APIMODELSAPIMODELS

Muse Video Long-Form & Multi-Clip Prompts

More than 200 Muse Video prompts that creators posted on X after running them in Meta's Muse, each credited to its creator and linked to the original post, with the clip it produced where the post has one. Short prompts, and those whose authors invited reuse, are quoted in full; longer ones are excerpted, and the full text is one click away in the original post.

← All 204 Muse Video prompts

Last updated: · Muse Video API — pricing & playground · API docs

TL;DR

Muse Video is the video model in Meta's Muse AI family. Most prompts on this page were run inside Meta's Muse app, a chat agent that accepts very long prompts and plain instructions such as "turn the images in this post into a video". Through apimodels.app the same model is available as muse-video: text, one first frame or up to four reference images in; a 720p clip of 4 to 20 seconds out, 16:9 or 9:16; prompts up to 4,000 characters; $0.037 per requested second, failed tasks not charged, and not every request succeeds. The prompts are grouped by use: reference-sheet multi-shot cuts, boyfriend POV, selfie and vlog, dance, period pieces, fantasy and CG, long multi-clip scripts and one-liners.

Hover to preview · click for sound

Halloween in 30 seconds, three clips

Excerpt

Muse : Here are the 3 prompts I used for the 30s Halloween video, each clip 10s chained together: Clip 1 (0-10s) - Opening: Minh in a vampire cape + slime in a witch hat walk through the pumpkin-lit village. 25-year-old with short messy black hair, round face, wearing a black vampire cape over white t-shirt, black shorts, blue flip-flops, plastic fangs, holding his old rusty orange pipe wrench, walks with a small cute round blue translucent slime wearing a tiny witch hat ri …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
3 clips · 3 timed beats · 2345 characters in the original post
by @NeonScribe07Source

90s Hong Kong fight scene in 60 seconds

Excerpt

60s 打戏视频 · 分镜与创作提示词(90 年代港片风格) 用途:60 秒打戏为主的动作视频,每 10 秒一个分镜片段,全程打斗持续、双方势均力敌不分高下。 切分规则:60 秒 = 6 个 10s 片段,时间戳从 00:00 连续到 01:00。 剧作基调:动作片节奏(10s 片段 4-6 镜头,每镜头 1.5-2.5 秒,硬桥硬马、快慢交替)。 比例:16:9(电影感横屏;如需 9:16 竖屏可整体切换,动作规划不变)。 声音:默认无台词、无字幕,仅打斗音效 + 《男儿当自强》风格的 90 年代港式动作片配乐(激昂铜管 + 密集战鼓)。 全局风格锚点(所有片段提示词共用的开头限定词) [90 年代香港动作片风格 · 胶片颗粒质感 · 雨夜霓虹 · 硬桥硬马功夫 · 快切与慢镜交替 · 高对比硬光 · 16:9 横屏] …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
sections: 场景 / 分镜 · 5 shots · 7289 characters in the original post
Watch on X
by @jarvis11xSource

29-second interactive iPhone lock screen

Excerpt

iPhone 18 动态锁屏互动视频(29秒)· 完整生成提示词 说明:本站视频管线单次最长生成 10 秒,因此 29 秒成片分三段纯文字生成再拼接。 图片参考链路当时上游 400 不可用,故三段均为纯文字生成,人物身份用文字描述锁定, 三段的人物描述逐字重复。以下为三段实际使用的完整原文。 第一段提示词(lockscreen-t1,0–10 秒) 竖屏9:16,超真实AI动态手机屏保互动视频,模拟一台iPhone 18全屏锁定屏幕录屏,时长10秒,语言中文。 锁定界面UI(全程固定最上层,不变形不闪烁):顶部中央小灵动岛;其下方大号Liquid Glass风格时钟与日期;底部左右各一颗半透明圆形快捷按钮(左手电筒、右相机);最底部细窄Home指示条;状态栏仅保留信号、Wi-Fi与电量。 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
sections: 音频 · 23 timed beats · 3920 characters in the original post
Watch on X
by @7998l201Source

