
#1 AI World Generator | Real-Time Interactive Worlds
用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站
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用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站


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

创建具有 Star Trek 主题的自定义 link-in-bio 页面和 vanity URL
@Dorkamada · X
-> a trek themed link-in-bio page for Trekkies!


自动QA智能体测试网页和移动应用,发现流程和漏洞,重放测试场景。
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.


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

创建和繁衍神话实体,观察它们通过遗传法则进化。
@epcccc314 · X
受启发于希腊神话中的Eros 我基于哈希码和简化的遗传原理做了一个用来记录随便的神话故事和繁衍历史的网站,可以随意的创造,繁衍,以及让存在消亡或者复活,这些都在记述者的笔下和众口之中。所有都建立在哈希值之上命定之物,只有记述是任意的。欢迎大家来玩儿~

Leveraging the Bittensor ecosystem, Vidaio provides scalable, affordable, and high-quality video processing solutions.
@vidaio_ · X
Ai driven, video enhancement!

用Loomnox AI将照片转换为Y2K恐怖、复古和电影恐怖风格。
aighostface.org — Ghostface AI 生成器,将照片转换为 90 年代恐怖风格

ARGUS:为AI代理流程的可观测性平台,检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents