TokenFlashTokenFlash
Api referenceImagesWan2.7 image

wan2.7 图片生成与编辑

  • 万相 2.7 图像系列,支持文生图、图生图(编辑)、交互式编辑、组图生成与多图参考
  • 异步处理模式,提交后返回 task_id,需轮询查询接口获取结果
  • 支持 1K / 2K / 4K 分辨率,wan2.7-image-pro 文生图最高支持 4K
  • 计费按成功生成的图片张数计算,与分辨率和宽高比无关
curl --request POST \
  --url https://tokenflash.cn/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "wan2.7-image-pro",
    "prompt": "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
  }'
import requests

url = "https://tokenflash.cn/v1/images/generations"

payload = {
    "model": "wan2.7-image-pro",
    "prompt": "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
const url = "https://tokenflash.cn/v1/images/generations";

const payload = {
  model: "wan2.7-image-pro",
  prompt: "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://tokenflash.cn/v1/images/generations"

    payload := map[string]interface{}{
        "model":  "wan2.7-image-pro",
        "prompt": "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵",
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;

public class Main {
    public static void main(String[] args) throws Exception {
        String url = "https://tokenflash.cn/v1/images/generations";

        String payload = """
        {
          "model": "wan2.7-image-pro",
          "prompt": "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
        }
        """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create(url))
            .header("Authorization", "Bearer <token>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(payload))
            .build();

        HttpResponse<String> response = client.send(request,
            HttpResponse.BodyHandlers.ofString());

        System.out.println(response.body());
    }
}
<?php

$url = "https://tokenflash.cn/v1/images/generations";

$payload = [
    "model" => "wan2.7-image-pro",
    "prompt" => "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>
require 'net/http'
require 'json'
require 'uri'

url = URI("https://tokenflash.cn/v1/images/generations")

payload = {
  model: "wan2.7-image-pro",
  prompt: "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
}

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 = payload.to_json

response = http.request(request)
puts response.body
import Foundation

let url = URL(string: "https://tokenflash.cn/v1/images/generations")!

let payload: [String: Any] = [
    "model": "wan2.7-image-pro",
    "prompt": "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let error = error { print("Error: \(error)"); return }
    if let data = data, let str = String(data: data, encoding: .utf8) { print(str) }
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        var payload = @"{
            ""model"": ""wan2.7-image-pro"",
            ""prompt"": ""一间有着精致窗户的花店,漂亮的木质门,摆放着花朵""
        }";

        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

        var content = new StringContent(payload, Encoding.UTF8, "application/json");
        var response = await client.PostAsync(
            "https://tokenflash.cn/v1/images/generations", content);
        Console.WriteLine(await response.Content.ReadAsStringAsync());
    }
}
{
  "code": "success",
  "message": "",
  "data": [
    {
      "task_id": "task_01HX...",
      "status": "processing"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "请求参数无效",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "身份验证失败,请检查您的API密钥",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "账户余额不足,请充值后再试",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 429,
    "message": "请求过于频繁,请稍后再试",
    "type": "rate_limit_error"
  }
}
{
  "error": {
    "code": 500,
    "message": "服务器内部错误,请稍后重试",
    "type": "server_error"
  }
}

Authorizations

string required

所有接口均需要使用 Bearer Token 进行认证

访问 API Key 管理页面 获取您的 API Key,并在请求头中添加:

Authorization: Bearer YOUR_API_KEY

可用模型

模型名称简介文生图最高分辨率图像编辑/组图最高分辨率单价
wan2.7-image-pro专业版,细节更好,支持 4K4K2K¥0.50 / 张
wan2.7-image标准版,速度更快2K2K¥0.20 / 张

注意

计费按成功生成的图片张数 × 单价计算,输入不计费,与分辨率和宽高比无关。失败请求不扣费。

Body

string required

图像生成模型名称

可选值:

  • wan2.7-image-pro — 专业版,文生图最高 4K
  • wan2.7-image — 标准版,速度更快,最高 2K
string

图像内容的文字描述,最长 5000 字符

  • 文生图模式(不传 image_urls):必填
  • 图像编辑模式(传入 image_urls):可选,建议填写以指导编辑效果

示例:"一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"

array<string>

输入图片 URL 数组,用于图像编辑、多图参考等场景

传入后自动进入图像编辑模式

支持格式: HTTP / HTTPS 图片链接;data:image/...;base64,... Base64 格式

限制: 最多 9 张;格式 JPEG / PNG / WEBP / BMP;尺寸 240–8000 px,宽高比 1:8 ~ 8:1;单张 ≤ 20MB

注意

传入图片后,输出宽高比自动与最后一张输入图片保持一致。图像编辑模式最高支持 2K,不支持 4K。

integer

生成图像数量

  • 非组图模式:1–4(默认 1)
  • 组图模式enable_sequential: true):1–12(默认 1)

注意

按成功生成的张数计费,会根据 n 进行预扣费。
string

输出分辨率或宽高比,支持三种格式:

