 5
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(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' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "768p",
"duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
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",
"resolution": "768p",
"duration": 5
}
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/minimax/h3-highspeed/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 = 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", "deleted"}:
raise RuntimeError(result)
time.sleep(2)H3 Highspeed Image To Video is a MiniMax model for video generation from images, exposed as a REST API on WaveSpeedAI. MiniMax H3 Highspeed Image-to-Video generates fast 768P videos from input images with flexible 4-15 second duration, making it suitable for rapid image animation, social content, creative videos, ads, and production 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 Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-h3-highspeed-image-to-video.
H3 Highspeed Image To Video starts at $0.06 per run or per second. 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`, `last_image`. 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/minimax/minimax-h3-highspeed-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 (MiniMax). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.