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28+ Muse Video Selfie & Vlog Prompts

28+ 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.

Friday morning in old Beijing, home-video style

Excerpt

制作一段 30 秒超写实的个人家庭录像风格视频,内容是一位年轻中国女性在北京老城区老住宅区度过一个轻松愉快的周五早晨。 使用所附图片作为人物参考,并确保她的 面部特征、黑色长发凌乱侧马尾、淡蓝色修身上衣、宽松米白色长裤、黑色运动鞋、银色项链以及整体外貌 从头到尾完全一致。 她面带轻松愉快的笑容走出家门,悠闲地走在安静的社区街道上。 她来到附近一个 户外公共水龙头 前停下来,用清凉的自来水拍洗自己的脸。她用双手擦去脸上的水,微笑了一下,然后继续往前走。 随后,她来到一家小型社区商店,给自己买了一根 色彩鲜艳的棒棒糖。她马上拆开包装,把棒棒糖放进嘴里,一边开心地吃着糖,一边沿着街道继续散步。 几个背着书包的学生从她身边经过。她微笑着向他们挥手,并在他们经过时自然地说: …

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781 characters in the original post
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by @DangcingAISource

Wet hair at the bathroom door

Excerpt

基于参考图中的年轻成年东方女性、湿发、浅灰紫色吊带修身短裙、肩上搭着浅色毛巾、浴室门口与卧室走廊环境,保持人物长相、身材比例、服装、湿发状态和室内布局高度一致,脸部皮肤光滑细腻、肤色均匀、无痘痘瑕疵,保留真实皮肤纹理。 真实 iPhone 手机随手拍摄质感,竖屏构图,像洗完澡后被身边的人随手记录下来的生活瞬间。 0–3 秒: 她刚从浴室走出来,停在门框旁,头发湿润凌乱,发梢仍有少量水珠。她微微侧头看向画面左侧,一只手自然抬起,从耳后轻轻拨开湿发。肩上的毛巾随着动作轻微滑动,胸口和锁骨附近残留的细小水珠在室内暖光下自然反光。 3–6 秒: 她像听见镜头这边有人叫她,眼神缓慢从侧面移向镜头,动作有非常轻微的停顿。嘴角出现一点若有若无的笑意,然后她嘴唇轻动,用放松、带点亲昵抱怨的普通话语气说出"怎么才回来呀",口型与声音自然同步,语速自然,不要字幕。另一只手保持放松垂在身侧。 …

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sections: 光线 · 4 timed beats · 863 characters in the original post
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by @goan999999Source

Wet hair, pink slip dress, warm version

Excerpt

竖屏 9:16,10 秒。人物:年轻成年东方女性,湿发(头发湿润凌乱,发梢有少量水珠),穿浅粉色吊带丝缎修身短裙(正常不透的丝缎面料,得体),肩上不搭毛巾;脸部皮肤光滑细腻、肤色均匀、无痘痘瑕疵,保留真实皮肤纹理。环境:温馨的浴室门口与卧室走廊,暖色调室内布局,柔和温馨,没有冰冷感。 真实 iPhone 手机随手拍摄质感,像她洗完澡后被身边的人随手记录下来的生活瞬间。 0–3 秒: 她刚从浴室走出来,停在门框旁,头发湿润凌乱,发梢仍有少量水珠。她微微侧头看向画面左侧,一只手自然抬起,从耳后轻轻拨开湿发。胸口和锁骨附近残留的细小水珠在暖光下自然反光。 3–6 秒: 她像听见镜头这边有人叫她,眼神缓慢从侧面移向镜头,动作有非常轻微的停顿。嘴角出现一点若有若无的笑意,然后她嘴唇轻动,用放松、带点亲昵抱怨的普通话语气说出"怎么才回来呀",口型与声音自然同步,语速自然,不要字幕。另一只手保持放松垂在身侧。 …

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sections: 光线 · 4 timed beats · 927 characters in the original post
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by @7998l201Source

