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23 projects


用AI从文本或图像生成电影级视频。
happyhorseai.pro — AI Video Generator for Text to Video and Image to Video

输入主题,AI在一分钟内生成完整的纪录片视频。
pw · HN
Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running

使用参考视频的动作将静态图像转换为动画。
Kling Motion Control — AI Motion Transfer with Kling 3.0

生成AI图像和视频,或浏览社区作品。
@listudio · X
Fable 5 规划+Codex 执行,效率真的很 ok。一个周末上线了两个工具网站。麻了。。 👉: 和

用 Apatero Studio 生成 AI 图像、视频和音频。
@gabeciii · X

Flux AI 免费生成编辑 AI 图像和视频
FLUX AI ART — 基于 Flux 的图像生成网站

创建精美的 screenshots 和 progress cards,准备好与您的受众分享。
@shreyassihasane · X

免费图形设计和动画工具,支持AI文生图和图生图功能。
Canvave — 简单图形设计和动画制作平台。无须专业技能也能做出任意尺寸的精美设计;最高支持图片 3x 或动画 240 FPS 导出;内置基于 Flux 的 AI 文生图、图生图;适合电商卖家、广告设计、社媒运营、独立开发等有设计需求的群体

Deep Nostalgia AI 将老照片转为生动视频,保留珍贵回忆。
Deep Nostalgia AI — 借助人工智能照片动画,将家庭照片转变为引人入胜的动画视频,为珍贵的回忆注入活力的网站

在伦敦画廊拍摄艺术作品,获取AI识别、音频导览和博物馆信息。
victords · HN
I was interested in learning more about reverse image search, so I built audioguide.london. It’s a simple image search where you take a photo of an artwork in a gallery, tries to ID it and returns a pre-generated audio and a link to the museum website. The audios were all generated locally, essentially looking at the contents of the website, running it through a LLM to generate a script and Kokoro for TTS. I’ve built it as an app for myself almost a year ago, so I deployed it as a vibe coded web