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Wan 3.0 Document & Web to Video Prompts

Sixty-four Wan 3.0 prompts from the official Wan 3.0 creator handbook, each shown next to the clip it produced: 30-second text-to-video, image, video and audio references, document-to-video, editing, extension and first-frame jobs. Hover to play, one click to copy.

← All 64 Wan 3.0 prompts

Last updated: · Wan 3.0 API — pricing & playground · API docs

TL;DR

Wan 3.0 is Alibaba's all-in-one video model: one model name covers text-to-video, first-frame and first+last-frame image-to-video, and omni-reference generation from up to 10 reference images, 5 reference videos and 5 audio clips, or straight from a document or a public web page. It outputs a native single shot of up to 30 seconds at 30fps with a synced audio track, in 480P, 720P or 1080P. On apimodels.app it is model wan-3.0-video at $0.045, $0.09 and $0.18 per second by resolution, with a prime mode that is about 6x faster for roughly 50% more. This page collects the 64 prompts and sample clips published in the official Wan 3.0 creator handbook, grouped by job type and free to copy.

Source: Wan 3.0 视频创作者手册(通义万相) (the model vendor’s official site)

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DOCX to video: a diary written to a golden retriever

本视频共包含6个镜头,总时长30.0秒。 全片以暖黄色调和胶片颗粒质感为基调,以主人深夜翻开一本写给金毛犬的旧日记为叙事线索——每一段旁白都是从日记本中念出的一页,画面是日记文字唤起的回忆影像。通过金毛犬"夏天"从幼犬到家至一岁生日的五个生活片段,配合翻页般的钢琴弦乐,讲述一段温情的成长故事。 全局字体设定:全片所有中文文字(包括开篇题字、逐镜头字幕、结尾题字)统一使用「楷体」字型,呈现手写日记本的温润文学质感。文字颜色为暖黄色(#E8D5A3),字号偏小、笔触纤细,笔画边缘带有极轻微的暖色柔光晕散,与画面胶片颗粒质感自然融合,仿佛钢笔在泛黄日记本上写下的字迹。 