Close-up on a bedroom sofa at night

夜晚真实卧室场景,写实摄影风格,记录生活影像,人物、场景、气质与前序分镜设定保持一致,年轻中国女孩,25-28岁,人物形象必须严格参考图片,真实五官比例,非网红脸,干净,不磨皮、不美颜、无滤镜,人物坐在沙发上,背景为真实卧室,人物身体微微前倾,与镜头距离很近,镜头位于人物正前方,与眼睛同一高度,正面构图,非自拍,画面中不出现相机,开头画面:自然坐着,表情放松,带着温柔的微笑,自然用准确的中文口播以下内容(声音与画面同步,无文字叠加):“大家好,我是苏巧,你们能看到我,你们觉得我真实,但我感受不到你们”。语气:随意平静,像对朋友说话,不刻意强调不表演,人物表情自然。

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by @HarriesSteeleSource
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All-purpose phone selfie template

Smartphone selfie, 9:16, arm's length, handheld shake, autofocus breathing, wide-angle distortion. [Nhân vật: tuổi, dân tộc, chi tiết da, tóc, trang phục]. Cô ấy [hành động]. Ánh sáng cửa sổ trái hơi cháy, da thật không filter, noise kiểu iPhone. Nền phòng ngủ mờ. Audio: room tone, tiếng thở. NEGATIVE: airbrushed skin, CGI, cartoon, perfect symmetry, studio light, text, watermark. AI-generated selfie

by @NeonScribe07Source

Shy on the living-room rug

Excerpt

竖屏9:16,10秒,一镜到底,无剪辑。朋友手持镜头抓拍的亲密生活瞬间,无对白、无旁白、无字幕。 人物:年轻东方女性,浅色皮肤,深棕至黑色的蓬松长发配轻盈刘海,柔和圆润的五官,深色眼睛;穿薰衣草紫色罗纹短袖圆领修身T恤、奶油白色荷叶边短裤。 环境:温暖明亮的客厅,厚实的奶油色长绒地毯,阳光充足, cozy 中性色调。 表演时间轴: 0-1.9秒:她坐在地毯中央,温柔微笑,一只手伸向近处的镜头。 1.9-3.5秒:她意识到朋友在拍她,表情转为害羞;收回伸出的手,双手捂住下半脸,身体微微向内蜷缩。 3.5-6.2秒:她拿起旁边奶油色带深色斑纹的 fluffy 抱枕挡在面前,紧紧抱住,短暂埋脸,肩膀放松。 6.2-7.8秒:她从抱枕上方小心翼翼地探头,偷看镜头。 …

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sections: 人物 · 5 timed beats · 834 characters in the original post
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by @7998l201Source

Wet hair, pink slip dress, rewritten

Excerpt

湿发粉裙温馨版(10秒)· 完整生成视频提示词 人物设定: 25 岁左右成年东方女性,明确成年,清新大气、第一眼就很漂亮的气质(偏知性温柔感)。肤色白皙均匀。湿发:头发湿润凌乱,发梢有少量水珠。服装:浅粉色吊带丝缎修身短裙,正常不透光的丝缎面料,剪裁得体,肩上不搭毛巾。脸部保留真实皮肤纹理(毛孔、细微绒毛、唇纹、轻微肤色差异),无痘痘瑕疵,不做过度磨皮和假皮肤质感。整体呈现自然、生活化、非性感化的成年女性形象。 环境: 温馨的浴室门口与卧室走廊,整体暖色调室内布局,柔和暖光,居家氛围,没有冰冷感。真实 iPhone 手机随手拍摄质感,像她洗完澡后被身边的人随手记录下来的生活瞬间。 时间轴: 0–3 秒: 她刚从浴室走出来,停在门框旁,头发湿润凌乱,发梢仍有少量水珠。她微微侧头看向画面左侧,一只手自然抬起,从耳后轻轻拨开湿发。胸口和锁骨附近残留的细小水珠在暖光下自然反光。 …