Qipao mahjong in 30 seconds, 8 shots

Excerpt

《旗袍麻将》30秒短片 · 提示词 成片规格:30 秒 / 16:9 横屏 / 8 个分镜 / 暖调复古胶片风 / BGM《相思遥》 1. 一句话需求(给 AI 的总指令) 生成一条 30 秒、16:9 横屏短片:4 位 20 岁出头的中国年轻女子, 穿旗袍(粉/黑金/米白/红)在昏暗复古中式房间里打麻将。 暖黄灯光、35mm 胶片质感、浅景深、氛围慵懒亲密。 8 个镜头约 3.75 秒/个:粉旗袍胸口特写 → 摆牌手部特写 → 粉旗袍手臂中近景 → 粉衣女子垂眸浅笑特写 → 四人全景 → 双人中景 → 门后朦胧远景 → 三人欢笑收尾。 2. 风格母版(每个分镜提示词都要带上这一段,原样复用) Style master(英文,逐字复用): …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
sections: 用法 · 9 timed beats · 3994 characters in the original post
Watch on X
by @jarvis11xSource

Peach Blossom Spring, Chinese animation script

Excerpt

《桃花源记》完整视频脚本 原著:陶渊明《桃花源记》|国风动画短片|建议时长:5~6 分钟 这版采用电影级国风动画 + 故事旁白 + 人物对白的形式,按照陶渊明原文情节改编,适合用可灵、即梦、Runway 等 AI 视频工具分镜制作。 一、视频整体设定 项目设定 视频名称《桃花源记:误入人间仙境》 视频时长约 5 分 30 秒 画面比例16:9 横屏 美术风格中国古风、写意山水、3D 国风动画 故事时代东晋太元年间 核心人物武陵渔夫、桃花源村民、村中老人、太守、刘子骥 配音风格沉稳男声旁白,人物自然对白 配乐古琴、竹笛、箫、流水、鸟鸣 二、完整分镜脚本 以下按 12 个场景拆分,每个场景包含画面、镜头、旁白和对白,可直接用于视频制作。 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
3446 characters in the original post
Watch on X
by @linxiaobei888Source

Nikujaga cooking short in 60 seconds

Excerpt

# 肉じゃがの作り方|ショート動画 構成設計 - 動画の尺_60秒 - 縦型 16:9 - 実写・シネマティック ### 料理解説 完成した肉じゃがの映像で視聴者の興味を引き、材料の準備から調理、盛り付けまでを時系列で紹介する60秒の料理ショート動画。 料理の美しさだけでなく、実際に再現できるように分量・火加減・加熱時間を伝える構成にします。 --- ## 1. 動画の基本方針 - 映像: 実写フォトリアル。温かみのある自然光と清潔なキッチン。 - カメラ: 真上からの俯瞰、手元のクローズアップ、鍋の斜め45度からの撮影を組み合わせる。 - 編集: 基本は2〜4秒ごとのカット。食材投入や盛り付けの動きでカットをつなぐ。 - 音声: 落ち着いた日本語ナレーション+調理音。男性音声,BGMは控えめなアコースティック。 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
3094 characters in the original post
Watch on X
by @old_pgmrs_willSource
Hover to preview · click for sound

Painted Skin, a Liaozhai short

Excerpt

close-up of a beautiful ancient Chinese woman's face, camera pulls back revealing she holds a thin human skin, candlelight, eerie 2(5–12s) 画面:清晨小路上,书生王生遇见一位哭泣的独行女子。 旁白:「书生王生在路上遇见一个逃难的女子,楚楚可怜。」 提示词:young scholar in Ming dynasty robes meets a weeping beautiful woman on a misty country road, dawn 3(12–19s) 画面:王生把女子领回家,藏进书房。 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
11 timed beats · 1934 characters in the original post
by @Lznnn1999Source

Waking up in 2350, sci-fi comedy POV

Excerpt

Muse Video Prompt Format lock: Aspect ratio 3:4 (source 1080x1450, 30 fps; generate at 1080x1440, 30 fps) — the output MUST use exactly this ratio; no cropping, no reframing, no letterbox change. Total runtime: about 59 seconds in 6 clips. A first-person POV sci-fi comedy in photorealistic doll-like CG: a modern young man wakes in the year 2350, in one of humanity's last cities — a place run by beautiful android girls and giant mechs, where men are extinct. …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
blocks: Format lock / Avoid / Identity / Camera · 10 shots · 10938 characters in the original post
Watch on X
by @sandmrkSource
Hover to preview · click for sound

Long downhill skateboard run, 10-second clips stacked

Excerpt

ちょっと改良しました。 より連続したワンショットになりやすいはず…! ✅Muse用プロンプト このキャラがスケートボードで坂を下り続ける動画を、以下の手順で作ってください。 ## 構成(10秒クリップの積み重ね) 1. 導入(最初のクリップ):下る場所と同じ環境で、キャラがボードの上に立ってこちらを向いている画から始める。約1秒顔を見せたら振り向いて漕ぎ出し、下り始める。使うのは顔→振り向き→発進の約2秒だけ。※導入だけ別の景色で始めると、1秒で場面が変わって見えるので必ず同じ環境で作る 2. 残りは全編、真後ろからの追従だけ。正面や横からのカットは入れない 3. 最後も下っている途中で終わる(止まって締めない) ## 開始画と固定 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
996 characters in the original post
by @Kashiko_AIartSource

Giant-object healing daydream

Excerpt

Muse Video Prompt Format lock: Aspect ratio 16:9 (source 3840x2160, 30 fps; generate at 1920x1080, 30 fps) — the output MUST use exactly this 16:9 landscape ratio; no cropping, no reframing, no letterbox change. Total runtime: about 58 seconds in 6 clips. A giant-object healing fantasy in photorealistic CG, shot like a summer daydream: a young woman in pale hanfu drifts through a world where leaves, peaches, grapes and lemons are the size of hills, and she is small among the …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
blocks: Format lock / Avoid / Identity / Camera · 12 shots · 9481 characters in the original post
Watch on X
by @sandmrkSource

Clock-tower city: white-haired fighter

Excerpt

Muse Video Prompt Format lock: Aspect ratio 16:9 (source 1920×1080, 24 fps; generate at 1920×1080, 30 fps) — the output MUST use exactly this 16:9 horizontal ratio; no cropping, no reframing, no letterbox change. Master (include with every clip): Identity blocks (reuse verbatim in every clip): - THE WORKER: a young woman fighter; very long white hair in one huge high ponytail that streams behind her like a banner; heterochromatic eyes — left eye red, right eye teal — and in …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
blocks: Format lock / Master / Avoid / Identity · 6 clips · 16 shots · 10694 characters in the original post
Watch on X
by @sandmrkSource

How to write great Muse Video prompts

  1. 1Lock the person with one reference sheet. The most-copied format here starts from a single composite image: a headshot on the left and a three-view outfit sheet on the right. The prompt points at it section by section (face from the headshot, outfit from the turnaround) and repeats that the face and outfit must not change in any shot. Through the API, send that sheet as a reference image, not as a first frame.
  2. 2Write the body in time steps and cut on the beat. Those prompts describe each shot in 0.3-second steps (weight shift, where each hand is, where the eyes go) and list the cut points, such as 1.80 s, 3.50 s and 5.10 s, against the beats of the music. "She poses" on its own gets you a stiff loop.
  3. 3For POV, make the camera a person. The boyfriend-POV series opens with the same rule in every episode: the camera is his eyes, and he never appears except for a hand or forearm. Then the action in 0–2 s / 2–5 s / 5–8 s / 8–10 s, one line of dialogue, and a handheld 9:16 phone look.
  4. 4Repeat a block for what must not change. The long English prompts open with a format lock (aspect ratio and source resolution) and a Master block that fixes the character and costume word for word and is pasted into every clip. Dance prompts add a tempo lock: the BPM and the timestamp of every downbeat.
  5. 5Ask for the flaws of a phone camera. Selfie and vlog prompts get their realism by asking for handheld shake, focus breathing, noise-reduction smear, platform compression and 720p, and by banning HDR, studio retouching and a face that stays sharp the whole time.
  6. 6Split anything longer than 20 seconds. Several prompts here describe films of 30 seconds to a minute. On the API each request is 4 to 20 seconds and up to 4,000 characters, so split by clip, keep the character block identical in each request, and edit the clips together.
  7. 7One-liners need the app, not the API. Instructions such as "turn the images in this post into a video" or "remake ten videos in the style of this clip" work in the Muse app because the agent opens the link and writes its own prompt. A video API only sees the text you send, so write the shots out.

