AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)

ai image combine — AI 图像站，预设了一些场景的 prompt ，不用编写复杂的 prompt 直接使用

bingkunzhao · V2EX

开发了一个识别是否是 AI 生成图片的工具 https://imageaichecker.com/ 上传图片，可以判断是否是 AI 生成的，每天 3 次免费

ImagesArt.ai — 生成完美的AI艺术提示词。使用这个工具为Flux、Midjourney和Stable Diffusion模型生成并优化图像提示词。

zxhywork · V2EX

Muse Image AI Meta Superintelligence Labs 7 月 7 号发布了他们第一个图像模型 Muse Image ，内部代号 Mango 。玩了两天，这个模型有几个点确实有意思： - **Agentic 生成**：出图前先规划布局，需要事实的场景会联网搜，画完自查一轮再交稿，长 prompt 一次过的概率明显高 - **图内文字能看了**：海报标题、图表、甚至可扫的二维码都能直接画进图里，这是大部分生图模型至今糊掉的地方 - **多参考图合成**：从几张照片里分别取人脸、服装、产品、背景，融成一张不违和的图 官方入口在 Meta AI App / meta.ai / Instagram Stories ，国内用着别扭，还得装 App 。我就照着上一个站的路子做了个纯网页版：[museimages.io]( https://museimages.io/)。 产品上砍得很狠，只做图像，三个入口： - [Meta Muse Image 在线生成器]( https://museimages.io/ai-image-generator)

@pengsonal · X

500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead

AI 图像编辑器 — 图像编辑工具套件，集多种功能于一体。从照片质量、放大低分辨率图像、进行创意设计等等

Nano Banana AI — 基于市面上最强的 AI 图像编辑模型 Nano Banana 开发的图片编辑器，用嘴改图、保持角色一致性、控制细节、图片融合

Nano Banana AI — AI 图像生成和编辑工具（免费在线），2-5 秒生成高质量图像，支持文生图和图像编辑

Qwen Image — AI 图像生成

fran-mora · HN

I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

Image Translate AI — AI 图片翻译软件，翻译 70 多种语言的图片文本，专为专业人士，电商商家打造。保持图片原始布局，扩大全球影响力，并简化本地化流程