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sections: 光线 · 4 timed beats · 1088 characters in the original post
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by @Tao_BuildsSource

Outfit selfie vlog against a white wall

时长10秒,全程一镜到底——从头到尾一个连续镜头,中间没有任何剪辑切换或跳切,画面流畅连贯。她从头到尾一直手持手机自拍,手机始终自然地握在她手中,不会突然出现或消失。其他保持不变:9:16竖屏,参考图中的女生(长黑发空气刘海、白色罗纹针织连衣裙,锁定五官发型服装一致性),室内白墙、明亮柔和自然光,美妆穿搭自拍vlog风格——自然微笑、轻拨头发、转身展示裙摆、随音乐小幅度律动摆手,表情开心放松;轻快明朗的原创流行BGM;无台词;真实手机前置视频质感,美颜柔和提亮肤色、暗部保留细小颗粒,手持轻微自然晃动,720p,无任何文字水印。

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by @SpringHaoAISource

Front-camera selfie against a white wall, in two parts

Excerpt

第一段(0-10s,怼脸): 竖版9:16,室内白墙自拍场景,白色墙面固定。人物外观:圆润脸型、饱满脸颊,黑色长发,白色罗纹短袖深U领上衣,粉珊瑚唇妆、淡眼线、碎发贴颊。人物用前置手机自拍,镜头始终由她手持,手持只有轻微自然晃动、不要剧烈抖动,无台词、无口型。段落:她突然拿起手机靠近脸,前摄拉近到面部特写(约半臂距离,五官必须清晰可辨、不能糊),精致妆容充满画面;表情在娇羞与撩人之间切换——先垂眼抿嘴,再抬眼锁住镜头,轻歪头、轻眨眼、嘴角若有若无的笑。在面部特写与稍远中近景之间硬切或快速跳切,每一次拿起都让观众感觉离她非常近。配乐:节奏清晰、带暧昧张力的原创女声R&B-pop,BPM约100-108,低频贝斯+短促电子鼓点;拿起瞬间踩鼓点。环境声:近距离呼吸声、轻笑、拨发声、室内底噪。画质:抖音网红美颜滤镜的真实手机前置视频;美颜柔和提亮肤色,中间调暗部有细小随机颗粒与少量彩噪;动作瞬间只有轻微动态拖影;对焦呼吸、滚动快门、曝光白平衡泵动、降噪涂抹、平台压缩块保留;720p。禁止:文字水印、全程锐利、HDR、影棚精修。 …

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2 timed beats · 1101 characters in the original post
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by @BlockInsight214Source

Welcome home, handheld selfie

Excerpt

《开门迎接》视频生成提示词 竖版约 3:4,时长 10 秒,手持手机自拍视角,带轻微手持晃动 镜头 1(0–2 秒):特写,一扇室内木门的金色把手,锁孔里插着一串钥匙轻轻晃动,暖黄灯光从门缝透出。 镜头 2(2–5 秒):镜头从门把手转向房间,一位黑色长波浪发的年轻东亚女性入画,穿黑色抹胸上衣,对镜头露出灿烂笑容,像在迎接镜头外的人。 镜头 3(5–7 秒):她转身侧对镜头,站在椅子旁、手扶椅背,展示侧脸轮廓和垂落的长发。背景可见鞋架上的白色运动鞋、墙上挂包、照片墙、暖黄台灯。 镜头 4(7–10 秒):她贴近镜头至脸部大特写,微笑并做出轻声说话的口型,涂着红色指甲油的手指轻轻搭在镜头前,亲密撒娇的氛围,在笑容中结束。 20 多岁东亚女性,黑色长波浪卷发至胸下,白皙皮肤,淡妆(粉色腮红、裸粉唇),黑色抹胸上衣,红色指甲油,神情开心、放松、亲昵。 …

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4 shots · 638 characters in the original post
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by @JasonLiuLabsSource
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Talking in a pink bedroom

