curl --request POST \
--url https://api.apiyi.com/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "flux-2-pro",
"prompt": "自然融合这两个图片",
"input_image": "https://static.apiyi.com/apiyi-logo.png"
}
'import requests
url = "https://api.apiyi.com/v1/images/generations"
payload = {
"model": "flux-2-pro",
"prompt": "自然融合这两个图片",
"input_image": "https://static.apiyi.com/apiyi-logo.png"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'flux-2-pro',
prompt: '自然融合这两个图片',
input_image: 'https://static.apiyi.com/apiyi-logo.png'
})
};
fetch('https://api.apiyi.com/v1/images/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.apiyi.com/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'flux-2-pro',
'prompt' => '自然融合这两个图片',
'input_image' => 'https://static.apiyi.com/apiyi-logo.png'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.apiyi.com/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"flux-2-pro\",\n \"prompt\": \"自然融合这两个图片\",\n \"input_image\": \"https://static.apiyi.com/apiyi-logo.png\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.apiyi.com/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"flux-2-pro\",\n \"prompt\": \"自然融合这两个图片\",\n \"input_image\": \"https://static.apiyi.com/apiyi-logo.png\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.apiyi.com/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"flux-2-pro\",\n \"prompt\": \"自然融合这两个图片\",\n \"input_image\": \"https://static.apiyi.com/apiyi-logo.png\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1776832476,
"data": [
{
"url": "https://delivery-eu.bfl.ai/results/xxx/sample.jpeg?signature=..."
}
]
}图片编辑 API 参考
FLUX 图片编辑 API 参考与在线调试 — 上传参考图(最多 8 张)+ 指令进行单图改图、多图融合,FLUX.2 全系列 + FLUX.1 Kontext 通用
curl --request POST \
--url https://api.apiyi.com/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "flux-2-pro",
"prompt": "自然融合这两个图片",
"input_image": "https://static.apiyi.com/apiyi-logo.png"
}
'import requests
url = "https://api.apiyi.com/v1/images/generations"
payload = {
"model": "flux-2-pro",
"prompt": "自然融合这两个图片",
"input_image": "https://static.apiyi.com/apiyi-logo.png"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'flux-2-pro',
prompt: '自然融合这两个图片',
input_image: 'https://static.apiyi.com/apiyi-logo.png'
})
};
fetch('https://api.apiyi.com/v1/images/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.apiyi.com/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'flux-2-pro',
'prompt' => '自然融合这两个图片',
'input_image' => 'https://static.apiyi.com/apiyi-logo.png'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.apiyi.com/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"flux-2-pro\",\n \"prompt\": \"自然融合这两个图片\",\n \"input_image\": \"https://static.apiyi.com/apiyi-logo.png\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.apiyi.com/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"flux-2-pro\",\n \"prompt\": \"自然融合这两个图片\",\n \"input_image\": \"https://static.apiyi.com/apiyi-logo.png\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.apiyi.com/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"flux-2-pro\",\n \"prompt\": \"自然融合这两个图片\",\n \"input_image\": \"https://static.apiyi.com/apiyi-logo.png\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1776832476,
"data": [
{
"url": "https://delivery-eu.bfl.ai/results/xxx/sample.jpeg?signature=..."
