
FLUX AI Online Free, AI Image, AI Video | fluxaiart
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
完整作品展
技术栈
34 projects

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

Generate AI images, videos, and audio with the best AI models — Kling, Veo, Seedance, Nano Banana, ElevenLabs, and more. All in one platform. No skills needed. Try free.
@sashakeyo · X

使用 GPT Image 2,通过文本提示生成和编辑图像。
GPT Image 2 — AI 图片生成工具,支持快速生成高质量图片,适合用于设计灵感、内容创作、社交媒体配图等场景。

一键生成多个 AI 模型的图片,方便对比效果。
ShotAI — 一键生成多个 AI 模型的图片,方便对比效果

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)

Zilivo AI:用文本提示和参考图像创建专业 AI 图像和视频。
Zilivo AI — AI 图片和视频创作平台


探索精选AI图像提示词库,包含模型适配指南和参考图像指导。
u/cankirkgoz · Reddit
I kept rewriting AI portrait prompts for every reference photo, so I built a tool for it Over the past few months, I’ve been experimenting a lot with realistic AI portraits, and I kept running into the same problem. Finding a good-looking result online is easy. Finding the prompt behind it is harder, but still possible. The real problem starts when you try to use that prompt with your own reference photo. Change the person, outfit, location, or number of people, and the pr

用 AI 创作多模态内容的对话式创意画布。
BananaCanvas AI — 前沿的创意工作区,结合了基于对话的 AI 交互和无限画布,用于多模态内容创作。

自主AI研究引擎,根据提示词生成带真实引用的完整学术论文。
@fedeponte1 · X
my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell