Flatkey Uses Seedance to Generate a 15-Second Multi-Character Dance Video
The author called the Seedance model on Flatkey and generated a 15-second dance video featuring multiple characters in the same frame, with Sam Altman and Dario Amodei dancing side by side; the actual cost was under $0.1. The author shared three Prompt pitfall-avoidance parameters: use absolute positioning to lock down character features to prevent face swapping, unify the choreography rhythm to prevent limbs from melting, use a 35mm wide-angle cinematic lens to keep the characters on the same focal plane, and add a no face morphing constraint. Flatkey's everyday pricing is at least 20% lower than official pricing, failed requests cost $0, and it provides access to 100+ official models.
View original postEveryone stand up!! Open-sourcing my 8-dimensional advanced exclusive AI beauty portrait generation secret formula!! (Including the exclusive top-tier beauty portrait prompts that I, a 10-year veteran portrait photography master, polished with Fable 5.5) Brothers, have you ever wondered why the AI portraits you generate always have a greasy plastic feel and a fake-person vibe? Because you're still using vague adjectives instead of using real photographic physical language to constrain the AI. This AI image generation framework and batch pipeline, distilled across 8 dimensions, can thoroughly push AI visual quality to a top-tier level. Follow this framework and plug in the terms, and the resulting quality is maxed out instantly: 1️⃣ Temperament and tonal mood define the persona: reject vague pretty labels, and anchor the aura with specific class temperament, e.g., 25-year-old East Asian woman, old-money relaxed elegance, editorial fashion portrait. 2️⃣ Fabric drape replaces blunt description: premium feel comes from the weight of physical materials, e.g., raw silk, fitted merino knit, subtle collarbone shadow, tailored silhouette. 3️⃣ Candid micro-expressions eliminate dead-fish eyes: specify the real emotion of the moment to completely say goodbye to stiff posing, e.g., candid moment, soft knowing glance, caught mid-reaction, unaware of the camera. 4️⃣ Cinematic optical lens language: give the image the optical depth of field of a real camera, e.g., 85mm portrait lens, f/1.8 shallow depth of field, subtle film grain, natural optical compression. 5️⃣ Directional lighting sculpts the skin's breathing feel: use side light and rim light to retain real pore texture, e.g., soft diffuse directional light, gentle rim light, authentic skin texture with visible pores and natural highlights. 6️⃣ Soft defocus brings out the subject: the environment must be restrained with depth-of-field layering, e.g., soft morning cafe ambiance, muted warm background bokeh, natural depth. 7️⃣ Restraint and ease lock in the aesthetic floor: reject exaggerated features and heavy makeup, pursue natural and enduring beauty, e.g., classy, effortless beauty, understated luxury, natural proportions. 8️⃣ Industrial-grade negative words build a firewall: forcibly block all kinds of distortion and CGI texture, and lock out no plastic skin, no doll face, no extra limbs, no 3D render look, no over-smoothed texture. With good prompts, how to batch-test at extremely low cost and get the workflow running is the key to continuously growing an account. Opening memberships for different tools everywhere every day not only costs a high monthly fee, but frequently switching between backends also shatters all creative rhythm. The multimodal foundation I've mainly been running recently is Flatkey (1). For people who tinker with multimodal creation and batch image generation every day, it is indeed currently the most worry-free and cost-effective solution: → Official models, lower cost: everyday pricing is at least 20% lower than direct official access, and the most practical part is that failed requests are billed at $0, so multi-round prompt debugging carries no psychological burden at all. → All modalities in one stop: it aggregates 100+ official models—use GPT Image for image generation, Seedance for video, and switch to Claude and GPT for copywriting; one Key handles all steps. → Smooth automated pipeline: through the Flatkey CLI tool, you can directly have Claude Code or Codex automatically call models in batches to mass-produce images and generate videos, fully getting the content pipeline running. → Zero-threshold drop-in replacement for developers: fully compatible with the OpenAI interface specification, existing scripts can migrate seamlessly by changing the request address, with 99.5% stability guaranteed. Parameterize the image-generation aesthetics, then drive down the toolchain cost—only then can self-media account growth truly become deterministic, continuous compounding. The several tested blockbuster cases and complete English Prompts for the accompanying images are compiled in the first floor. Which step do you most often get stuck on when generating images now? Welcome to discuss—I will definitely share without reservation. This is a beauty portrait in the racetrack stands generated with GPT Image on Flatkey, with no post-processing retouching or local redrawing at all, straight out of pure Prompt, with zero plastic mask feel; the light and texture are completely the candid quality of a top-tier telephoto broadcast camera position.
