H3 Max Insert Video

Insert a newly generated scene into an existing video with MiniMax H3 Max via fal. Pick where the scene starts and where the original resumes; guide it with a prompt and references.

run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# sign in (or set INFERENCE_API_KEY on a headless machine)
$belt login
# view schema & details
$belt app get falai/minimax-h3-max-insert-video
# run
$belt app run falai/minimax-h3-max-insert-video --input '{"video":"https://example.com/file.png","start_time":1.625,"resume_time":1.625,"prompt":"A red fox darts across the path and vanishes into the bushes."}'
maker
falai
category
video
input → output
video → video
price
$0.05/sec 480p, $0.06/sec 768p
runs via
api, javascript and python sdk, belt cli, mcp
updated
2026-10-20

api reference

about

insert a newly generated scene into an existing video with minimax h3 max via fal. pick where the scene starts and where the original resumes; guide it with a prompt and references.

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash
1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash
1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567result = client.run({8        "app": "falai/minimax-h3-max-insert-video",9        "input": {10            "video": "https://example.com/file.png",11            "start_time": 1.625,12            "resume_time": 1.625,13            "prompt": "A red fox darts across the path and vanishes into the bushes."14        }15    })1617print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567# stream=True yields updates as they arrive8for update in client.run({9        "app": "falai/minimax-h3-max-insert-video",10        "input": {11            "video": "https://example.com/file.png",12            "start_time": 1.625,13            "resume_time": 1.625,14            "prompt": "A red fox darts across the path and vanishes into the bushes."15        }16    }, stream=True):17    if update.get("progress"):18        print(f"progress: {update['progress']}%")19    if update.get("output"):20        print(f"output: {update['output']}")

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python
1# local file paths are automatically uploaded2result = client.run({3    "app": "falai/minimax-h3-max-insert-video",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

you can also upload files manually and use the returned url.

python
1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

python
1result = client.run({2    "app": "falai/minimax-h3-max-insert-video",3    "input": {4        "video": "https://example.com/file.png",5        "start_time": 1.625,6        "resume_time": 1.625,7        "prompt": "A red fox darts across the path and vanishes into the bushes."8    },9    "webhook": "https://your-server.com/webhook"10}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json
1{2  "event": "task.completed",3  "timestamp": "2024-01-15T10:30:05Z",4  "data": {5    "id": "task_abc123",6    "short_id": "abc123",7    "status": 10,8    "status_text": "completed",9    "output": { ... },10    "created_at": "2024-01-15T10:30:00Z",11    "updated_at": "2024-01-15T10:30:05Z"12  }13}
eventstringtask.completed, task.failed or task.cancelled
timestampstringiso timestamp of the delivery
data.idstringtask id
data.short_idstringshort task id
data.statusnumberterminal status (10=completed, 11=failed, 12=cancelled, 13=rejected)
data.status_textstringthe status as a word: completed, failed or cancelled
data.outputobjecttask output (when completed)
data.errorstringerror message (when failed, omitted otherwise)
data.session_idstringsession id (when the task ran in a session, omitted otherwise)
data.created_atstringiso timestamp
data.updated_atstringiso timestamp

5. schema

input

videostring(file)*

source video to insert a scene into.

start_timenumber*

seconds into the source where the generated scene begins.

min:1.625max:60
resume_timenumber*

seconds into the source where the original footage resumes. must be after start_time, with footage remaining after it.

min:1.625max:60
durationnumber

length of the generated scene in seconds (5-13).

default: 5min:5max:13
promptstring

what happens in the inserted scene.

example: "A red fox darts across the path and vanishes into the bushes."
reference_imagesarray

reference images guiding the inserted scene (max 9).

reference_videosarray

reference videos guiding the inserted scene (max 3).

resolutionstring

output resolution.

default: "768p"
options:"480p""768p"
enable_prompt_expansionboolean

enhance the prompt using the source video.

default: true
color_matchboolean

match the inserted scene's color to the source footage.

default: true
seedinteger

random seed for reproducible generation.

output

durationnumber

total length of the final video in seconds.

expanded_promptstring

the prompt used after expansion.

injected_durationnumber

length of the generated scene in seconds.

seedinteger

seed used for generation.

videostring(file)*

the final video with the inserted scene.

ready to run H3 Max Insert Video?

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