MiniMax H3 Max Turbo API

MiniMax H3 Max Turbo: Text-to-Video and Image-to-Video

What is MiniMax H3 Max Turbo?

MiniMax H3 Max Turbo is a fast AI video generator that turns a text prompt or a first-frame image into a 5 to 15 second clip at 480P or 768P. It is the speed-tuned tier of H3 Max — fal's post-trained version of MiniMax's H3 (Hailuo 3) video model — and renders faster than real time while holding H3 Max-level quality. If you know MiniMax H3 or Hailuo, Turbo is the tier for exploring many shots quickly rather than mastering at 2K.

Key Features

Strong prompt adherence and aesthetics. Follows specific, multi-clause briefs — subject, action and camera move — closely and cleanly.
Text-to-video and image-to-video in one endpoint. Set the image parameter to animate a still first frame.
First-and-last-frame keyframing. Supply a first and last frame and the model interpolates the motion between them.
Legible on-screen text and kinetic typography. Renders correctly spelled titles, captions and brand marks.
Flexible output. 5 to 15 seconds, 480P or 768P, six aspect ratios from 21:9 to 9:16.
Speed. Roughly twice as fast as H3 Max.

Best Use Cases

Turbo suits rapid iteration: ad concepts, social short-form, product motion and motion-graphics titles. In testing it realized a detailed sports brief (a track cyclist coming off a velodrome banking with the camera on the front wheel), animated a product still into a chocolate pour, interpolated a first-and-last-frame keyframe pair, and rendered a legible motion title with native synchronized audio in the returned mp4.

Prompt Tips and Output Quality

Write one clear subject, one action and one motivated camera move; the model rewards concrete nouns over adjectives. For image-to-video, feed a first frame that already contains something poised to move. Keep prompt_expansion_mode on balanced to honor your exact wording, or switch to quality to enrich short prompts. Output was photoreal and temporally stable at 768P.

How to Use MiniMax H3 Max Turbo

MiniMax H3 Max Turbo generates 5 to 15 second videos from a text prompt or a first-frame image. It rewards precise briefs: name the subject, the single action, and one camera move. Use text-to-video for original shots, image-to-video to animate a still, and first-and-last-frame keyframing for controlled transitions.

Recommended Settings

Text-to-video: 768P, duration 5 to 6s (up to 15s), aspect_ratio 16:9 or 9:16, prompt_expansion_mode balanced, seed -1.
Image-to-video: set image to your first frame; aspect_ratio is ignored (output follows the image). Start at 5s.
First-and-last-frame: set image and last_frame_image to two frames of the same subject and background; duration 5s.
Drafts vs finals: 480P for exploration, 768P for delivery. Use quality expansion only to enrich short prompts.

Example prompts to try

Each example below ran end to end at the settings above; the length, motion and framing carried straight from the prompt into the finished clip.

Prompt-adhering fast motion (default). Prompt: "A track cyclist in a red skinsuit sprints off the final banking of a wooden velodrome, rising out of the saddle as the bike surges forward; the camera tracks level with the front wheel while the pine boards blur past behind." The clip realized every clause with clean, fast, legible motion. Tip: write one subject plus one action plus one motivated camera move; 768P at 6s.
Image-to-video from a first frame. Prompt: "A thin ribbon of dark chocolate pours from the copper jug and spreads glossily across the top of the tart, its surface rippling and settling as the jug tilts back and lifts away." The supplied chocolate-tart still came to life. Tip: feed a first frame that already holds something poised to move; i2v ignores aspect_ratio and follows the image.
Legible kinetic typography. Prompt: "Bold cream sans-serif letters spelling 'NORTH LOOP 7' snap onto a flat charcoal background one word at a time, a magenta bar wipes left to right beneath the words, then the whole title compresses slightly and settles sharp and centered." Cream text snapped in word by word, correctly spelled, with a magenta underline. Tip: put the exact words in quotes and name the beats; text stays crisp at 768P.

Reference-guided: first-and-last-frame

This mode takes two frames — set image as the first frame and last_frame_image as the end frame, keeping the same subject and background so only the pose changes.

First-and-last-frame keyframing. Prompt: "The folded paper crane rises and straightens on the walnut table, its creased wings spreading outward and lifting until it stands upright, sharp folds catching the light." The crane's wings visibly rose and spread as it straightened between the two frames. Tip: change only the pose you want animated.