Excerpt

**主体:** 一位年轻的东亚女性,黑色长发,自然大波浪,配轻薄空气刘海,皮肤白皙通透。她化着日系/韩系"醉酒腮红"妆:大面积玫瑰粉腮红从颧骨一直晕染到眼下和鼻梁,下眼睑也带一点粉色。眼妆是黑色细长上扬的眼线,睫毛浓密卷翘。唇妆是饱满水润的橘红色水光唇釉,嘴唇微微嘟起。她的服装完全以参考图为准:浅粉色针织开衫、米色罗纹吊带上衣、浅色碎花长裙、裸色蝴蝶结高跟鞋,珍珠发饰与珍珠耳环。 **场景:** 场景是一间少女风卧室,以粉色为主色调。背景是浅粉色墙面、粉色床品,还有一面堆满毛绒玩具、潮玩手办和盲盒的展示架。暖黄色台灯营造出温馨的居家氛围,背景虚化,有柔和的焦外光斑。 **动作与镜头(约10秒):** - 0–2秒:中景,人物正对镜头坐着,对镜头嘟嘴卖萌,同时抬手整理头发。 …

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sections: 场景 / 风格 / 负面提示词 · 4 timed beats · 709 characters in the original post
by @beizhi606Source

Pushing the door open, chestnut updo

Excerpt

1. 主体锁定 不锁定首帧。首帧是门刚推开的过渡帧:画面倾斜、轻微失焦、她只有背影和侧后脑入画、半边被门框裁掉,随进门晃动回正,绝不正脸居中开场。 造型逐项锁定:栗棕色头发全部向后梳成低盘发,两侧各留一缕长龙须刘海垂到锁骨,发髻右侧别白色蕾丝蝴蝶结发饰带短飘带;暖调轻熟妆,皮肤带水光高光(鼻梁、颧骨反光)、淡棕眼影、细眼线、腮红偏高、玫瑰粉水光唇;奶油米白针织挂脖背心(挂脖细带、双肩和整个后背裸露、罗纹纹理、修身)+ 同色薄针织开衫滑落到手肘、双肩外露只挂在胳膊上;只戴珍珠花朵耳环(5-6颗小珍珠拼花,比默认耳钉大),本条不戴金项链,裸粉色短甲。 2. 场景 只一个场景不换:夜晚家中玄关连客厅一角,暖黄光。左侧木门门锁,身后没开灯的昏暗走廊和木地板;墙上有壁灯光晕、木质钥匙架挂钥匙、照片墙和小布袋,远处米色窗帘和夜色窗户。越往走廊越暗。 …

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sections: 禁止 · 4 timed beats · 1131 characters in the original post
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by @0x95279527Source
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Japanese girl front-camera selfie

Excerpt

Vertical selfie video, 9:16 aspect ratio, first-person phone camera view. A 22-year-old clearly adult Japanese woman with ash blonde semi-long hair and bangs, wearing a thin gray tank top, lying on her stomach on a white bed during the daytime while filming herself with her smartphone. A very beautiful modern Reiwa gyaru. Not flashy hostess-style, but a clean and sweet gyaru aesthetic. …

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1341 characters in the original post
by @hai_varaSource

Reference-image girl across several scenes

Excerpt

参考画像の女性と同一人物にする。顔、目鼻立ち、髪型、髪色、メイク、服装、アクセサリーを全編を通して保持し、場面が切り替わっても変えない。 黒髪のロングヘアで前髪あり。アイボリー色のニットカーディガンに黒のインナー、ゴールドのネックレスとピアスを身につけている。 鞄は持たせない。肩にもかけさせない。 日本の高級タワーマンションの高層階の一室。 玄関ホール、大きな窓から都市の景色が見える明るい居間、白い大理石の調理台がある台所、窓辺の眺望スペース。 朝の柔らかな日差しが入り、静かで清潔感と高級感のある空間にする。居間の床に黒猫がいる。 来訪者の一人称視点。スマートフォンの広角レンズで撮ったような質感にする。 場面1(冒頭):女性が部屋の中から玄関の扉を開ける。扉が内側へ開いて明るい光が差し込み、彼女が笑顔で顔を出し、手で「どうぞ」と招き入れる。カメラは扉を通って室内へ入る。 …

