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MiniMax H3 Open Weights Image to Video animates a first-frame image, optionally with last-frame guidance, into coherent 480P / 540P / 768P videos with 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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$0.125per run·~80 / $10

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The waiter sets the coffee down and says with a smile: "Your cappuccino, exactly how you like it." The woman looks up and replies: "You remembered. Thank you." Seaside cafe ambience.

Related Models

README

MiniMax H3 Image-to-Video LoRA

MiniMax H3 Image-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. Provide a first-frame image plus a prompt, and the model animates the scene with synchronized dialogue, sound effects, music, or ambience. You can also provide an optional last_image to guide the ending frame.

Why Choose This?

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

  • Image-to-video generation
    Animate a first-frame image into a complete video with prompt-guided motion.

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

  • Optional last-frame control
    Use last_image to guide the final frame and create a controlled start-to-end transition.

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

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

Parameters

ParameterRequiredDescription
promptYesDesired motion, camera movement, timing, and an Audio: line for soundtrack guidance.
imageYesFirst-frame image URL. The output canvas follows this image's aspect ratio.
last_imageNoOptional last-frame image URL. When provided, the model generates motion from the first frame toward this ending frame.
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. Upload the first-frame image — Provide the image that should define the starting frame, subject, composition, and style.
  2. Add last-frame guidance optional — Use last_image when you want to control the final frame or ending direction.
  3. Write the prompt — Describe motion, timing, camera movement, and audio direction.
  4. 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.
  5. Set duration — Choose a duration from 3 to 15 seconds.
  6. Add LoRAs optional — Provide up to 3 LoRA files with individual scale values.
  7. Set seed optional — Use a fixed seed when reproducibility is needed.
  8. 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 image animation — Animate a reference image while applying custom styles, subjects, or concept LoRAs.
  • Character motion — Bring portraits, characters, or illustrated subjects to life with synchronized audio.
  • Start-and-end-frame control — Use image and last_image to guide both the opening and ending of the video.
  • Music and audio-driven scenes — Generate video with native stereo ambience, dialogue, sound effects, or music.
  • Creative prototyping — Test motion direction, camera movement, and soundtrack ideas from a still image.
  • Social video content — Generate short clips for portrait, landscape, square, or cinematic formats.

Pro Tips

  • Use a clear, well-lit first-frame image for stronger subject preservation.
  • Use last_image when the final pose, composition, or ending beat matters.
  • Write prompts as a timeline with clear timestamped motion 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 motion direction works.
  • Use a fixed seed when comparing LoRA scale or prompt changes.
  • Start LoRA scale around 0.8–1.0, then adjust based on the strength of the LoRA effect.

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 Image To Video Lora API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/image-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 Image 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",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "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/image-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/image-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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "resolution": "480p",
        "duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "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/image-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 Image To Video Lora API — Frequently asked questions

What is the Minimax H3 Image To Video Lora API?

Minimax H3 Image To Video Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. MiniMax H3 Open Weights Image to Video animates a first-frame image, optionally with last-frame guidance, into coherent 480P / 540P / 768P videos with 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 Image 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-image-to-video-lora.

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

Minimax H3 Image 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 Image To Video Lora accept?

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

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

Median end-to-end generation time on WaveSpeedAI is around 37 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 Image 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 Image-to-Video Open Weights LoRA | Custom LoRA Video API on WaveSpeedAI