Seedream 5.5 レイヤー分解後の再構成と文字編集

curl -X POST https://api.evolink.ai/v1/images/generations \
  -H "Authorization: Bearer $EVOLINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "doubao-seedream-5.5-layerize",
    "image_urls": ["YOUR_PUBLIC_IMAGE_URL"],
    "quality": "auto",
    "output_format": "png",
    "n": 30,
    "model_params": {"text_recognition": true}
  }'

{
  "base": "base.png",
  "layers": [
    {"file": "layer-1.png", "box": [120, 80, 420, 280], "z": 1}
  ]
}

import json
import sys
from pathlib import Path
from PIL import Image

manifest = Path(sys.argv[1])
data = json.loads(manifest.read_text())
root = manifest.parent
with Image.open(root / data["base"]) as image:
    canvas = image.convert("RGBA")
width, height = canvas.size
layers = data["layers"]
orders = [item["z"] for item in layers]
if any(type(z) is not int or z <= 0 for z in orders):
    raise ValueError("Layer order must be a positive integer")
if len(set(orders)) != len(orders):
    raise ValueError("Duplicate layer order")
for item in sorted(layers, key=lambda layer: layer["z"]):
    box = item["box"]
    if len(box) != 4 or any(type(v) is not int for v in box):
        raise ValueError("Expected four integer box coordinates")
    left, top, right, bottom = box
    if not (0 <= left < right <= width and 0 <= top < bottom <= height):
        raise ValueError("Box outside the base image or empty")
    with Image.open(root / item["file"]) as image:
        layer = image.convert("RGBA").resize(
            (right - left, bottom - top), Image.Resampling.LANCZOS
        )
    canvas.alpha_composite(layer, dest=(left, top))
canvas.save(root / "reassembled.png")