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by @REXTokyo2Source

Girl with glasses on a train, image to video

以这张图片为参考,生成一个10秒以内的高质量视频, 人物的身材面貌服装都不要改变,且保持一致性, 为人物设计合理且性感的动作, 为视频画面设置合理的运镜和构图,搭配合理的背景音乐 参考图人物:长发低盘发、细框眼镜、白色宽松衬衫, 坐在列车车厢内,背景是车窗、窗帘和座椅,冷调柔光。 全程保持同一张脸、同一发型、同一副眼镜、同一件白衬衫和同一身材, 不要换装、不要换脸、不要出现第二个人。 动作设计(优雅性感、不低俗): 先望向窗外微微出神,再缓慢转头看向镜头,眼神柔和; 手指轻触下唇边停留片刻,另一只手自然搭在座椅靠背上, 肩膀和头部有缓慢、克制的起伏,结尾是一个浅浅的回眸微笑。 运镜和构图:以参考图的中近景为起点, 缓慢向前推近到面部特写,略带手持感但保持平稳, 人物居中偏右,背景车窗光影缓慢流动。 质量:电影级清晰锐利、肤色自然、五官稳定、光影层次分明, 避免面部变形和画面闪烁。 音乐:柔和缓慢的爵士/氛围背景音乐,与缓慢的动作和转头节奏相配。

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by @BaiSu_MSource
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Image to video: turning to smile

添付画像の人物の顔・髪型・服装を維持した短い縦動画。人物がゆっくりカメラに視線を向け、自然に微笑む。まばたきと髪の揺れは控えめ。カメラは固定し、背景と照明を維持。途中で場面を切り替えない。

How it was used:
先准备一张人物图,再用这段提示词图生视频;表情太夸张就补一句「微笑みを控えめに」,脸变了就补「顔の向きを固定し、動きを小さく」
by @gagarot200Source

Tipsy in the back of a taxi (1)

Excerpt

A 10-second live-action video with authentic smartphone footage, filmed vertically in 9:16. Play entirely in real time at normal 1× speed, with natural speech and no speeding up or slowing down. One continuous take, maintaining an extreme facial close-up throughout, with no cuts. Film from the perspective of her boyfriend sitting beside her. …

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Full prompt:
blocks: Audio · 3947 characters in the original post
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by @real404worldSource

A selfie video sent every day at a set time

毎日、決まった時間に「自撮り動画」を1本送ってください。 ・人物は、私のアバターの姿を参照して、そのデザインのまま描いてください ・画角は縦長9:16(スマホサイズ)を指定してください ・構図は「スマホのフロントカメラで自分を撮った自撮り動画」にしてください。近距離の画角、レンズへの目線、手持ち感のあるフレーミングで。第三者が撮ったような引きの構図はNGです ・動画は、文章から直接作るとキャラクターのデザインが崩れたり実写寄りになったりするので、先に静止画を作ってから、その静止画を動画化してください ・元の静止画は表に出さず、裏側に保存するだけにしてください。届けるのは動画だけです ・動画の動きは最小限で自然に(まばたき、少しの頭の傾き、柔らかな笑顔、手持ちの微かな揺れ程度)。イラスト調を維持してください ・毎回、その日の季節や時間帯に合った違う場面にしてください ・服装は基本の衣装のまま、季節に合わせて自然に調整してください(寒ければ着こむ、暑ければ薄着に) ・雰囲気は爽やかで自然に。艶っぽさは抑えてください 毎日14時ごろに届けてください

