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Muse Video Documentary & Landscape 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.

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Fields in the drizzle, southern countryside

Excerpt

风格: 电影级写实,一镜到底,全程不切镜头,运镜缓慢平稳。阴天柔和的散射光,细雨蒙蒙,田野上有一层淡淡的薄雾,色调清新温润,带一点 90 年代南方乡村的怀旧感。 镜头脚本: (0–3 秒) 低机位开场。画面左侧是一条古旧的石砌水沟,沟沿长满青苔和杂草,草叶上挂着细小的雨珠,沟里的水缓缓流动,细雨落在水面泛起小小的涟漪。镜头贴着水沟慢慢向前推,远处田埂小路上,一个少女牵着一头水牛,慢慢走过来。 (3–7 秒) 中景跟拍,镜头在她前方缓缓后退。她一手举着一片大荷叶当伞,一手牵着牛绳,乌黑的长辫子垂在肩前,随着步子轻轻摆动。她边走边轻声哼着歌,嘴唇自然开合,嘴角带着笑。身后的水牛慢悠悠跟着,黑色皮毛被雨打湿,泛着微光,鼻孔呼出淡淡的白气,脖子上的小铜铃轻轻晃动。 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
sections: 人物 / 场景 / 风格 · 4 timed beats · 820 characters in the original post
by @yangleiocx3Source
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Wilderness build template

Excerpt

通用爆款视频提示词(极限环境 + 动手做 + 完成过夜类,竖屏纪实风) 适用:荒野建造、修缮、露营、手工、野外做饭等。换主题时只换方括号里的内容,人物卡、场景卡、尾巴一律逐字复用。 一、先定妆,再生视频 定妆图提示词: Vertical 9:16 realistic documentary photo: [人物:年龄、体型、发型、衣服颜色、标志性装备,一句话写死] in [场景:地点、天气、光线、关键道具], [第一人称/全景,正在做的动作], no text, no logos. 定妆图要出两张:一张室外主场景,一张室内/完成态场景。后面所有视频都以这两张图为首帧参考,不要每镜用文字重建人物。 二、单镜视频提示词(每镜复制一份,只换动作) …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
1051 characters in the original post
by @starkljmSource

Climber crossing a snowy pass on a stormy night

生成一段15秒的电影级真实纪录片视频:暴雨夜,一名身穿黑色冲锋衣的登山者独自穿越海拔4000米的雪山垭口,狂风卷起雪雾,远处闪电照亮连绵雪峰。 全程一镜到底,真实手持长焦摄影,禁止切镜、转场、跳帧。 摄影机从登山者身后低位跟拍,借助前景飘雪制造强烈空间纵深;随后以极其流畅的专业斯坦尼康式移动,绕至人物侧后方,利用长焦压缩空间,捕捉他在极端天气中艰难前行的细节;镜头缓缓向上抬升,越过人物肩膀,展现雷电划破夜空、雪峰连绵至地平线的震撼景象,最后稳定停留在人物渺小而孤独的背影上。 摄影标准: 顶级自然纪录片摄影、IMAX电影质感、真实物理光照、自然运动模糊、电影级动态范围、精确曝光、冷峻蓝灰色调、真实雪粒与镜头水滴、细腻胶片颗粒。摄影机运动具有真实重量感、惯性与微妙呼吸感,专业焦点跟随,前中后景层次分明,画面极具沉浸感与史诗感。 画幅与参数: 2.39:1宽银幕,4K,24fps,真实光学景深,纪录片级写实。

Watch on X
by @LeviwoyunSource
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Old Tibetan town and black yak

藏区小镇古道与黑牦牛:藏区高原古镇依山而建的石板坡道,两侧是斑驳沧桑的藏式白墙平房与深色木质彩绘门窗,屋顶悬挂的彩色风马旗在微风中轻微飘动。远景是阴云笼罩下的险峻高耸雪山山峰。中景一名身穿传统深褐色藏袍的藏民缓步向石板路深处走去,背对镜头;近景右侧一头体型壮硕、毛色浓密的黑牦牛甩着尾巴慢步漫游。慢速手持摄影机缓步前移跟拍,带有自然呼吸感微颤。真实高原阴天漫射光,冷灰调色,空气中充满真实微尘与古道石板漫反射。16:9横屏,10秒,一镜到底,严禁艳俗高光与AI塑料平滑感,超写实纪录片质感。

by @leaf_sanrenSource
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Herder driving sheep on the northwest plateau