}
]
}Bearer sk-xxx),把参考图的公网 URL 填到 input_image,多图融合继续填 input_image_2 … input_image_8,然后填 prompt、model 一键发送即可。Playground 只支持 URL 输入;如需用 base64 data URL,请复制下方代码示例到本地调试。- 方式 A(本页 Playground,推荐):JSON +
input_image发/v1/images/generations(与文生图共用端点,传入input_image即触发编辑模式),适用全部 FLUX 模型(含 Kontext,已实测),支持多图融合(input_image_2~input_image_8) - 方式 B:OpenAI 兼容 multipart 端点
/v1/images/edits(见下方「方式 B」章节),单图编辑,与 OpenAI SDK 的client.images.edit()直接兼容
- 端点路径:
/v1/images/generations(与文生图共用;另有 OpenAI 兼容的/v1/images/edits单图编辑端点,见方式 B) - Content-Type:
application/json(方式 B 的/edits端点则为multipart/form-data) - 所有参考图字段是字符串:
input_image/input_image_2…input_image_8,值为公网 URL(推荐)或data:image/...;base64,xxxdata URL - 多图上限因模型而异:FLUX.2 [pro/max/flex] 最多 8 张,FLUX.2 [klein] 最多 4 张,FLUX.1 Kontext 系列原生只支持 1 张
- 单张参考图 ≤ 20MB 或 20MP,格式
png/jpg/webp - 输入分辨率:最小 64×64,最大 4MP;dimensions 必须是 16 的倍数
- 结果 URL 仅 10 分钟有效 —
data[0].url必须立即下载 - 不传
aspect_ratio时,输出尺寸自动匹配第一张输入图
input_image / input_image_2 / input_image_3 … 的编号 就是 prompt 中「image 1 / image 2 / image 3」的引用依据。建议在 prompt 中显式指代,例如:Place the person from image 1 into the scene from image 2, applying the color palette of image 3.每张图必须为可公网访问的 URL(推荐 ≤ 20MB),或
data:image/png;base64,xxx 格式 base64 data URL。代码示例
cURL(双图融合 · URL)
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": "自然融合这两个图片",
"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(三图融合 · URL)
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(单图编辑 · Kontext)
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"
}'
cURL(本地文件 · base64 data URL)
# 先把本地图片转为 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: "把图1风格化为油画",
input_image: $img
}')"
Python(requests · 双图融合)
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": "自然融合这两个图片",
"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 仅 10 分钟有效,立即下载
with open("fused.jpg", "wb") as f:
f.write(requests.get(image_url, timeout=30).content)
Python(requests · 本地文件 base64)
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": "把图1人物放进图2场景",
"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"])
Python(OpenAI SDK · extra_body 注入 input_image)
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 原生字段通过 extra_body 直接拼到 JSON 请求体里
resp = client.images.generate(
model="flux-2-pro",
prompt="自然融合这两个图片",
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)
Node.js(fetch · 多图融合)
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: '自然融合这两个图片',
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()));
方式 B:OpenAI 兼容编辑端点(multipart)
除上述 JSON 方式外,FLUX 图片编辑也支持 OpenAI Images API 的标准编辑端点,与client.images.edit() 直接兼容(2026-07-04 实测 flux-kontext-max 成功出图):
- 端点:
POST https://api.apiyi.com/v1/images/edits - Content-Type:
multipart/form-data(使用 SDK 或 curl-F时自动设置,不要手动指定,否则 boundary 丢失会导致解析失败)
input_image ~ input_image_8)。方式 B 目前已实测 Kontext 系列可用。请求参数(form 字段)
| 字段 | 类型 | 必填 | 说明 |
|---|---|---|---|
model | string | ✓ | 如 flux-kontext-max / flux-kontext-pro |
prompt | string | ✓ | 编辑指令 |
image | file | ✓ | 原图二进制文件(png/jpg/webp,≤ 20MB)。字段名必须是 image,缺失时返回 image is required |
aspect_ratio | string | ✗ | 如 1:1 / 16:9,form 顶层字段直接传;OpenAI SDK 用户通过 extra_body 传入 |
safety_tolerance | integer | ✗ | 0(最严)– 6(最宽松) |
cURL 示例
curl -X POST "https://api.apiyi.com/v1/images/edits" \
-H "Authorization: Bearer sk-your-api-key" \
-F "model=flux-kontext-max" \
-F "prompt=换一套时装" \
-F "aspect_ratio=16:9" \
-F "image=@input.jpg"
Python(OpenAI SDK)示例
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="换一套时装",
extra_body={"aspect_ratio": "16:9"}, # FLUX 特有参数通过 extra_body 传递
)
print(result.data[0].url)
Node.js(fetch + FormData)示例
const form = new FormData();
form.append('model', 'flux-kontext-max');
form.append('prompt', '换一套时装');
form.append('aspect_ratio', '16:9');
form.append('image', imageBlob, 'input.jpg'); // 浏览器 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:不要手动设置 Content-Type,让运行时自动生成 multipart boundary
body: form,
});
const data = await resp.json();
console.log(data.data[0].url);
data[0].url,BFL 签名 URL 10 分钟有效,生产环境请服务端转存)。
两种方式如何选?