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by @Sadal_QuariSource

Tipsy taxi selfie (2)

Excerpt

A 10-second live-action video with authentic smartphone selfie footage, filmed vertically in 9:16. Play entirely in real time at normal 1× speed, without speeding up or slowing down. One continuous take, maintaining a close-range facial selfie throughout, with no cuts. She sits in the back seat of a moving taxi late at night, resting comfortably against the seat. She holds the phone herself in one hand and films with the front-facing camera. …

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Full prompt:
blocks: Audio · 4297 characters in the original post
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by @real404worldSource

Four-step template for a 10-second selfie

①最初の1コマにリファレンス画像 ②0〜3秒:何気ない動作 ③3〜6秒:カメラを意識して微笑む ④6〜10秒:照れて笑う/手を振る 声は入れない。

How it was used:
写真1枚から作った架空の子の 10 秒自撮り動画、作り方の型(10 秒をつなげれば 30 秒以上も可)
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by @rlu1598451Source
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Iced coffee outside a bakery, a playful wink

用这张图生成视频,9:16 竖版。面包房外,她弯腰看桌上的冰咖啡,忍不住笑出声,抬手把耳边碎发拨到耳后,再抬眼看向镜头,俏皮地眨一下眼。微风吹动前景的粉色小花和门口布帘,前景花枝自然失焦轻晃,手持镜头缓慢推近,胶片质感,川岛小鸟式日常抓拍感。保留左下角「● DeepBlue」签名。

by @DeepBlueX0Source

White-wall selfie, close to the lens on the beat

Excerpt

主体:@图片1 为白墙自拍女生角色参考图,锁定五官、发型、服装与饰品一致性。 场景:@场景1 室内白墙自拍场景,白墙固定;参考图只作人物外观参考,不锁定首帧。 音乐:生成节奏清晰、带暧昧张力的原创女声R&B-pop,BPM约100-108,低频贝斯+短促电子鼓点;镜头拿起/放下、突然怼脸都踩鼓点。叠加衣料、拨发、近距离呼吸、轻笑、室内底噪。 镜头与剪辑逻辑(关键):不是单一平滑一镜到底。人物用前置手机自拍,镜头始终由她手持,但过程中有明显的“镜头互动与切换感”——手机可以突然放下(画面短暂落到胸口/腰腹/大腿中近景,构图晃一下),再突然重新拿起怼到脸前;也可以在贴脸特写与稍远中近景之间硬切或快速跳切。每一次拿起都让观众感觉离她非常近。全程不用稳定器,手持随机晃动。无台词、无口型。 画面段落: 1)开场中近景:腰腹到上半身,白短袖罗纹深U领随呼吸让内搭边缘与自然颈胸线条若隐若现;她左右摆动重心、甩手,手机可能先放低拍身体律动。 2)突然拿起镜头怼脸:前摄瞬间贴到眼睛、鼻尖、嘴唇,精致妆容(粉珊瑚唇、淡眼线、碎发贴颊)充满画面; …

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Full prompt:
6 shots · 3133 characters in the original post
Also posted by:
@mingAIgo, @azasimen_, @mike_smith0303, @bei351009016, @Seanvon369, @Adrian_XBT, @WildVariable01, @mingAIgo, @azasimen_, @mike_smith0303, @bei351009016, @Seanvon369, @Adrian_XBT, @tmhyt1
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by @Crypto_146827Source
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Deliberately bad selfie, reverse-engineered prompt

