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skills/frontend-dev/scripts/minimax_video.py
shihao 6487becf60 Initial commit: add all skills files
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 16:52:49 +08:00

184 lines
5.9 KiB
Python

#!/usr/bin/env python3
# SPDX-License-Identifier: MIT
"""
MiniMax Text-to-Video — async generation with polling and download.
Usage:
python minimax_video.py "A cat playing piano" -o cat.mp4
python minimax_video.py "Ocean waves [Truck left]" -o waves.mp4 --model MiniMax-Hailuo-2.3 --duration 10
python minimax_video.py "City skyline at sunset [Push in]" -o city.mp4 --resolution 1080P
Env: MINIMAX_API_KEY (required)
"""
import os
import sys
import json
import time
import argparse
import requests
API_KEY = os.getenv("MINIMAX_API_KEY")
API_BASE = "https://api.minimax.io/v1"
def _headers():
if not API_KEY:
raise SystemExit("ERROR: MINIMAX_API_KEY is not set.\n export MINIMAX_API_KEY='your-key'")
return {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
}
def _check_resp(data):
base_resp = data.get("base_resp", {})
code = base_resp.get("status_code", 0)
if code != 0:
msg = base_resp.get("status_msg", "Unknown error")
raise SystemExit(f"API Error [{code}]: {msg}")
def create_task(
prompt: str,
model: str = "MiniMax-Hailuo-2.3",
duration: int = 6,
resolution: str = "768P",
prompt_optimizer: bool = True,
) -> str:
"""Submit a video generation task. Returns task_id."""
payload = {
"model": model,
"prompt": prompt,
"duration": duration,
"resolution": resolution,
"prompt_optimizer": prompt_optimizer,
}
resp = requests.post(
f"{API_BASE}/video_generation",
headers=_headers(),
json=payload,
timeout=30,
)
resp.raise_for_status()
data = resp.json()
_check_resp(data)
task_id = data.get("task_id")
if not task_id:
raise SystemExit(f"No task_id in response: {json.dumps(data, indent=2)}")
return task_id
def poll_task(task_id: str, interval: int = 10, max_wait: int = 600) -> str:
"""Poll task status until Success. Returns file_id."""
elapsed = 0
while elapsed < max_wait:
resp = requests.get(
f"{API_BASE}/query/video_generation",
headers=_headers(),
params={"task_id": task_id},
timeout=30,
)
resp.raise_for_status()
data = resp.json()
_check_resp(data)
status = data.get("status", "")
file_id = data.get("file_id", "")
if status == "Success":
if not file_id:
raise SystemExit("Task succeeded but no file_id returned")
print(f" Done! file_id={file_id}")
return file_id
elif status == "Fail":
raise SystemExit(f"Video generation failed: {json.dumps(data, indent=2)}")
else:
print(f" [{elapsed}s] Status: {status}...")
time.sleep(interval)
elapsed += interval
raise SystemExit(f"Timeout after {max_wait}s. task_id={task_id}, check manually.")
def download_video(file_id: str, output_path: str):
"""Retrieve download URL via file_id and save the video."""
resp = requests.get(
f"{API_BASE}/files/retrieve",
headers=_headers(),
params={"file_id": file_id},
timeout=30,
)
resp.raise_for_status()
data = resp.json()
_check_resp(data)
download_url = data.get("file", {}).get("download_url", "")
if not download_url:
raise SystemExit(f"No download_url in response: {json.dumps(data, indent=2)}")
print(f" Downloading from {download_url[:80]}...")
video_resp = requests.get(download_url, timeout=300)
video_resp.raise_for_status()
os.makedirs(os.path.dirname(output_path) or ".", exist_ok=True)
with open(output_path, "wb") as f:
f.write(video_resp.content)
print(f"OK: {len(video_resp.content)} bytes -> {output_path}")
def generate(
prompt: str,
output_path: str,
model: str = "MiniMax-Hailuo-2.3",
duration: int = 6,
resolution: str = "768P",
prompt_optimizer: bool = True,
poll_interval: int = 10,
max_wait: int = 600,
):
"""Full pipeline: create task -> poll -> download."""
print(f"Creating video task...")
print(f" Model: {model} | Duration: {duration}s | Resolution: {resolution}")
print(f" Prompt: {prompt[:100]}{'...' if len(prompt) > 100 else ''}")
task_id = create_task(prompt, model, duration, resolution, prompt_optimizer)
print(f" task_id={task_id}")
print(f"Waiting for generation...")
file_id = poll_task(task_id, poll_interval, max_wait)
download_video(file_id, output_path)
def main():
p = argparse.ArgumentParser(description="MiniMax Text-to-Video")
p.add_argument("prompt", help="Video description (max 2000 chars). Use [Camera Command] for camera control.")
p.add_argument("-o", "--output", required=True, help="Output file path (.mp4)")
p.add_argument("--model", default="MiniMax-Hailuo-2.3",
choices=["MiniMax-Hailuo-2.3", "MiniMax-Hailuo-02", "T2V-01-Director", "T2V-01"],
help="Model (default: MiniMax-Hailuo-2.3)")
p.add_argument("--duration", type=int, default=6, choices=[6, 10], help="Duration in seconds (default: 6)")
p.add_argument("--resolution", default="768P", choices=["720P", "768P", "1080P"], help="Resolution (default: 768P)")
p.add_argument("--no-optimize", action="store_true", help="Disable prompt auto-optimization")
p.add_argument("--poll-interval", type=int, default=10, help="Poll interval in seconds (default: 10)")
p.add_argument("--max-wait", type=int, default=600, help="Max wait time in seconds (default: 600)")
args = p.parse_args()
generate(
prompt=args.prompt,
output_path=args.output,
model=args.model,
duration=args.duration,
resolution=args.resolution,
prompt_optimizer=not args.no_optimize,
poll_interval=args.poll_interval,
max_wait=args.max_wait,
)
if __name__ == "__main__":
main()