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MiniMax H3 Open Weights Text to Video with custom LoRA support generates coherent videos from text prompts, with 480P / 540P / 768P output, native stereo audio, 5-15 second duration, flexible aspect ratios, and per-second billing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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Idle

$0.125per run·~80 / $10

ExamplesView all

A street musician with a guitar on a sunny plaza looks into the camera and says: "This one's for everyone who kept walking. Stay a minute." Then he strums a warm chord. Natural light, light crowd murmur.

Related Models

README

MiniMax H3 Text-to-Video LoRA

MiniMax H3 Text-to-Video LoRA Open Weights runs the open-weights edition of MiniMax H3 with LoRA support on WaveSpeedAI. This endpoint is separate from the official minimax/h3 API and uses its own 480p / 768p / 1080p resolution options and per-second pricing.

MiniMax H3 generates video and native stereo audio in a single pass. Describe both the visuals and the sound in one prompt, and the model produces an MP4 with synchronized dialogue, sound effects, music, or ambience.

Why Choose This?

  • Open-weights MiniMax H3 workflow
    Use the open-weights edition of MiniMax H3 through WaveSpeedAI-hosted infrastructure.

  • Native stereo audio
    Generate visuals and synchronized stereo audio together in one pass.

  • LoRA support
    Load up to 3 LoRA weights per request, each with its own scale.

  • Text-to-video generation
    Generate complete videos directly from text prompts.

  • Prompt-controlled soundtrack
    Use an Audio: line in the prompt to guide music, dialogue, ambience, and sound effects.

  • Flexible aspect ratios
    Supports landscape, vertical, square, classic, and cinematic aspect ratios.

Parameters

ParameterRequiredDescription
promptYesScene, action, camera movement, timing, and an Audio: line for soundtrack guidance.
aspect_ratioNoOutput aspect ratio: 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, or 9:21. Default: 16:9.
resolutionNoOutput resolution: 480p, 540p, 768p, or 1080p. Default: 480p.
durationNoOutput duration in seconds. Range: 3–15. Default: 5.
seedNoFixed seed for reproducible output.
lorasNoUp to 3 LoRA weights. Each item uses {path, scale}, where path is a LoRA file URL.

How to Use

  1. Write the prompt — Describe the visual scene, timeline, camera movement, and audio direction.
  2. Choose aspect ratio — Select the format that matches your target platform or composition.
  3. Choose resolution — Use 480p for lower-cost generation, 540p for a mid-price step up, 768p for higher-resolution output, or 1080p for full-HD output.
  4. Set duration — Choose a duration from 3 to 15 seconds.
  5. Add LoRAs optional — Provide up to 3 LoRA files with individual scale values.
  6. Set seed optional — Use a fixed seed when reproducibility is needed.
  7. Submit — Generate the final MP4 with native stereo audio.

Pricing

Pricing is based on generated video duration and selected resolution.

ResolutionPer second5s15s
480p$0.05$0.25$0.75
540p$0.075$0.375$1.125
768p$0.10$0.50$1.50
1080p$0.20$1.00$3.00

Duration is capped at 15 seconds for pricing. LoRA loading does not add a separate charge.

Best Use Cases

  • LoRA-guided video generation — Apply custom visual styles, subjects, or concepts with LoRA weights.
  • Text-to-video creation — Generate complete videos directly from natural-language prompts.
  • Music and audio-driven scenes — Create videos with native stereo sound, ambience, dialogue, or music.
  • Character and style testing — Use LoRAs to guide consistent looks across prompt variations.
  • Creative prototyping — Test visual timing, camera movement, and soundtrack direction quickly.
  • Social video content — Generate short clips for landscape, vertical, square, or cinematic formats.

Pro Tips

  • Write prompts as a timeline with clear timestamped beats.
  • Include an Audio: line to guide soundtrack, ambience, voice, and effects.
  • Use action verbs instead of only describing mood or visual style.
  • Keep the first test short, then increase duration once the scene direction works.
  • Use a fixed seed when comparing LoRA scale or prompt variations.
  • Start LoRA scale around 0.8–1.0, then adjust based on how strongly the LoRA affects the result.
  • Use a short negative list such as no subtitles, no extra text, or no extra people when needed.

Related Models

Reference

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.

Minimax H3 Text To Video Lora API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/text-to-video-lora 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 Minimax H3 Text To Video Lora 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": "480p",
    "duration": 5
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/text-to-video-lora" \
  -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/wavespeed-ai/minimax-h3/text-to-video-lora";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "resolution": "480p",
        "duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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": "480p",
    "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/wavespeed-ai/minimax-h3/text-to-video-lora", 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)

Minimax H3 Text To Video Lora API — Frequently asked questions

What is the Minimax H3 Text To Video Lora API?

Minimax H3 Text To Video Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. MiniMax H3 Open Weights Text to Video with custom LoRA support generates coherent videos from text prompts, with 480P / 540P / 768P output, native stereo audio, 5-15 second duration, flexible aspect ratios, and per-second billing. 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 Minimax H3 Text To Video Lora 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 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/wavespeed-ai/minimax-h3-text-to-video-lora.

How much does Minimax H3 Text To Video Lora cost per run?

Minimax H3 Text To Video Lora starts at $0.25 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.

What inputs does Minimax H3 Text To Video Lora accept?

Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `seed`, `loras`. 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/wavespeed-ai/minimax-h3-text-to-video-lora.

How long does Minimax H3 Text To Video Lora take to generate?

Median end-to-end generation time on WaveSpeedAI is around 39 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Minimax H3 Text To Video Lora outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

MiniMax H3 Text-to-Video Open Weights LoRA | Custom LoRA Video API on WaveSpeedAI