Prompt formula

Format (aspect ratio, length) + who (locked by a reference image) + scene + light + camera position + shots written in time steps + style + sound + what to avoid

Example: 9:16, 10 seconds, handheld phone selfie. The woman from the reference image, same face, hair and outfit throughout. A quiet bookshop aisle in the late afternoon, warm window light from the left. 0–3 s: she pulls a book from the shelf and glances at the lens. 3–6 s: she lifts it to hide half her face and laughs. 6–10 s: she lowers it, looks straight into the lens and says "Found it." Slight handheld shake, natural skin texture, the soft sound of pages. Avoid: on-screen text, extra fingers, a second person.

Frequently asked questions

What is Muse Video?

Muse Video is the video model in Meta's Muse AI family. Most people use it inside Meta's Muse app, a chat agent: you describe the video, or paste a long prompt, and it produces the clip. Through apimodels.app the same model is available over an API as muse-video, with the limits listed below.

Who wrote these prompts, and why are some of them excerpts?

Each card credits the creator and links to the original post on X. A prompt is quoted in full when its author invited readers to use it, or when it is 600 characters or shorter; longer prompts are quoted from the beginning, word for word, and marked as excerpts, with the full text in the original post. If you wrote one of these prompts and want it removed or the credit corrected, email us or open an issue on the GitHub repository.

Where can I run these prompts?

In Meta's Muse app, where they were written, or through the API on apimodels.app as muse-video: text, one first frame or one to four reference images in; a 720p clip of 4 to 20 seconds out, 16:9 or 9:16. It is billed at $0.037 per requested second (4 seconds $0.148, 10 seconds $0.37, 20 seconds $0.74); failed tasks are not charged, and not every request succeeds. Clips of up to 10 seconds usually take 1 to 2 minutes.

Why does a long prompt from this page fail on the API?

The API takes prompts of up to 4,000 characters and clips of 4 to 20 seconds. Several prompts here are longer than that or describe a 30-second to one-minute film. Split them by clip, keep the character and costume block identical in every request, and edit the clips together.

How do I keep the same person across shots?

Send reference images: one to four photos of the person keep the face, hair and outfit without forcing the clip to start from any of them. A first frame instead makes the clip start from that exact picture. You can send one or the other, not both. The reference-sheet prompts on this page are written for a single composite image with a headshot and a three-view outfit sheet.

Do the one-line instructions work through the API?

No. Instructions such as "turn the images in this post into a video" rely on the Muse app opening the link and writing its own prompt. The API only receives the text and images you send, so write the shots out or use one of the full prompts instead.

Can I use these prompts commercially?

The prompts belong to their authors. Check the original post before reusing one commercially. For clips you generate yourself, check the terms of the service you generate them with.

Run these prompts on apimodels.app

Muse Video is live here alongside 150+ other image, video, audio and language models — one API, one key, pay as you go, with $0.10 of trial credit on sign-up.

This library is open source on GitHub

The whole collection is on GitHub as Markdown and JSON, one page per prompt, with credits and links to the original posts, plus a page to search and copy them. Prompts are quoted in full when the author invited reuse or the prompt is 600 characters or shorter; longer ones are excerpted from the beginning, with the full text in the original post. The videos stay with their creators and are not re-hosted. Our own notes, titles and data are licensed CC BY 4.0. Open an issue to correct a credit or have a prompt removed.

View on GitHub

Other prompt libraries