西北高山牧羊人赶羊:西北高山高原下的砂石公路,远处是覆着薄雪的连绵荒凉山脉与阴沉天色。大群羊群在道路上向前密集奔涌,踩踏扬起大片逆光灰尘烟雾。一位身穿厚重陈旧藏袍、头裹棉巾的饱经风霜的老年牧民,骑着老式红色摩托车在羊群右侧随行驱赶,车后座捆绑着厚重行囊,右侧有一辆蓝色老旧小货车缓缓同行。低角度侧面横移跟拍镜头,伴随羊群与摩托车匀速前进。现场自然硬光与逆光烟尘交织,压低饱和度的粗粝电影胶片色调。16:9横屏,5-10秒,一镜到底不切镜头,去ai味,保持时代真实感与纪录片触感。

by @leaf_sanrenSource

Old fishing harbour in the south, summer dusk

Excerpt

生成一段10秒的写实电影感视频,4:3画幅,正常速度,自然连贯的长镜头。 场景是中国南方一座有人生活的老渔港,时间为夏日傍晚。低角度的金色夕阳照亮狭窄的水泥步道。旁边是斑驳褪色的蓝绿色墙面和旧木门,门口摆满盆栽,藤蔓与粉色小花沿墙生长,屋檐下挂着风铃。步道两侧是掉漆的蓝绿色与橙红色铁栏杆。右侧有一家陈旧的小卖部,摆着饮料、零食、塑料筐和椅子;左侧可以看到海水、停泊的渔船,以及远处密集的彩色低矮房屋。环境真实、略显杂乱,充满沿海小镇的生活气息。 一位二十多岁的东亚女性,黑色长发,穿宽松的米白色棉麻衬衫,袖口随意挽起,搭配浅米色短裤和平底凉鞋。她从半开的蓝绿色旧木门中自然走出,沿着海边步道缓缓向前走,手臂随步伐轻轻摆动。海风不规则地吹动她的长发和衬衫,发丝偶尔掠过脸侧。她一边走,一边轻轻偏头望向左侧的海港,神情平静放松。 镜头从门外的中景开始,随着她走出门口平缓移动,从侧前方自然过渡到侧后方,再以接近人眼的高度跟随她的背影前进,逐渐展现海面、渔船和沿岸房屋。保持轻微而克制的手持起伏,让观众感觉正跟着她一起散步。 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
610 characters in the original post
Watch on X
by @RockTheWindSource
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Dawn in the Sahel: a herder

Excerpt

✨ This was made by Muse. The effect is stunning. 🤖 And yes — it is AI-generated, not real footage. 🌅 Dawn in the Sahel. A herder walks his zebu cattle forward, dust settling behind them. 🐂 One walk. 🎥 One camera move. 💡 One dawn light. 💡 That is the whole prompt trick: Do not ask for five actions. Ask for one action, and let it finish. …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
blocks: Camera · 1944 characters in the original post
by @LigtManTogoSource
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Ethiopian elder, documentary close-up

非洲人文纪实摄影:BBC/国家地理级非洲人文纪实电影。85mm人像电影定焦镜头,低景深。画面中一名饱经沧桑的埃塞俄比亚黑人老人头部近景特写,极高精度的皮肤肌理、深邃沉静的眼神、花白胡茬与深刻的岁月皱纹,伴随极细微自然的呼吸与眼神微动。背景是烈日下略微虚化的非洲传统露天香料市集与过往人群。侧逆光勾勒人物面部轮廓,阴影深沉克制,低饱和度胶片调色,保留胶卷真实颗粒感。16:9横屏,10秒,固定机位微颤一镜到底,严禁AI过度磨皮与塑料光滑感,保持原汁原味的粗粝纪实触感。

by @leaf_sanrenSource

Ginkgo avenue in Jiangnan, late autumn

Excerpt

生成一段10秒的写实电影感视频,4:3画幅,正常速度,自然连贯的长镜头。 场景是中国江南一座安静小城的老城区银杏大道,时间为深秋下午接近傍晚。低角度的金色阳光穿过道路两侧高大茂密的银杏树,照亮略显陈旧的灰色柏油路。整条街道被金黄色银杏叶包围,地面散落着厚薄不均的落叶,部分叶片堆积在路边和排水沟旁。道路两侧是低矮的老居民楼、褪色的米黄色墙面、旧式铁门、小杂货店和街边咖啡馆。店门口摆着木椅、绿植、塑料筐和几辆停靠的自行车。远处有慢慢散步的居民和一位推车经过的老人。环境真实、略显杂乱,充满秋日小城的生活气息,而不是刻意布置的空旷摄影场景。 一位二十多岁的东亚女性,黑色自然长发,穿宽松的奶油白色针织毛衣,搭配浅棕色长裤、白色平底帆布鞋,背着一个小巧的棕色帆布斜挎包。她骑着一辆复古奶油白色城市自行车,自行车有细长金属车架、棕色皮质车座和前方小藤篮,藤篮中放着一束简单的淡紫色小雏菊。 …

This is an excerpt. Read the full prompt in the original post →
Full prompt:
1114 characters in the original post
Watch on X
by @RockTheWindSource

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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