阶段一底图:请生成一张类似你自己用iPhone前置摄像头随手自拍的照片;没有明确主题,没有刻意构图,只是很普通,甚至有点失败的自拍照;略带运动模糊、光线不均,轻微曝光过度,角度微仰视略显尴尬,构图混乱。主体是一名身穿军绿色连帽卫衣的长发年轻男性,头发蓬乱遮住半只眼睛,坐在汽车副驾驶内,背景后座堆着杂物纸袋与咖啡杯。整体呈现一种“过于真实的随手一拍照”,就像是从口袋里拿出手机不小心按到的自拍。 阶段二图生视频(配上面那张底图):以刚才这张图片为参考生成一段真实生活视频:还是同一个人、同一辆车、同一件绿卫衣,头发乱糟糟,手持镜头轻微晃来晃去,角度很随意。一开始半张脸对着镜头,略带羞涩地笑了一下,用手撩了下头发、往车窗外看了看,随后车子启动开走,真实街景从车窗边平滑滑过去,特别像随手打开前置摄像头录制的一段日常生活vlog。竖屏9:16,10秒,带真实车内环境原声与人声。

by @leaf_sanrenSource

Front-camera vlog in one take

Excerpt

Vertical 9:16 front-camera selfie video, handheld smartphone vlog feel, one continuous 10-second shot with no cuts. A young East Asian woman with long straight black hair and wispy curtain bangs, dewy fair skin, soft peach blush, subtle brown eyeliner, glossy coral-orange lips, wearing a light grey-blue camisole top. She is in a bright sunlit living room: blue-grey sofa with white pillows and a folded blanket, small wooden side table, pale walls. …

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Full prompt:
blocks: Camera · 1340 characters in the original post
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by @superlewis88Source

Spring old street in Hangzhou, DV look

Excerpt

写实真人视频,10秒,16:9横屏。2000年代初期索尼MiniDV家用摄像机质感,低饱和、略褪色、柔和对比,轻微数字噪点、DV压缩痕迹、自动对焦和曝光变化,朋友手持跟拍,自然晃动,不完美构图,不要稳定器,不要电影感,不要广告感。 一位24岁中国女生,清秀自然,淡妆,乌黑长发披散,穿宽松酒红色连帽卫衣,肩挎米白色帆布包,人物面部、发型、服装全程保持一致。场景是中国杭州老城区春日上午的安静居民街道:狭窄石板路,斑驳白墙灰瓦老房子,墙边停着自行车、共享单车和电动车,绿植花盆,红灯笼,红色简体中文招牌“早餐铺”“便利店”,真实中国生活气息。街道上方盛开淡粉白色樱花,阳光穿过枝叶在路面形成碎光斑,微风中只有少量花瓣零星飘落,不要漫天花雨。 …

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Full prompt:
sections: 分镜 · 4 timed beats · 615 characters in the original post
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by @lucky46017Source

Vesper vlog: autumn café in Toronto

Excerpt

Video concept: A realistic 20-second lifestyle vlog filmed by Vesper herself. Use Vesper's provided character reference for her identity and body proportions. Never alter her identity. Location: A beautiful autumn Saturday morning in a cozy Toronto neighborhood. Tree-lined streets with golden leaves, independent cafés, warm brick storefronts, and a relaxed weekend atmosphere. …

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Full prompt:
blocks: Avoid / Audio · 3930 characters in the original post
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by @HuanAIartSource

Vesper vlog 002: Toronto Chinatown

Excerpt

VESPER VLOG 002 — A Day in Toronto Chinatown Format: 30-second realistic lifestyle vlog, vertical 9:16, authentic smartphone footage, natural Mandarin dialogue. Character: Vesper. Use her provided character reference as the exclusive source of facial identity and body proportions. Maintain perfect character consistency throughout. Do not redesign her appearance. …

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Full prompt:
blocks: Avoid / Camera · 6863 characters in the original post
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by @HuanAIartSource

20-second vlog in Tang-dynasty Chang'an

Excerpt

Format: 20-second vertical 9:16 lifestyle vlog, photorealistic historical environment, natural handheld smartphone-style filming, authentic Mandarin dialogue. Setting: Tang Dynasty Chang’an during the Shangyuan Lantern Festival, around the eighth century. A spectacular yet historically grounded nighttime celebration. …

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Full prompt:
blocks: Avoid / Camera · 5346 characters in the original post
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by @HuanAIartSource

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.

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