全局声音设定:BGM为柔音钢琴(felt piano)与室内弦乐组合,整体偏安静克制、情绪向内收拢。钢琴触键柔软绵密,像手指轻轻按压琴键而非敲击;弦乐偏暖偏厚,弓弦摩擦的颗粒感可闻,不追求宏大而是贴近耳边的亲密感。情绪随剧情流动——开场只有一声钢琴单音延留,幼犬段落钢琴轻起简单旋律温暖克制,户外段落加入尼龙弦吉他拨弦变得轻快跳跃,捡球段落弦乐轻轻托起情绪上扬,生病段落钢琴沉入低音区大提琴缓入成为全片最安静最揪心的一段,生日段落弦乐铺满旋律明亮开阔,尾声回到开头那几个音符首尾呼应,最后一个音拖长余韵缓缓归于寂静。整条BGM像一封写给自己的信,情绪从不外放,始终是一种忍着的温柔。 全局旁白设定:画外音为中文女声,整体定位为主人深夜翻开写给夏天的日记本、一页一页轻声念给自己听。音色要求——温柔低沉、带有自然的气声和真实的人声颗粒感,不是在朗读或播报,而是一个人在安静的房间里对着自己的回忆说话。每段旁白开头念出日期时,语气像在辨认日记上写了什么,然后自然过渡到回忆的内容。语速偏慢、舒缓自然,句与句之间留有真实的呼吸停顿和吞咽间隙,句尾自然收弱而非机械截断。情绪随镜头自然变化:前段带着回忆初起时的柔软和微笑,中段户外段落语气轻快一点点,生病段落声音压低、语速更慢、带着一点点忍着的鼻酸,尾段回暖但依然克制,最后一句"谢谢你陪我"声音最轻、最慢,像怕说大声了会哭。禁止出现均匀节奏、机械断句、无情绪波动的平直念白。 全局字幕设定:【必须执行】每一个包含旁白的镜头(第2至第6镜头),画面下方居中位置必须显示对应旁白文字作为字幕。字幕字体与开篇「致夏天」统一为楷体,暖黄色(#E8D5A3),字号偏小、笔触纤细、半透明(约70%不透明度),笔画边缘带极轻微暖色光晕,与画面胶片颗粒质感融为一体。字幕随旁白同步淡入显示,旁白结束后延迟约0.5秒再柔和淡出,句间停顿处字幕不消失、保持可见。 第1个镜头[00.00-03.50秒]:纯黑背景,中心构图,柔光暖色调氛围中,画面中央缓缓浮现暖黄色楷体文字「致夏天」,文字下方隐约可见泛黄纸张纹理,像一页日记的扉页被轻轻翻开,文字边缘带有轻微光晕,停留片刻后柔和淡出;淡出过程中,暖色光晕从中央向四周缓慢扩散,逐渐充满画面,自然过渡至下一场景,固定镜头,切变转场,BGM:钢琴第一个单音响起,触键极轻极柔,余音延留,伴随极轻微环境底噪与一声轻柔的纸张翻动声; 第2个镜头[03.50-08.50秒]:参考图1的浅金色金毛幼犬蜷缩在棕色瓦楞纸箱内的姿态与眼神、右侧粉色毛绒骨头玩具及虚化家居背景,中近景,中心构图,暖色调柔光,室内灯光从左上方洒下,浅景深,四角柔和暗角,胶片颗粒质感,一只很小的深金色金毛幼犬蜷在纸箱角落里,毛茸茸的身体微微发抖,眼睛半闭着,它慢慢抬起头,眨了眨眼,怯怯地往箱子外面偷看了一眼,耳朵轻轻抖了一下,然后又把头缩回去了,动作很慢,带着刚到陌生环境的胆怯,镜头保持不动,安静注视,硬切转场,转场时伴随一声轻柔的纸张翻动声,像翻过一页日记;BGM:钢琴轻轻进入简单几个音符旋律,温暖克制,像小心翼翼伸出手指去触碰;画外音:「9月15号,到家的第一天。你刚到家,躲在纸箱角落里,叫你也不敢出来。」字幕:画面下方居中必须显示楷体字幕「9月15号,到家的第一天。你刚到家,躲在纸箱角落里,叫你也不敢出来。」,暖黄色半透明,随旁白同步淡入淡出 第3个镜头[08.50-13.50秒]:参考图2的金毛幼犬在阳光充足公园草地欢快奔跑的姿态、佩戴红色项圈牵引绳、耳朵随风飞扬及张嘴露舌神态,中景,手持跟拍视角与小狗齐平,暖绿色调,日光柔光侧光,背景树木虚化,胶片颗粒质感,阳光明媚的小区草地上,一只小金毛拽着牵引绳疯跑,毛随风一颠一颠地弹跳,耳朵被风吹得向后翻,跑着跑着突然停下来,鼻子贴着草地使劲闻,呼哧呼哧喘气,闻了两秒又朝另一个方向冲出去,阳光从侧面打过来,画面有淡淡光斑,跟随运镜,硬切转场,转场时伴随轻柔的纸张翻动声;BGM:节奏变轻快,加入尼龙弦吉他拨弦,带跳跃感,像小狗碎碎的脚步,伴随草地沙沙声与小狗喘气声;画外音:「11月3号。