Files
Templated-PPT-Master/runtime/ppt-master/scripts/image_backends/backend_minimax.py
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220 lines
6.9 KiB
Python

#!/usr/bin/env python3
"""
MiniMax image generation backend.
Configuration keys:
MINIMAX_API_KEY (required)
MINIMAX_BASE_URL (optional)
MINIMAX_MODEL (optional)
"""
import sys
from pathlib import Path
_SCRIPTS_DIR = Path(__file__).resolve().parents[1]
if str(_SCRIPTS_DIR) not in sys.path:
sys.path.insert(0, str(_SCRIPTS_DIR))
from console_encoding import configure_utf8_stdio # noqa: E402
configure_utf8_stdio()
if __name__ == "__main__":
print(__doc__)
print("Use via: python3 skills/ppt-master/scripts/image_gen.py \"prompt\" --backend minimax")
raise SystemExit(0 if any(arg in {"-h", "--help", "help"} for arg in sys.argv[1:]) else 1)
import base64
import os
import time
import requests
from image_backends.backend_common import (
MAX_RETRIES,
detect_image_extension,
http_error,
is_rate_limit_error,
normalize_image_size,
require_api_key,
resolve_output_path,
retry_delay,
save_image_bytes,
)
DEFAULT_ENDPOINT = "https://api.minimaxi.com/v1/image_generation"
DEFAULT_MODEL = "image-01"
# International fallback: set MINIMAX_BASE_URL=https://api.minimax.io if needed
ASPECT_RATIO_SIZE_MAP = {
"512px": {
"1:1": (512, 512),
"16:9": (640, 360),
"4:3": (576, 432),
"3:2": (624, 416),
"2:3": (416, 624),
"3:4": (432, 576),
"9:16": (360, 640),
"21:9": (672, 288),
},
"1K": {
"1:1": (1024, 1024),
"16:9": (1280, 720),
"4:3": (1152, 864),
"3:2": (1248, 832),
"2:3": (832, 1248),
"3:4": (864, 1152),
"9:16": (720, 1280),
"21:9": (1344, 576),
},
"2K": {
"1:1": (2048, 2048),
"16:9": (2048, 1152),
"4:3": (2048, 1536),
"3:2": (2048, 1368),
"2:3": (1368, 2048),
"3:4": (1536, 2048),
"9:16": (1152, 2048),
"21:9": (2048, 880),
},
"4K": {
"1:1": (2048, 2048),
"16:9": (2048, 1152),
"4:3": (2048, 1536),
"3:2": (2048, 1368),
"2:3": (1368, 2048),
"3:4": (1536, 2048),
"9:16": (1152, 2048),
"21:9": (2048, 880),
},
}
def _resolve_url(base_url: str) -> str:
"""Resolve the MiniMax image generation endpoint.
Accepts three forms of MINIMAX_BASE_URL:
- Full endpoint: https://api.minimax.io/v1/image_generation → used as-is
- Versioned base: https://api.minimax.io/v1 → appends /image_generation
- Root base: https://api.minimax.io → appends /v1/image_generation
"""
base = base_url.rstrip("/")
if base.endswith("/image_generation"):
return base
if base.endswith("/v1"):
return base + "/image_generation"
return base + "/v1/image_generation"
def _resolve_dimensions(aspect_ratio: str, image_size: str) -> tuple[int, int]:
"""Resolve width and height from the unified aspect_ratio/image_size pair."""
normalized = normalize_image_size(image_size)
dimensions = (ASPECT_RATIO_SIZE_MAP.get(normalized) or {}).get(aspect_ratio)
if not dimensions:
supported = sorted(ASPECT_RATIO_SIZE_MAP["1K"])
raise ValueError(
f"Unsupported aspect ratio '{aspect_ratio}' for MiniMax backend. "
f"Supported: {supported}"
)
return dimensions
def _extract_image_bytes(payload: dict) -> bytes | None:
"""Extract image bytes from a MiniMax response payload."""
data = payload.get("data") or {}
image_base64 = data.get("image_base64") or []
if image_base64:
return base64.b64decode(image_base64[0])
return None
def _generate_image(api_key: str, prompt: str,
aspect_ratio: str = "1:1", image_size: str = "1K",
output_dir: str = None, filename: str = None,
model: str = DEFAULT_MODEL, base_url: str = DEFAULT_ENDPOINT) -> str:
"""Generate one image with the MiniMax backend."""
width, height = _resolve_dimensions(aspect_ratio, image_size)
url = _resolve_url(base_url)
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
}
payload = {
"model": model,
"prompt": prompt,
"width": width,
"height": height,
"response_format": "base64",
"n": 1,
}
print("[MiniMax Image]")
print(f" Model: {model}")
print(f" Prompt: {prompt[:120]}{'...' if len(prompt) > 120 else ''}")
print(f" Aspect Ratio: {aspect_ratio}")
print(f" Resolution: {width}x{height} (from image_size={image_size})")
print()
print(" [..] Generating...", end="", flush=True)
start = time.time()
response = requests.post(url, headers=headers, json=payload, timeout=300)
elapsed = time.time() - start
print(f"\n [DONE] Response received ({elapsed:.1f}s)")
if response.status_code != 200:
raise http_error(response, "MiniMax image generation")
data = response.json()
base_resp = data.get("base_resp") or {}
if base_resp.get("status_code") not in (None, 0, "0"):
raise RuntimeError(f"MiniMax image generation failed: {data}")
image_bytes = _extract_image_bytes(data)
if not image_bytes:
raise RuntimeError(f"MiniMax response missing image data: {data}")
ext = detect_image_extension(image_bytes) or ".jpeg"
path = resolve_output_path(prompt, output_dir, filename, ext)
return save_image_bytes(image_bytes, path)
def generate(prompt: str,
aspect_ratio: str = "1:1", image_size: str = "1K",
output_dir: str = None, filename: str = None,
model: str = None, max_retries: int = MAX_RETRIES) -> str:
"""Generate an image with retries using the MiniMax backend."""
api_key = require_api_key(
"MINIMAX_API_KEY",
message="No API key found. Set MINIMAX_API_KEY in the current environment or a .env file.",
)
base_url = os.environ.get("MINIMAX_BASE_URL") or DEFAULT_ENDPOINT
resolved_model = model or os.environ.get("MINIMAX_MODEL") or DEFAULT_MODEL
normalized_size = normalize_image_size(image_size)
last_error = None
for attempt in range(max_retries + 1):
try:
return _generate_image(
api_key=api_key,
prompt=prompt,
aspect_ratio=aspect_ratio,
image_size=normalized_size,
output_dir=output_dir,
filename=filename,
model=resolved_model,
base_url=base_url,
)
except Exception as exc:
last_error = exc
if attempt >= max_retries:
break
limited = is_rate_limit_error(exc)
delay = retry_delay(attempt, rate_limited=limited)
label = "Rate limit hit" if limited else f"Error: {exc}"
print(f"\n [WARN] {label}. Retrying in {delay}s...")
time.sleep(delay)
raise RuntimeError(f"Failed after {max_retries + 1} attempts. Last error: {last_error}")