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MiniMax H3 Lite Text-to-Video API

minimax/h3-lite/text-to-video

MiniMax H3 Lite Text-to-Video generates 480P / 768P videos from text prompts with flexible 4-15 second duration, making it suitable for creative videos, social content, ads, marketing, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Text to Video
Input

Idle

$0.04per run·~25 / $1

Next:

ExamplesView all

A young man walks past a huge digital billboard in a busy futuristic plaza. The advertisement suddenly stops and displays a live close-up of his face with the words “WELCOME BACK.” He stops, confused, while pedestrians continue moving normally around him. The camera tracks beside him, then tilts slightly upward toward the billboard. Grounded sci-fi mystery, clear visual hook, cinematic city scale.

Whimsical high-quality 3D animated miniature world: a lush floating island with a tiny pastel village, cascading waterfalls and flowering trees, surrounded by fluffy pink clouds at golden sunset. Three brightly colored hot-air balloons drift slowly past as the camera gently orbits the island. Charming toy-like detail, rich coral, teal and gold palette, warm cinematic light. Soft wind, distant birds and a cheerful orchestral melody.

Premium colorful macro food commercial, one continuous shot: sparkling orange soda pours into a clear glass filled with ice, fresh blood-orange slices and mint on a bright cobalt-blue studio background. Fizzy bubbles rise, condensation beads catch the light and a small splash forms in slow motion. Saturated orange and blue contrast, realistic glass and fresh ingredients. Crisp pouring, fizzing and ice-clink sounds.

Vibrant layered paper-cut animation: a little red fox with a white-tipped tail explores a magical autumn forest made from textured colored paper. Golden leaves swirl, turquoise mushrooms glow and tiny orange birds flutter between burgundy trees. The camera gently follows the fox along a winding path. Warm storybook lighting, playful handcrafted depth, continuous scene. Crisp paper rustles and gentle woodwind music.

A tiny ceramic fox on a wooden desk beside a sunlit window. One continuous slow camera push-in as dust drifts through warm light. Gentle piano notes and quiet room ambience.

A young chef stands at a clean kitchen counter and slices open a large unusual purple fruit. Inside is a tiny moving thunderstorm with dark clouds and miniature lightning. He quickly lifts the knife away as one tiny raindrop lands on the cutting board. The camera begins close on his hands, then pulls slightly wider to capture his stunned expression. Whimsical fantasy realism, detailed food textures, cinematic kitchen lighting.

Related Models

README

MiniMax H3 Lite Text-to-Video

MiniMax H3 Lite Text-to-Video generates videos directly from text prompts. Describe the scene, action, camera movement, and visual style, then choose a duration from 4 to 15 seconds, a resolution, and a supported aspect ratio.

Why Choose This?

  • Text-to-video generation — Create videos directly from natural-language prompts.
  • Flexible duration — Generate clips from 4 to 15 seconds.
  • 480p and 768p output — Choose the resolution that fits your workflow.
  • Multiple aspect ratios — Generate landscape, portrait, square, or ultrawide videos.
  • Prompt-driven control — Describe subjects, actions, environments, camera movement, and visual style.

Parameters

ParameterRequiredDescription
promptYesDescribe the scene, action, camera movement, and visual style. Supports 1–7000 characters.
aspect_ratioNoOutput aspect ratio: 21:9, 16:9, 4:3, 1:1, 3:4, or 9:16. Default: 16:9.
resolutionNoOutput resolution: 480p or 768p. Default: 768p.
durationNoVideo duration in whole seconds from 4 to 15. Default: 5.

How to Use

  1. Write a prompt — Describe the subject, setting, action, camera movement, and visual style.
  2. Choose duration — Select a video length from 4 to 15 seconds.
  3. Choose resolution — Select 480p or 768p.
  4. Choose framing — Select the aspect ratio that fits your target format.
  5. Submit — Generate and retrieve the completed video.

Pricing

Pricing is based on the requested video duration and selected resolution.

ResolutionPrice per Second
480p$0.025
768p$0.04

Example Costs

Duration480p768p
5s$0.125$0.20
10s$0.25$0.40
15s$0.375$0.60

Best Use Cases

  • Cinematic concepts — Turn scene descriptions into short video clips.
  • Social media content — Generate landscape, portrait, or square videos.
  • Advertising concepts — Create promotional and campaign video ideas.
  • Creative storytelling — Generate short narrative scenes from text.
  • Visual prototyping — Explore camera movement, environments, and motion concepts.

Pro Tips

  • Keep the main subject and action clear.
  • Describe camera movement explicitly when it matters.
  • Include lighting, environment, and visual style for stronger direction.
  • Keep the requested action suitable for the selected duration.
  • Use 480p for lower-cost iteration before moving to 768p.

Notes

  • prompt is required.
  • duration supports whole-second values from 4 to 15 and defaults to 5.
  • resolution supports 480p and 768p and defaults to 768p.
  • Supported aspect ratios are 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16. Default: 16:9.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

H3 Lite Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/h3-lite/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 H3 Lite Text To Video below.

HTTP example
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",
    "aspect_ratio": "16:9",
    "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-lite/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="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
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/minimax/h3-lite/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "resolution": "768p",
        "duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}
Python example
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",
    "aspect_ratio": "16:9",
    "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-lite/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 = 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 Lite Text To Video API — Frequently asked questions

What is the H3 Lite Text To Video API?

H3 Lite Text To Video is a MiniMax model for video generation, exposed as a REST API on WaveSpeedAI. MiniMax H3 Lite Text-to-Video generates 480P / 768P videos from text prompts with flexible 4-15 second duration, making it suitable for creative videos, social content, ads, marketing, 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.

How do I call the H3 Lite Text To Video API?

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-lite-text-to-video.

How much does H3 Lite Text To Video cost per run or per second?

H3 Lite Text To Video starts at $0.04 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.

What inputs does H3 Lite Text To Video accept?

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/minimax/minimax-h3-lite-text-to-video.

How do I get started with the H3 Lite Text To Video API?

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.

Can I use H3 Lite Text To Video outputs commercially?

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.

llms.txt — minimax/h3-lite/text-to-video for AI agents and LLMs