View original
全体起立!!开源我的8 维高级独家AI美女人像生图焚决!!(附本人10年人像写真摄影老法师用Fable 5.5 打磨的独家顶级美女人像提示词) 兄弟们有没有想过,为什么你跑出来的 AI 人像总是一股油腻的塑料感和假人味? 因为你还在用空泛的形容词,而没有用真实的摄影物理语言去约束 AI。 分这套沉淀了 8 个维度的AI生图框架心法与批量流水线,能够彻底把 AI 视觉质感拉到顶级水准, 照着这套框架套词,出来的质感直接拉满: 1️⃣ 气质与影调定人设:拒绝空泛的漂亮标签,用具体阶层气质锚定气场,比如 25-year-old East Asian woman, old-money relaxed elegance, editorial fashion portrait。 2️⃣ 面料垂坠替代直白形容:高级感来自物理材质的重量,比如 raw silk, fitted merino knit, subtle collarbone shadow, tailored silhouette。 3️⃣ 抓拍微表情消除死鱼眼:指定瞬间的真实情绪,彻底告别僵硬摆拍,比如 candid moment, soft knowing glance, caught mid-reaction, unaware of the camera。 4️⃣ 电影级光学镜头语言:让画面拥有真实相机的光学景深,比如 85mm portrait lens, f/1.8 shallow depth of field, subtle film grain, natural optical compression。 5️⃣ 方向性光影雕刻皮肤呼吸感:用侧光和轮廓光保留真实毛孔肌理,比如 soft diffuse directional light, gentle rim light, authentic skin texture with visible pores and natural highlights。 6️⃣ 柔和散焦托出主体:环境必须克制且有景深层次,比如 soft morning cafe ambiance, muted warm background bokeh, natural depth。 7️⃣ 克制松弛卡死审美下限:拒绝夸张五官与过度浓妆,追求自然耐看,比如 classy, effortless beauty, understated luxury, natural proportions。 8️⃣ 工业级负面词筑起防火墙:强行拦截各类变形和 CGI 质感,卡死 no plastic skin, no doll face, no extra limbs, no 3D render look, no over-smoothed texture。 有了好提示词,怎么以极低成本批量测试并跑通工作流,才是持续起号的关键。 天天到处开不同工具会员不仅月费极高,频繁切后台更会打碎所有创作节奏。 我自己最近主力在跑的多模态底座是 Flatkey(1 ),对于天天折腾多模态创作和批量做图的人来说,确实是目前极省心也极划算的解法: → 官方模型,更低开销:每天价格比官方直连低至少 20%,最实用的是失败请求按 0 美元计费,多轮调试提示词完全没有心理负担。 → 全模态一站式搞定:聚合了 100 多个官方模型,生图调 GPT Image,做视频用 Seedance,写文案切 Claude 和 GPT,一个 Key 搞定所有环节。 → 自动化流水线丝滑:通过 Flatkey CLI 工具,可以直接让 Claude Code 或 Codex 自动批量调用模型批量产图和生成视频,把内容流水线彻底跑通。 → 开发者零门槛平替:完全兼容 OpenAI 接口规范,现有脚本改个请求地址就能无缝迁移,带 99.5% 稳定性保障。 把生图审美参数化,再把工具链成本打下来,自媒体起号才能真正变成确定性的持续复利。 配图的几组实测大片案例与完整英文 Prompt 整理在一楼,大家现在生图最常卡在哪个环节?欢迎交流,我一定无保留分享。 这是在 Flatkey 用 GPT Image 跑出来的赛道看台美女人像,没有任何后期修图和局部重绘,纯 Prompt 直出,零塑料假面感,光影肌理完全就是顶级长焦转播机位的抓拍质感。
Body · AI translation
Never thought I'd live to see this!! Who could have imagined that one day we'd see Sam Altman and Dario on the same stage, backup dancing for a beautiful woman?! 🤣 Sharing the video prompt and 3 key Prompt pitfall-avoidance parameters with no reservations—take them and start your account, no excuses! If it doesn't blow up, come hit me!!!
This scene is just too damn surreal hahahaha: The two rival heads of OpenAI and Anthropic, actually in the same 15-second video, dancing backup in perfect unison left and right, with silky-smooth motion throughout and faces that never melt or deform at all!
The most insane part: making such a explosive 15-second continuous short video with high-precision multi-character interaction, calling the Seedance model on Flatkey, actually costs only a few dimes (less than $0.1)!
What gives most people the biggest headache when making multi-character AI videos is: with more people, faces get swapped; the moment limbs move, they melt into aliens; and after dozens of gacha pulls, the cost goes straight to the sky.
Sharing the 3 key Prompt pitfall-avoidance parameters I used to get this "multi-character same-frame dance" video working:
1️⃣ Strongly bind spatial coordinates to character features (the key to preventing face swaps): Never vaguely write "three people dancing"; you must lock features with absolute positions: Center: a stunning glamorous woman in black chic dress; Left: Sam Altman with recognizable features in a classic grey tech sweater; Right: Dario Amodei with glasses in casual blazer. Once the positions are fixed, the model won't mix the two men's faces together.
2️⃣ Synchronize movement beats with gaze dynamics (to prevent limb melting): Specify a unified choreography rhythm, e.g. synchronized rhythmic backup dance movements, mirrored dynamic footwork, fluid torso groove, natural motion physics, so the backup dancers on both sides form a physical rhythmic echo with the main dancer.
3️⃣ Cinematic depth and focal length control: Use 35mm wide cinematic studio shot, medium full shot, warm studio key lighting to bring all three characters into the same focal plane, plus the mandatory constraint no face morphing, consistent individual identity throughout 15 seconds.
This entire video was generated end-to-end on Flatkey (@Flatkey_AI ) using Seedance. With this kind of god-tier foundation, whether you're making serious commercial videos or wild creative stunts, the experience is just fantastic:
🔹 Official models, better prices: no gimmicks of low quality and cheapness—instead, official original model quality at extremely cost-effective prices. Daily use is at least 20% lower than official pricing every day, and generating a 15-second video costs just a few dimes. 🔹 Zero burden for crazy trial and error: the biggest fear in stunts and creativity is burning money on gacha pulls; Flatkey's "failed requests cost $0"—even if the motion occasionally goes off track, not a cent is deducted, so you can let your imagination run wild. 🔹 One-stop multimodal integration: access to 100+ official models, one API Key to handle text, images, and video; you can also use Flatkey CLI with Agents to automate batch video production, with one bill covering the entire workflow.
Once the barrier and compute cost of multi-character same-frame videos are smashed through, the only limit left for AI video is really just your imagination.