Files

211 lines
6.5 KiB
Python

#!/usr/bin/env python3
"""
Alibaba Cloud Qwen image generation backend.
Configuration keys:
QWEN_API_KEY / DASHSCOPE_API_KEY (required)
QWEN_BASE_URL (optional)
QWEN_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 qwen")
raise SystemExit(0 if any(arg in {"-h", "--help", "help"} for arg in sys.argv[1:]) else 1)
import os
import time
import requests
from image_backends.backend_common import (
MAX_RETRIES,
download_image,
http_error,
is_rate_limit_error,
normalize_image_size,
require_api_key,
resolve_output_path,
retry_delay,
)
DEFAULT_ENDPOINT = "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation"
DEFAULT_MODEL = "qwen-image-2.0-pro"
ASPECT_RATIO_SIZE_MAP = {
"512px": {
"1:1": "1024*1024",
"2:3": "768*1152",
"3:2": "1152*768",
"3:4": "864*1152",
"4:3": "1152*864",
"4:5": "896*1120",
"5:4": "1120*896",
"9:16": "720*1280",
"16:9": "1280*720",
"21:9": "1344*576",
},
"1K": {
"1:1": "1536*1536",
"2:3": "1024*1536",
"3:2": "1536*1024",
"3:4": "1152*1536",
"4:3": "1536*1152",
"4:5": "1216*1536",
"5:4": "1536*1216",
"9:16": "896*1600",
"16:9": "1600*896",
"21:9": "1792*768",
},
"2K": {
"1:1": "2048*2048",
"2:3": "1536*2048",
"3:2": "2048*1536",
"3:4": "1728*2368",
"4:3": "2368*1728",
"4:5": "1792*2240",
"5:4": "2240*1792",
"9:16": "1536*2688",
"16:9": "2688*1536",
"21:9": "2688*1152",
},
"4K": {
"1:1": "2048*2048",
"2:3": "1536*2048",
"3:2": "2048*1536",
"3:4": "1728*2368",
"4:3": "2368*1728",
"4:5": "1792*2240",
"5:4": "2240*1792",
"9:16": "1536*2688",
"16:9": "2688*1536",
"21:9": "2688*1152",
},
}
def _resolve_url(base_url: str) -> str:
"""Resolve the Qwen generation endpoint."""
base = base_url.rstrip("/")
if base.endswith("/generation"):
return base
return base + "/api/v1/services/aigc/multimodal-generation/generation"
def _resolve_size(aspect_ratio: str, image_size: str) -> str:
"""Resolve the target resolution for a ratio and logical size preset."""
normalized = normalize_image_size(image_size)
size = (ASPECT_RATIO_SIZE_MAP.get(normalized) or {}).get(aspect_ratio)
if not size:
supported = sorted(ASPECT_RATIO_SIZE_MAP["1K"])
raise ValueError(
f"Unsupported aspect ratio '{aspect_ratio}' for Qwen backend. "
f"Supported: {supported}"
)
return size
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 Qwen backend."""
size = _resolve_size(aspect_ratio, image_size)
url = _resolve_url(base_url)
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
}
payload = {
"model": model,
"input": {
"messages": [
{
"role": "user",
"content": [{"text": prompt}],
}
]
},
"parameters": {
"size": size,
"prompt_extend": True,
"watermark": False,
},
}
print("[Alibaba Qwen Image]")
print(f" Model: {model}")
print(f" Prompt: {prompt[:120]}{'...' if len(prompt) > 120 else ''}")
print(f" Aspect Ratio: {aspect_ratio}")
print(f" Resolution: {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, "Qwen image generation")
data = response.json()
choices = ((data.get("output") or {}).get("choices") or [])
contents = (((choices[0] if choices else {}).get("message") or {}).get("content") or [])
image_url = contents[0].get("image") if contents else None
if not image_url:
raise RuntimeError(f"Qwen response missing image URL: {data}")
path = resolve_output_path(prompt, output_dir, filename, ".png")
return download_image(image_url, 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 Qwen backend."""
api_key = require_api_key(
"QWEN_API_KEY",
"DASHSCOPE_API_KEY",
message="No API key found. Set QWEN_API_KEY or DASHSCOPE_API_KEY in the current environment or a .env file.",
)
base_url = os.environ.get("QWEN_BASE_URL") or DEFAULT_ENDPOINT
resolved_model = model or os.environ.get("QWEN_MODEL") or DEFAULT_MODEL
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=image_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}")