① 档位关键字(推荐): 1K / 2K(默认)/ 4K(仅 wan2.7-image-pro 文生图)

② 宽高比: 1:1 / 16:9 / 9:16 / 4:3 / 3:4 / 3:2 / 2:3(默认按 2K 换算)

③ 像素值: 1024x10241024*1024

string

分辨率档位关键字:1K / 2K / 4K,可与 size(宽高比)配合使用。

模型场景支持档位像素范围
wan2.7-image-pro文生图(非组图)1K / 2K / 4K768×768 ~ 4096×4096
wan2.7-image-pro图像编辑 / 组图1K / 2K768×768 ~ 2048×2048
wan2.7-image所有场景1K / 2K768×768 ~ 2048×2048
string

反向提示词,描述不希望出现在图片中的内容

示例:"模糊、变形、低质量"

boolean

是否在图片右下角添加 "AI 生成" 水印

integer

随机种子,范围 0–2147483647。相同种子在相同参数下可生成风格近似稳定的结果。

boolean

是否开启思考模式。开启后模型增强推理能力,提升画面质量,但耗时增加。

注意

仅在非组图模式无图片输入时生效。
boolean

是否启用组图模式,一次生成多张内容连贯、风格一致的图片,适合连环画、分镜等场景。

  • 开启后 n 上限为 12
  • 组图模式下 thinking_modecolor_palette 不生效
  • wan2.7-image-pro 组图模式最高 2K,不支持 4K
array

交互式编辑框选区域,用于精确指定编辑或插入位置

结构: [[[x1, y1, x2, y2], ...], ...]

  • 外层数组长度必须等于 image_urls 长度
  • 无需框选的图片传 [] 占位
  • 单张图片最多 2 个框;坐标为原图绝对像素值,左上角为 (0, 0)

示例:[[], [[989, 515, 1138, 681]]]

array<object>

自定义颜色主题,仅非组图模式可用

  • 3–10 项,建议 8 项;每项包含 hex(颜色值)和 ratio(占比)
  • 所有 ratio 之和必须等于 100.00%
[
  { "hex": "#C2D1E6", "ratio": "23.51%" },
  { "hex": "#636574", "ratio": "76.49%" }
]

Response

code string

响应状态,成功时为 "success"

data array

示例

文生图(最简请求)

{
  "model": "wan2.7-image-pro",
  "prompt": "一间有着精致窗户的花店,漂亮的木质门,摆放着花朵"
}

文生图(指定分辨率)

{
  "model": "wan2.7-image-pro",
  "prompt": "夏日海滩,蓝天白云,4K 高清",
  "size": "4K",
  "thinking_mode": true
}

文生图(自定义颜色主题)

{
  "model": "wan2.7-image-pro",
  "prompt": "极简风格的现代客厅",
  "size": "2K",
  "color_palette": [
    { "hex": "#C2D1E6", "ratio": "23.51%" },
    { "hex": "#CDD8E9", "ratio": "20.13%" },
    { "hex": "#B5C8DB", "ratio": "15.88%" },
    { "hex": "#C0B5B4", "ratio": "13.27%" },
    { "hex": "#DAE0EC", "ratio": "10.11%" },
    { "hex": "#636574", "ratio": "8.93%" },
    { "hex": "#CACAD2", "ratio": "5.55%" },
    { "hex": "#CBD4E4", "ratio": "2.62%" }
  ]
}

组图生成

{
  "model": "wan2.7-image-pro",
  "prompt": "电影感组图:同一只流浪橘猫,前后特征必须一致。第一张春天樱花树下,第二张夏天老街树荫,第三张秋天落叶满地,第四张冬天雪地脚印。",
  "enable_sequential": true,
  "n": 4,
  "size": "2K"
}

单图编辑

{
  "model": "wan2.7-image",
  "prompt": "把背景换成日落场景,整体偏暖色调",
  "image_urls": ["https://example.com/portrait.jpg"],
  "size": "2K"
}

多图参考 / 元素融合

{
  "model": "wan2.7-image-pro",
  "prompt": "把图2的涂鸦喷绘在图1的汽车上",
  "image_urls": [
    "https://example.com/car.webp",
    "https://example.com/paint.webp"
  ],
  "size": "2K"
}

交互式编辑(框选区域)

通过 bbox_list 精确指定编辑位置,与 image_urls 一一对应,无需框选的图片传 []

{
  "model": "wan2.7-image-pro",
  "prompt": "把图1的闹钟放在图2的框选位置,保持场景和光线融合自然",
  "image_urls": [
    "https://example.com/clock.webp",
    "https://example.com/desk.webp"
  ],
  "bbox_list": [
    [],
    [[989, 515, 1138, 681]]
  ],
  "size": "2K"
}

注意

查询任务结果

图像生成为异步任务,提交后返回 task_id,请使用 获取任务状态 接口轮询直到 status == completed

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