Initial commit: add all skills files

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-04-10 16:52:49 +08:00
commit 6487becf60
396 changed files with 108871 additions and 0 deletions

View File

@@ -0,0 +1,133 @@
#!/usr/bin/env python3
# SPDX-License-Identifier: MIT
"""
MiniMax Text-to-Image — synchronous generation.
Usage:
python minimax_image.py "A cat in space" -o cat.png
python minimax_image.py "Mountain landscape" -o bg.png --ratio 16:9
python minimax_image.py "Product icons" -o icons.png -n 4 --ratio 1:1
Env: MINIMAX_API_KEY (required)
"""
import os
import sys
import json
import argparse
import requests
API_KEY = os.getenv("MINIMAX_API_KEY")
API_BASE = "https://api.minimax.io/v1"
ASPECT_RATIOS = ["1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9"]
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 generate_image(
prompt: str,
model: str = "image-01",
aspect_ratio: str = "1:1",
n: int = 1,
response_format: str = "url",
prompt_optimizer: bool = False,
seed: int = None,
) -> dict:
"""Generate image(s). Returns API response dict."""
payload = {
"model": model,
"prompt": prompt,
"aspect_ratio": aspect_ratio,
"n": n,
"response_format": response_format,
"prompt_optimizer": prompt_optimizer,
}
if seed is not None:
payload["seed"] = seed
resp = requests.post(
f"{API_BASE}/image_generation",
headers=_headers(),
json=payload,
timeout=120,
)
resp.raise_for_status()
data = resp.json()
base_resp = data.get("base_resp", {})
if base_resp.get("status_code", 0) != 0:
raise SystemExit(f"API Error [{base_resp.get('status_code')}]: {base_resp.get('status_msg')}")
return data
def download_and_save(url: str, output_path: str):
"""Download image from URL and save."""
resp = requests.get(url, timeout=60)
resp.raise_for_status()
with open(output_path, "wb") as f:
f.write(resp.content)
return len(resp.content)
def main():
p = argparse.ArgumentParser(description="MiniMax Text-to-Image")
p.add_argument("prompt", help="Image description (max 1500 chars)")
p.add_argument("-o", "--output", required=True, help="Output file path (.png/.jpg)")
p.add_argument("--model", default="image-01", help="Model (default: image-01)")
p.add_argument("--ratio", default="1:1", choices=ASPECT_RATIOS, help="Aspect ratio (default: 1:1)")
p.add_argument("-n", "--count", type=int, default=1, choices=range(1, 10), help="Number of images (1-9, default: 1)")
p.add_argument("--seed", type=int, default=None, help="Random seed for reproducibility")
p.add_argument("--optimize", action="store_true", help="Enable prompt auto-optimization")
p.add_argument("--base64", action="store_true", help="Use base64 response instead of URL")
args = p.parse_args()
os.makedirs(os.path.dirname(args.output) or ".", exist_ok=True)
fmt = "base64" if args.base64 else "url"
result = generate_image(
prompt=args.prompt,
model=args.model,
aspect_ratio=args.ratio,
n=args.count,
response_format=fmt,
prompt_optimizer=args.optimize,
seed=args.seed,
)
meta = result.get("metadata", {})
print(f"Generated: {meta.get('success_count', '?')} success, {meta.get('failed_count', '?')} failed")
if args.base64:
images = result.get("data", {}).get("image_base64", [])
import base64
for i, b64 in enumerate(images):
path = args.output if len(images) == 1 else _numbered_path(args.output, i)
raw = base64.b64decode(b64)
with open(path, "wb") as f:
f.write(raw)
print(f"OK: {len(raw)} bytes -> {path}")
else:
urls = result.get("data", {}).get("image_urls", [])
for i, url in enumerate(urls):
path = args.output if len(urls) == 1 else _numbered_path(args.output, i)
size = download_and_save(url, path)
print(f"OK: {size} bytes -> {path}")
def _numbered_path(path: str, index: int) -> str:
"""Insert index before extension: out.png -> out-0.png"""
base, ext = os.path.splitext(path)
return f"{base}-{index}{ext}"
if __name__ == "__main__":
main()