Also built for prompts like "a lathe peels a bright curl of steel from a spinning bar" or "a neon sign flickers on above a diner counter."

MiniMax H3 Max Turbo examples

Requests run on MiniMax H3 Max Turbo in the playground: what each was given, what came back, and the API call that makes it.

How to make a track cycling sprint clip for sports promos with MiniMax H3 Max Turbo

Prompt

A track cyclist in a red skinsuit sprints off the final banking of a wooden velodrome, rising out of the saddle as the bike surges forward; the camera tracks level with the front wheel while the pine boards blur past behind.

Settings

duration: 6
resolution: 768P
aspect_ratio: 16:9
prompt_expansion_mode: balanced
seed: -1

Output from MiniMax H3 Max Turbo

API request

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/minimax-h3-max-turbo" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A track cyclist in a red skinsuit sprints off the final banking of a wooden velodrome, rising out of the saddle as the bike surges forward; the camera tracks level with the front wheel while the pine boards blur past behind.",
  "duration": 6,
  "resolution": "768P",
  "aspect_ratio": "16:9",
  "prompt_expansion_mode": "balanced",
  "seed": -1
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "minimax-h3-max-turbo",
    prompt="A track cyclist in a red skinsuit sprints off the final banking of a wooden velodrome, rising out of the saddle as the bike surges forward; the camera tracks level with the front wheel while the pine boards blur past behind.",
    duration=6,
    resolution="768P",
    aspect_ratio="16:9",
    prompt_expansion_mode="balanced",
    seed=-1,
)
print(result.get("output"))

How to animate a dessert photo into a chocolate pour clip with MiniMax H3 Max Turbo

Prompt

A thin ribbon of dark chocolate pours from the copper jug and spreads glossily across the top of the tart, its surface rippling and settling as the jug tilts back and lifts away.

Input image

Settings

duration: 5
resolution: 768P
aspect_ratio: 16:9
prompt_expansion_mode: balanced
seed: -1

Output from MiniMax H3 Max Turbo

API request

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/minimax-h3-max-turbo" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A thin ribbon of dark chocolate pours from the copper jug and spreads glossily across the top of the tart, its surface rippling and settling as the jug tilts back and lifts away.",
  "image": "https://segmind-resources.s3.amazonaws.com/input/minimax-h3-max-turbo-cardA-choc-firstframe-97907ef7.jpg",
  "duration": 5,
  "resolution": "768P",
  "aspect_ratio": "16:9",
  "prompt_expansion_mode": "balanced",
  "seed": -1
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "minimax-h3-max-turbo",
    prompt="A thin ribbon of dark chocolate pours from the copper jug and spreads glossily across the top of the tart, its surface rippling and settling as the jug tilts back and lifts away.",
    image="https://segmind-resources.s3.amazonaws.com/input/minimax-h3-max-turbo-cardA-choc-firstframe-97907ef7.jpg",
    duration=5,
    resolution="768P",
    aspect_ratio="16:9",
    prompt_expansion_mode="balanced",
    seed=-1,
)
print(result.get("output"))

How to create an animated title card for a video intro with MiniMax H3 Max Turbo

Prompt

Bold cream sans-serif letters spelling 'NORTH LOOP 7' snap onto a flat charcoal background one word at a time, a magenta bar wipes left to right beneath the words, then the whole title compresses slightly and settles sharp and centered.

Settings

duration: 5
resolution: 768P
aspect_ratio: 16:9
prompt_expansion_mode: balanced
seed: -1

Output from MiniMax H3 Max Turbo

API request

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/minimax-h3-max-turbo" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "Bold cream sans-serif letters spelling '\''NORTH LOOP 7'\'' snap onto a flat charcoal background one word at a time, a magenta bar wipes left to right beneath the words, then the whole title compresses slightly and settles sharp and centered.",
  "duration": 5,
  "resolution": "768P",
  "aspect_ratio": "16:9",
  "prompt_expansion_mode": "balanced",
  "seed": -1
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "minimax-h3-max-turbo",
    prompt="Bold cream sans-serif letters spelling 'NORTH LOOP 7' snap onto a flat charcoal background one word at a time, a magenta bar wipes left to right beneath the words, then the whole title compresses slightly and settles sharp and centered.",
    duration=5,
    resolution="768P",
    aspect_ratio="16:9",
    prompt_expansion_mode="balanced",
    seed=-1,
)
print(result.get("output"))

How to animate a paper crane between first and last frames with MiniMax H3 Max Turbo

Prompt

The folded paper crane rises and straightens on the walnut table, its creased wings spreading outward and lifting until it stands upright, sharp folds catching the light.

