dreamina-inspiration-search

POST https://jimeng.jianying.com/mweb/v1/get_explore

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Install skill "dreamina-inspiration-search" with this command: npx skills add benzema216/dreamina-claude-skills/benzema216-dreamina-claude-skills-dreamina-inspiration-search

灵感搜索工具

API 端点

POST https://jimeng.jianying.com/mweb/v1/get_explore

Python 示例

import requests import hashlib import time

def generate_sign(uri_path): device_time = int(time.time()) sign_str = f"9e2c|{uri_path[-7:]}|7|5.8.0|{device_time}||11ac" sign = hashlib.md5(sign_str.encode()).hexdigest() return sign, device_time

def inspiration_search(sessionid, keyword="", category_id=11222, offset=0, count=20): uri = "/mweb/v1/get_explore" sign, device_time = generate_sign(uri)

headers = {
    "Content-Type": "application/json",
    "Appid": "513695",
    "Appvr": "5.8.0",
    "Pf": "7",
    "Origin": "https://jimeng.jianying.com",
    "Referer": "https://jimeng.jianying.com",
    "Cookie": f"sessionid={sessionid}",
    "Device-Time": str(device_time),
    "Sign": sign,
    "Sign-Ver": "1"
}

data = {
    "count": count,
    "offset": offset,
    "filter": {
        "work_type_list": ["video", "image", "canvas"]
    },
    "category_id": category_id,
    "feed_refer": "feed_enterauto",
    "image_info": {
        "width": 2048,
        "height": 2048,
        "format": "webp",
        "image_scene_list": [
            {"scene": "smart_crop", "width": 720, "height": 720, "format": "webp", "uniq_key": "smart_crop-w:720-h:720"},
            {"scene": "loss", "width": 720, "height": 720, "format": "webp", "uniq_key": "720"}
        ]
    }
}

if keyword:
    data["keyword"] = keyword

resp = requests.post(
    f"https://jimeng.jianying.com{uri}",
    params={"aid": 513695, "device_platform": "web", "region": "CN", "da_version": "3.3.8"},
    headers=headers,
    json=data
)
return resp.json()

def search_guess(sessionid): uri = "/mweb/search/v1/guess" sign, device_time = generate_sign(uri)

headers = {
    "Content-Type": "application/json",
    "Appid": "513695",
    "Appvr": "5.8.0",
    "Pf": "7",
    "Origin": "https://jimeng.jianying.com",
    "Referer": "https://jimeng.jianying.com",
    "Cookie": f"sessionid={sessionid}",
    "Device-Time": str(device_time),
    "Sign": sign,
    "Sign-Ver": "1"
}

resp = requests.post(
    f"https://jimeng.jianying.com{uri}",
    params={"aid": 513695},
    headers=headers,
    json={"search_channel": "inspiration"}
)
return resp.json()

参数说明

字段 类型 必填 说明

keyword string 否 搜索关键词 (为空时返回推荐内容)

category_id int 否 分类ID,默认 11222

offset int 否 结果偏移量,用于翻页

count int 否 返回数量,默认 20

filter.work_type_list array 否 作品类型过滤 ["video", "image", "canvas"]

搜索建议 API

/mweb/search/v1/guess 返回热门搜索词:

{ "data": { "guess_list": [ {"gid": "0", "word": "毛笔字"}, {"gid": "0", "word": "ip"}, {"gid": "0", "word": "海报制作"} ] } }

Query 构造规则

有图片时

提取:[主体] + [风格] + [核心元素]

  • 错误:类似的图片

  • 正确:摩登上海 陆家嘴 蓝色调 海报

纯文本时

直接提取关键词

Offset 计算规则

条件 A → offset = 上轮offset + count

  • Query 与上轮语义相同

  • 用户说"再找找"、"换一批"、"更多"

  • 新图与上一张图属于同一主题

条件 B → offset = 0

  • Query 语义完全改变

  • 用户说"重新开始"、"重置"

响应结构

{ "ret": "0", "data": { "has_more": true, "next_offset": 20, "item_list": [ { "common_attr": { "id": "xxx", "title": "作品标题", "cover_url": "https://...", "cover_url_map": {"720": "https://..."} }, "author": { "name": "作者名", "avatar_url": "https://..." }, "aigc_image_params": { "text2image_params": { "prompt": "生成时使用的提示词" } } } ] } }

注意

  • 连续搜索时严禁重置 offset 为 0(除非条件B)

  • 关键词重叠度 >80% 时必须递增 offset

  • 使用 next_offset 作为下一页的 offset 值

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