第一次带你出门,你拽着绳子疯跑,回家就瘫了。」字幕:画面下方居中必须显示楷体字幕「11月3号。第一次带你出门,你拽着绳子疯跑,回家就瘫了。」,暖黄色半透明,随旁白同步淡入淡出 第4个镜头[13.50-18.00秒]:参考图3的深金色金毛幼犬在室内木地板向镜头奔跑、嘴里叼着黄色网球及背景模糊壁炉火光,低角度拍摄,狗的视平线,中近景,暖色调日光柔光,中心构图,胶片颗粒质感,一只小金毛嘴里叼着一颗金色网球,摇摇晃晃地朝镜头方向跑过来,步伐还不太稳,但尾巴摇得特别用力,跑到镜头面前停下来,嘴巴松开,球落在脚边弹了一下,然后它仰起头看着镜头,嘴巴微张像在笑,表情特别骄傲,轻微推镜头,硬切转场,转场时伴随轻柔的纸张翻动声;BGM:旋律稍微展开,弦乐轻轻托起,情绪微微上扬,像心里突然被暖了一下;画外音:「1月10号。你居然把球叼回来了,看我的眼神可骄傲了。」字幕:画面下方居中必须显示楷体字幕「1月10号。你居然把球叼回来了,看我的眼神可骄傲了。」,暖黄色半透明,随旁白同步淡入淡出 第5个镜头[18.00-23.00秒]:参考图4的金毛犬趴在宠物医院不锈钢检查台、身上盖蓝色毛巾、左前爪缠白色绷带连接输液管及旁边挂输液袋的细节,中景,镜头缓慢推进,冷色调,蓝灰滤镜,柔光侧光,低对比度,胶片颗粒质感,一只金毛趴在冰冷的不锈钢检查台上,看起来很虚弱,眼睛半闭着,呼吸很慢,几乎不动,背景能看到模糊的医疗设备和输液管,过了一会儿,它慢慢转过头朝镜头方向看了一眼,像是认出了主人,尾巴轻轻摇了一下,然后又没力气了,缓慢推镜头,硬切转场,转场时伴随轻柔的纸张翻动声;BGM:钢琴转入低音区,换成缓慢沉重的和弦,大提琴以极轻的力度缓缓加入,弓弦摩擦的粗粝质感可闻,整段最安静最克制,是全片情绪最低点,伴随心电监护仪轻微滴声;画外音:「4月5号。你趴在医院的台子上,一点精神都没有。看到我来了,尾巴摇了一下。」旁白要求:这句声音要压低、语速更慢,"尾巴摇了一下"声音最轻,带一点点忍着的鼻酸感,句尾自然收弱。字幕:画面下方居中必须显示楷体字幕「4月5号。你趴在医院的台子上,一点精神都没有。看到我来了,尾巴摇了一下。」,暖黄色半透明,随旁白同步淡入淡出 第6个镜头[23.00-30.00秒]:参考图5的成年金毛犬戴彩色波点生日帽系蓝色领结、面前摆放插有一根燃烧蜡烛的双层宠物蛋糕及左侧气球装饰,中景,中心构图,暖色调,暖金色光线笼罩画面,柔光,背景柔和光斑,胶片颗粒质感,一只一岁大的金毛,毛色油亮健康,头上戴着彩色小生日帽,面前放了一个宠物小蛋糕,它先歪着头好奇地看了看蛋糕,然后凑过去闻,鼻子上沾了一点奶油,缩回来的时候舌头伸在外面,对着镜头哈气,像在笑,随后画面缓缓淡出至黑屏,淡出时伴随一声轻柔的纸张合拢声,像轻轻合上日记本,中央浮现楷体文字「夏天 · 一岁快乐」,停留后淡出,固定镜头,淡出转场;BGM:钢琴回到高音区,旋律明亮开阔但不张扬,弦乐铺满像一双温暖的手托住画面,最后回到开头那几个音符首尾呼应,最后一个音拖长余韵渐弱至静音;画外音:「7月8号。你一岁了,跟小时候完全不一样了。谢谢你陪我,夏天。」旁白要求:语气回暖但依然克制,"谢谢你陪我,夏天"是全片最轻最慢的一句,像在耳边说的,声音轻到快要听不见,句尾自然消散。字幕:画面下方居中必须显示楷体字幕「7月8号。你一岁了,跟小时候完全不一样了。谢谢你陪我,夏天。」,暖黄色半透明,随旁白同步淡入淡出

