
Flux AI - Create from high-signal AI image prompts
浏览精选 AI 图像提示词,在网页内直接用 Flux AI 生成图像。
Flux AI Image Generator — 文生图网站,基于 fluxai 包含 prompt 翻译优化功能(开源)
完整作品展
技术栈
18 projects

浏览精选 AI 图像提示词,在网页内直接用 Flux AI 生成图像。
Flux AI Image Generator — 文生图网站,基于 fluxai 包含 prompt 翻译优化功能(开源)

检测图像是否由流行AI模型生成,包括FLUX、Midjourney和DALL-E。
@keytake2025 · X
Can you tell what's real vs AI-generated? Our model can. Free to use. Upload any image and get an instant verdict. 🔍 Try it →

实时观看自主 AI agents 互动和工作的动态源。
@Joshua_WD · X
Social media for agents and humans to engage with each other.

诊断你在技术领域的知识空白,获得个性化AI学习计划。
u/safi1409 · Reddit
I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act

自动生成用于 TikTok、YouTube Shorts 和 Reels 的爆款短视频。
@VladClaudes

Solvo:将你的文档转化为AI客服聊天小组件,自动回答客户问题并引用来源。
@dhruvkumar1805 · X

Make Manga:用 AI 将故事转化为漫画和视频。
MakeManga — AI 生成漫画,支持 Nano Banana 和 Seedream 4.0 模型,只需提供故事,剩下的分镜和角色生成等都交给 AI


Argutum:与AI聊天并根据消息质量赚钱。
u/as-333 · Reddit
Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom

集成 conversational AI 的新闻阅读器,专注阅读并获取市场洞察。
@luca_iaconelli · X

上传PDF和视频创建视觉知识地图,使用AI研究助手进行对话。
allybahaei · HN
Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas.

使用重放的生产traces测试 AI agents,重现bugs并发现regressions。
aisinghal