方式 A(JSON input_image) | 方式 B(multipart /edits) | |
|---|---|---|
| 适合 | 直接发 HTTP / 前端应用 / 多图融合 | 已有 OpenAI SDK 代码、client.images.edit() 迁移 |
| 多图 | 支持(flux-2 最多 8 张) | 仅单图 |
| 图片形式 | 公网 URL 或 base64 data URL | 二进制文件 |
参数说明速查
| 字段 | 类型 | 必填 | 默认 | 说明 |
|---|---|---|---|---|
model | string | 是 | — | FLUX 模型 ID,多图融合推荐 flux-2-pro / flux-2-max,单图改图也可用 flux-kontext-max / flux-kontext-pro |
prompt | string | 是 | — | 编辑 / 融合指令,最长 32K tokens;多图场景用「image 1 / image 2 / image 3」指代 image / input_image_2 / input_image_3 顺序 |
input_image | string | 是 | — | 参考图 1。公网 URL(推荐)或 data:image/...;base64,xxx data URL |
input_image_2 ~ input_image_8 | string | 否 | — | 第 2–8 张参考图,URL 或 data URL。FLUX.2 [pro/max/flex] 最多 8 张,[klein] 4 张,Kontext 不支持 |
aspect_ratio | string | 否 | 跟随首图 | 例如 1:1 / 16:9 / 9:16 / 4:3 / 3:2 |
seed | integer | 否 | 随机 | 固定可复现 |
safety_tolerance | integer | 否 | 2 | 0(最严)– 6(最宽松) |
output_format | string | 否 | jpeg | jpeg / png |
prompt_upsampling | boolean | 否 | false | 是否自动扩写 prompt |
steps | integer | 否 | 50 | 仅 flux-2-flex,最大 50 |
guidance | number | 否 | 4.5 | 仅 flux-2-flex,1.5–10 |
多图融合策略
角色一致性(最多 8 张)
角色一致性(最多 8 张)
Eight consistent characters from the reference images,
in a fashion editorial set on a Tokyo rooftop at golden hour
风格迁移
风格迁移
Using the style of image 2, render the subject from image 1
对象组合
对象组合
The person from image 1 is petting the cat from image 2,
the bird from image 3 is next to them
服装/产品换样
服装/产品换样
Replace the top of the person in image 1 with the one from image 2,
keep the pose and background unchanged
data[0].url 重新下载后作为下一次 input_image 输入,配合新指令逐步精调画面。每轮按张数计费。响应格式
{
"created": 1776832476,
"data": [
{
"url": "https://delivery-eu.bfl.ai/results/xxx/sample.jpeg?signature=..."
}
]
}
data[0].url 仅 10 分钟有效- URL 托管在
delivery-eu.bfl.ai/delivery-us.bfl.ai,签名 10 分钟过期 - 不开启 CORS,浏览器
fetch会被拦 - 生产服务必须服务端代下载到自有 OSS / CDN
- FLUX 编辑端点不返回
b64_json,仅返回 url
常见问题
报错 image is required (shell_api_error) 是什么原因?
报错 image is required (shell_api_error) 是什么原因?
/v1/images/edits 编辑端点(方式 B),但网关在请求体里找不到图片。常见原因:- multipart 表单里没有
image文件字段,或字段名写错(如image[]、file) - 手动设置了
Content-Type: multipart/form-data但没带 boundary(用 SDK / fetch / curl 时不要手动设置该头) - 客户端图片转换失败后仍发出了请求(检查
image字段的实际字节数是否大于 0) - 想用 JSON 方式传图却发到了
/edits端点——JSON +input_image请发/v1/images/generations(方式 A)
授权
在 API易控制台获取的 API Key
请求体
FLUX 模型 ID。多图融合推荐 flux-2-pro / flux-2-max;单图改图也可用 flux-kontext-max / flux-kontext-pro
flux-2-pro, flux-2-max, flux-2-flex, flux-2-klein-9b, flux-2-klein-4b, flux-kontext-max, flux-kontext-pro 编辑/融合指令。多图场景用「image 1 / image 2 / image 3」指代 input_image / input_image_2 / input_image_3 顺序
"自然融合这两个图片"
参考图 1 的公网 URL(必填)。Playground 直接填 URL;本地代码调试也可传 data:image/png;base64,xxx 形式的 base64 data URL
"https://static.apiyi.com/apiyi-logo.png"
参考图 2 的公网 URL(可选)
参考图 3 的公网 URL(可选)
参考图 4 的公网 URL(可选)
参考图 5 的公网 URL(可选)
参考图 6 的公网 URL(可选)
参考图 7 的公网 URL(可选)
参考图 8 的公网 URL(可选,仅 FLUX.2 [pro/max/flex] 支持到 8 张)
宽高比,例如 1:1 / 16:9 / 9:16 / 4:3 / 3:4。不传则跟随首张输入图
固定可复现
审核档位。0 最严格,6 最宽松,默认 2
0 <= x <= 6输出格式,默认 jpeg
jpeg, png 是否自动扩写 prompt,默认 false
仅 flux-2-flex。推理步数,默认 50
1 <= x <= 50仅 flux-2-flex。引导强度,默认 4.5
1.5 <= x <= 10此页面对您有帮助吗?