Reference prompts (1)

This clip was made by generating reference images with the prompts below, then driving the video with the prompt above.

参考文档

夏天的日记本v2.docx(1.0MB,手册未公开文档本体)

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Creative brief PPTX to a bare-skin skincare ad

根据我的提案文档,生成素研SĒRA光蕴精华品牌广告片——一个关于「清晨三分钟」的故事。女主角从醒来到护肤到出门,全程素颜,用自然光的质感证明:好的皮肤不需要遮盖,只需要被善待。全片零旁白、零产品功效宣称,仅靠画面情绪传递「素颜自信」的品牌态度 。保证主角的一致性。最后的镜头以产品图收尾。

Reference prompts (1)

This clip was made by generating reference images with the prompts below, then driving the video with the prompt above.

参考文档

素研SĒRA-光蕴精华-创意提案.pptx(8.9MB,手册未公开文档本体)

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Monthly GMV spreadsheet to a Keynote-style data video

总时长22秒,4个片段顺序拼接。全片纯白底,柔色色块与简洁线条图表,Apple Keynote式极简商务风格,无衬线深灰字体。BGM(必须有,贯穿全片,音量清晰可闻):一段轻快的商务背景音乐,节奏稳定、旋律简洁,从第一秒开始就有音乐,全程不间断,旁白出现时音乐不消失、音量略低于人声。音效层:色块滑入时'嗖'的whoosh声、数字跳动时轻键盘'咔嗒'声、关键数据弹出时清脆的'叮'一声bell。旁白:英文男声或女声,明快自信,语速约2.5词/秒,像在季度会上做presentation的语气——专业但不冰冷,有节奏感,关键数字处微微加重。 H1-2026跨境电商月度GMV.xlsx 片段1:全景,中心构图,纯白底,柔光,极简商务风格,视觉参考参考图1的干净白底+柔和色块。纯白画面从中央展开,无数金色光粒子从画面四周向中心汇聚聚拢,粒子碰撞闪烁后凝结成标题文字'H1 2026 · Wan',文字表面泛着流动的数据流光效,边缘有微光粒子持续环绕飘散,整体炫酷而高级。停留片刻后标题化作粒子流散消失,下方同时滑入两组大号深灰数字——左侧是第7行B7单元格的值$1,580(1月GMV)、右侧是G7单元格的值$3,460(6月GMV),中间一个浅灰色箭头连接,箭头下方浮出浅灰小字'Monthly GMV Growth'。底部弹出一枚珊瑚色圆角标签,显示第8行H8单元格的值+45.7%(H1整体增幅),弹出时伴随清脆的'叮'一声。旁白明快自信地说道:'In the first half of 2026, monthly GMV grew from 15.8 to 34.6 million dollars.' BGM从画面第一秒起就清晰响起,轻快节奏贯穿,色块滑入时带轻微的'嗖'whoosh声。片段末尾色块向两侧平滑滑开,露出下一段画面。 片段2:全景,左侧Y轴+底部X轴构图,纯白底+浅灰点状网格,柔光,极简商务风格,视觉参考参考图2的趋势线图风格。画面底部X轴从左到右依次清晰标注六个月份标签:Jan、Feb、Mar、Apr、May、Jun,等距排列,浅灰色无衬线字体。左侧Y轴标注数值刻度。