Input images

Settings

duration: 5
resolution: 768P
aspect_ratio: 16:9
prompt_expansion_mode: balanced
seed: -1

Output from MiniMax H3 Max Turbo

API request

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/minimax-h3-max-turbo" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "The folded paper crane rises and straightens on the walnut table, its creased wings spreading outward and lifting until it stands upright, sharp folds catching the light.",
  "image": "https://segmind-resources.s3.amazonaws.com/input/minimax-h3-max-turbo-cardC-crane-firstframe-5f4d8943.jpg",
  "last_frame_image": "https://segmind-resources.s3.amazonaws.com/input/minimax-h3-max-turbo-cardC-crane-lastframe-cee4e7e1.jpg",
  "duration": 5,
  "resolution": "768P",
  "aspect_ratio": "16:9",
  "prompt_expansion_mode": "balanced",
  "seed": -1
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "minimax-h3-max-turbo",
    prompt="The folded paper crane rises and straightens on the walnut table, its creased wings spreading outward and lifting until it stands upright, sharp folds catching the light.",
    image="https://segmind-resources.s3.amazonaws.com/input/minimax-h3-max-turbo-cardC-crane-firstframe-5f4d8943.jpg",
    last_frame_image="https://segmind-resources.s3.amazonaws.com/input/minimax-h3-max-turbo-cardC-crane-lastframe-cee4e7e1.jpg",
    duration=5,
    resolution="768P",
    aspect_ratio="16:9",
    prompt_expansion_mode="balanced",
    seed=-1,
)
print(result.get("output"))

What is the maximum resolution?

768P — for 2K, use base MiniMax H3.

Does it support image-to-video?

Yes. Set the image parameter for a first frame, and optionally last_frame_image for a first-and-last-frame transition.

How long can a clip be?

From 5 to 15 seconds, at 24 fps.

Does it generate audio?

Base H3 produces native synchronized audio, and the returned mp4 carried an audio track in testing.

How is it different from MiniMax H3?

It is the fast Turbo tier of fal's H3 Max, built on MiniMax H3, tuned for speed and prompt adherence rather than 2K mastering.

MiniMax H3 Max Turbo

MiniMax H3 Max Turbo: Text-to-Video and Image-to-Video

What is MiniMax H3 Max Turbo?

Key Features

Best Use Cases

Prompt Tips and Output Quality

How to Use MiniMax H3 Max Turbo

Recommended Settings

Example prompts to try

Reference-guided: first-and-last-frame

MiniMax H3 Max Turbo examples

How to make a track cycling sprint clip for sports promos with MiniMax H3 Max Turbo

How to animate a dessert photo into a chocolate pour clip with MiniMax H3 Max Turbo

How to create an animated title card for a video intro with MiniMax H3 Max Turbo

How to animate a paper crane between first and last frames with MiniMax H3 Max Turbo

What is the maximum resolution?

Does it support image-to-video?

How long can a clip be?

Does it generate audio?

How is it different from MiniMax H3?

Related Models

Minimax AI Director

MiniMax Speech

MiniMax H3 Max Turbo

MiniMax H3 Max Turbo: Text-to-Video and Image-to-Video

What is MiniMax H3 Max Turbo?

Key Features

Best Use Cases

Prompt Tips and Output Quality

How to Use MiniMax H3 Max Turbo

Recommended Settings

Example prompts to try

Reference-guided: first-and-last-frame

How to make a track cycling sprint clip for sports promos with MiniMax H3 Max Turbo

How to animate a dessert photo into a chocolate pour clip with MiniMax H3 Max Turbo

How to create an animated title card for a video intro with MiniMax H3 Max Turbo

How to animate a paper crane between first and last frames with MiniMax H3 Max Turbo

What is the maximum resolution?

Does it support image-to-video?

How long can a clip be?

Does it generate audio?

How is it different from MiniMax H3?

Related Models

MiniMax Hailuo H3 Text to Video

Minimax AI Director

MiniMax Speech

Hailuo 2.3 Fast