圖片編輯 API 參考

curl -X POST "https://api.apiyi.com/v1/images/generations" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux-2-pro",
    "prompt": "自然融合這兩個圖片",
    "input_image": "https://static.apiyi.com/apiyi-logo.png",
    "input_image_2": "https://images.unsplash.com/photo-1762138012600-2ab523f8b35a",
    "seed": 42,
    "output_format": "jpeg"
  }'

curl -X POST "https://api.apiyi.com/v1/images/generations" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux-2-pro",
    "prompt": "The person from image 1 is petting the cat from image 2, the bird from image 3 is next to them",
    "input_image": "https://example.com/person.jpg",
    "input_image_2": "https://example.com/cat.jpg",
    "input_image_3": "https://example.com/bird.jpg",
    "seed": 42,
    "output_format": "jpeg"
  }'

curl -X POST "https://api.apiyi.com/v1/images/generations" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux-kontext-pro",
    "prompt": "Convert this architectural photo into a pencil sketch style, preserve all structural details",
    "input_image": "https://your-oss.example.com/architecture.jpg"
  }'

# 先把本地圖片轉為 base64 data URL（macOS / Linux）
B64=$(base64 -w0 < person.png 2>/dev/null || base64 < person.png | tr -d '\n')

curl -X POST "https://api.apiyi.com/v1/images/generations" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d "$(jq -nc --arg img "data:image/png;base64,$B64" '{
    model: "flux-2-pro",
    prompt: "把圖1風格化為油畫",
    input_image: $img
  }')"

import requests

resp = requests.post(
    "https://api.apiyi.com/v1/images/generations",
    headers={
        "Authorization": "Bearer sk-your-api-key",
        "Content-Type": "application/json",
    },
    json={
        "model": "flux-2-pro",
        "prompt": "自然融合這兩個圖片",
        "input_image": "https://static.apiyi.com/apiyi-logo.png",
        "input_image_2": "https://images.unsplash.com/photo-1762138012600-2ab523f8b35a",
        "seed": 42,
        "output_format": "jpeg",
    },
    timeout=120,
)
image_url = resp.json()["data"][0]["url"]

# data[0].url 僅 10 分鐘有效，立即下載
with open("fused.jpg", "wb") as f:
    f.write(requests.get(image_url, timeout=30).content)

import base64, requests, mimetypes

def to_data_url(path: str) -> str:
    mime = mimetypes.guess_type(path)[0] or "image/png"
    with open(path, "rb") as f:
        b64 = base64.b64encode(f.read()).decode()
    return f"data:{mime};base64,{b64}"

resp = requests.post(
    "https://api.apiyi.com/v1/images/generations",
    headers={
        "Authorization": "Bearer sk-your-api-key",
        "Content-Type": "application/json",
    },
    json={
        "model": "flux-2-pro",
        "prompt": "把圖1人物放進圖2場景",
        "input_image": to_data_url("person.png"),
        "input_image_2": "https://your-oss.example.com/scene.jpg",
    },
    timeout=120,
)
print(resp.json()["data"][0]["url"])

from openai import OpenAI
import requests

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.apiyi.com/v1"
)

# OpenAI SDK 的 images.generate() 走 /v1/images/generations + JSON，
# BFL 原生欄位通過 extra_body 直接拼到 JSON 請求體裡
resp = client.images.generate(
    model="flux-2-pro",
    prompt="自然融合這兩個圖片",
    extra_body={
        "input_image": "https://static.apiyi.com/apiyi-logo.png",
        "input_image_2": "https://images.unsplash.com/photo-1762138012600-2ab523f8b35a",
        "seed": 42,
        "output_format": "jpeg",
    },
)
image_url = resp.data[0].url
with open("fused.jpg", "wb") as f:
    f.write(requests.get(image_url, timeout=30).content)

const resp = await fetch('https://api.apiyi.com/v1/images/generations', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer sk-your-api-key',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify({
        model: 'flux-2-pro',
        prompt: '自然融合這兩個圖片',
        input_image: 'https://static.apiyi.com/apiyi-logo.png',
        input_image_2: 'https://images.unsplash.com/photo-1762138012600-2ab523f8b35a',
        seed: 42,
        output_format: 'jpeg',
    }),
});

const { data } = await resp.json();
const img = await fetch(data[0].url);
const fs = await import('node:fs');
fs.writeFileSync('fused.jpg', Buffer.from(await img.arrayBuffer()));

curl -X POST "https://api.apiyi.com/v1/images/edits" \
  -H "Authorization: Bearer sk-your-api-key" \
  -F "model=flux-kontext-max" \
  -F "prompt=換一套時裝" \
  -F "aspect_ratio=16:9" \
  -F "[email protected]"

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.apiyi.com/v1",
)

result = client.images.edit(
    model="flux-kontext-max",
    image=open("input.jpg", "rb"),
    prompt="換一套時裝",
    extra_body={"aspect_ratio": "16:9"},  # FLUX 特有引數通過 extra_body 傳遞
)
print(result.data[0].url)

const form = new FormData();
form.append('model', 'flux-kontext-max');
form.append('prompt', '換一套時裝');
form.append('aspect_ratio', '16:9');
form.append('image', imageBlob, 'input.jpg'); // 瀏覽器 Blob 或 Node 的 fs.openAsBlob()

const resp = await fetch('https://api.apiyi.com/v1/images/edits', {
    method: 'POST',
    headers: { 'Authorization': 'Bearer sk-your-api-key' },
    // 注意：不要手動設定 Content-Type，讓執行時自動生成 multipart boundary
    body: form,
});
const data = await resp.json();
console.log(data.data[0].url);

{
    "created": 1776832476,
    "data": [
        {
            "url": "https://delivery-eu.bfl.ai/results/xxx/sample.jpeg?signature=..."
        }
    ]
}