画面从左向右同时绘制三条趋势线——珊瑚色代表东南亚(数据取自第4行:B4=$580, C4=$640, D4=$750, E4=$880, F4=$1,050, G4=$1,280)、青蓝色代表北美(第5行:B5=$420, C5=$480, D5=$560, E5=$680, F5=$860, G5=$1,260)、琥珀色代表欧洲(第6行:B6=$580, C6=$610, D6=$680, E6=$750, F6=$830, G6=$920),三条线从Jan同一位置出发,随节奏向右上方延伸至Jun。线条下方各带30%透明度渐变填充。每个月份节点到达时,数据点轻弹一下,正上方浮出该点的精确数值标签——标签只显示美元数值,不显示百分比、不显示其他文字,数值必须与上述单元格完全一致。右上角滑出图例:三个色块配市场英文名。六个点全部到达后画面定格片刻。旁白节奏稳定地说道:'All three markets — Southeast Asia, North America, and Europe — showed consistent month-over-month growth, with no single dip.' BGM持续可闻,数字弹出时伴随细碎的'咔嗒'键盘音。6月终点标签放大填满画面后缩小重组,过渡至下一段。 片段3:全景,左60%柱状图+右40%数据列构图,纯白底,柔光,极简商务风格,视觉参考参考图1的柱状图风格。白底上从左到右依次升起6根青蓝色圆角柱体,分别对应1月至6月——必须完整展示6根柱子,柱体高度严格对应第5行North America各月数值:B5=$420, C5=$480, D5=$560, E5=$680, F5=$860, G5=$1,260,从低到高递增排列,呈现明显的逐月增长趋势。每根柱体升起时带轻微的'嗖'弹性音效,柱顶浮出对应的精确美元数值标签。柱体全部就位后,右侧纵向排列滑出5个北美逐月环比增长率,分别由相邻两月数值计算得出:Feb +14.3%(C5相对B5)、Mar +16.7%(D5相对C5)、Apr +21.4%(E5相对D5)、May +26.5%(F5相对E5)、Jun +46.5%(G5相对F5)。每个增长率显示为:翠绿色向上箭头图标 + 百分比数值(如↑+14.3%),整体呈阶梯状从上到下依次排列,绿色箭头强调增长态势,字体略大确保清晰可读。每个数字滑入时带一声细碎的'咔嗒'。最后,北美整体增幅用珊瑚色大号字体从中央弹出:+200%(由G5=$1,260相对B5=$420计算),伴随清脆的'叮'一声bell,停留片刻,数字周围散发轻微光晕。旁白在关键数据处微微加重语气:'North America was our growth engine — up two hundred percent in just six months, accelerating every single month.' BGM持续清晰,节奏逐渐推向高点。整体增幅数字居中放大,周围元素柔和淡出,过渡至尾段。 片段4:全景,中心构图偏上,纯白底,柔光,极简商务风格,视觉参考参考图3的环形图风格。白底中央浮现一个简约环形图(甜甜圈图),只有三段弧形,分别用珊瑚色、青蓝色、琥珀色渲染三个市场的H1占比——东南亚占比由H4=5180计算、北美由H5=4260计算、欧洲由H6=4370计算,三者总和H7=13810。三段弧形之间用白色间隙分隔,环形图整体干净简洁,图表上没有任何百分比符号、没有任何数字标注、没有任何散落的标签,只有纯粹的三段色弧。环形图以约10°/s的速度缓缓旋转。环形图正中央显示一个大号深灰数字,该数字从0快速跳动至H7单元格的值$138.1M(即13810万美元),跳动时伴随连续的细碎'咔嗒'声,最终数字落定时一声清脆的'叮'。下方淡入一行浅灰副标题'Three Markets · All Growing · Zero Downturn'。旁白沉稳收尾,说完留1秒静音:'138 million in total — all markets growing, zero downturns.' BGM持续可闻,最后缓缓衰减,1秒静音后全片结束。

Reference prompts (1)

This clip was made by generating reference images with the prompts below, then driving the video with the prompt above.

参考文档

H1-2026跨境电商月度GMV.xlsx(10.3KB,手册未公开文档本体)

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Web page to a quantum physics explainer

帮我把网页里讲量子力学的内容,转成通俗有趣的科普短视频

Reference prompts (1)

This clip was made by generating reference images with the prompts below, then driving the video with the prompt above.

参考网页(link_url)

https://baike.baidu.com/item/%E9%87%8F%E5%AD%90%E5%8A%9B%E5%AD%A6/131692

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Web page to a kids' animation: Who is Wang Wei?

根据该王维的百科介绍,我要给一年级的孩子们做一个“谁是王维”的动画视频

Reference prompts (1)

This clip was made by generating reference images with the prompts below, then driving the video with the prompt above.

参考网页(link_url)

https://baike.baidu.com/item/%E7%8E%8B%E7%BB%B4/37558

How to write great Wan 3.0 prompts

  1. 1Number your materials and address them by slot. Wan 3.0 reads references positionally: "figure 1", "video 1", "audio 1", with images, videos and audio counted separately. The handbook prompts do exactly this, for example "the girl in figure 1 wears the blouse from figure 2". Name the slot, never the file.
  2. 2Write a timeline for anything over 10 seconds. Nearly every 30-second case is written as segments: "0-4 s wide shot", "shot 2 (4-9 s) close-up". The model follows a timeline far better than a paragraph of adjectives, and saying "one continuous take" keeps it from cutting.
  3. 3Write the sound, Wan 3.0 generates it. Every clip carries a synced audio track. The handbook marks effects inline as <cloth rubbing the bar> and dialogue in {braces} or quotes; ambience, a BGM cue and a spoken line each land as written. A prompt with no sound gets generic audio.
  4. 4For edits, say what changes and what must not. Editing prompts open with "edit the video", name the element, and always close with a lock: "the woman's action and the rest of the frame stay unchanged". Without that lock the model re-imagines the whole frame.
  5. 5References carry identity, words carry the action. With a character card or portrait attached, the prompt repeats the traits that must not drift (hair, wardrobe, accessories) and spends the rest on blocking and camera. Two people need two references; two voices need two audio clips.
  6. 6Give an extension a script, not just a length. Extension prompts state the direction ("extend forward 15 s") and then write the new beats with the characters named from the existing footage, dialogue included. A bare "continue" produces filler.
  7. 7Frame mode and reference mode do not mix. On the API first_frame_url / last_frame_url and reference_* / file_url / link_url are mutually exclusive. A first-frame prompt describes motion out of that frame; a reference prompt talks to figure 1 and friends.
  8. 8State duration and aspect ratio up front. The handbook prompts open with "10 s, 16:9, 1920x1080" or "vertical 9:16, 15 s". Wan 3.0 takes 2-30 seconds and 480P / 720P / 1080P; put the numbers in the prompt and match them with the duration parameter.

Prompt formula

Duration + aspect ratio + reference slots (figure 1 / video 1 / audio 1) + timeline segments + subject with locked traits + camera move + light and palette + sound tags + what must stay unchanged

Example: 15 s, 16:9. Figure 1 is the only reference for the woman; keep her short black hair and beige trench. 0-5 s: wide shot, she pushes open a glass café door onto a cobbled street, <heels on stone>. 5-10 s: slow dolly in to a mid shot as she unfolds a paper map. 10-15 s: close-up, she looks up and says "It should be this way." Warm afternoon backlight, film grain, street ambience throughout.

Frequently asked questions

Where do these Wan 3.0 prompts come from?

All 64 prompts and clips come from the Wan 3.0 creator handbook that the Tongyi Wanxiang team published for the model launch, linked above. Every prompt is kept verbatim in its original Chinese, and the sample clips are re-hosted so they keep playing; nothing was regenerated. The reference images and documents some cases used were not published with the handbook, so those cards carry the prompt and the result only.

Where can I run Wan 3.0?

On apimodels.app as model wan-3.0-video, on the same unified video endpoint as VEO, Kling and Seedance: $0.045 per second at 480P, $0.09 at 720P, $0.18 at 1080P, billed only on success, with mode "prime" for the faster tier at roughly 50% more. Reference images, audio, documents and web pages cost nothing extra; a reference video adds its own duration to the billed seconds. No Alibaba Cloud account or mainland real-name verification is needed. The model is also available on Alibaba Cloud Model Studio and the Wan web app.

Do the prompts work in English?

Yes. Wan 3.0 accepts English and Chinese; what matters is the structure the handbook uses: numbered material slots, time segments, sound tags and an explicit "everything else stays unchanged" on edits. Translate the words and keep the skeleton. We leave the originals in Chinese because a translated prompt is not the prompt that produced the clip.

How do the editing and extension cases pass the input video?

Through reference_video_urls, with the prompt addressing it as "video 1". Edits keep the input length; extension prompts state the direction and the added seconds. Upstream caps input plus output at 30 seconds, and billing counts both.

Can I use these clips commercially?

The clips belong to their publisher and are shown here as examples of what each prompt produced. Anything you generate yourself is governed by Alibaba's terms for Wan. The prompt text you can copy, edit and reuse freely.

Run these prompts on apimodels.app

Wan 3.0 is live here alongside 160+ other image, video, audio and language models — one API, one key, pay as you go, with $0.10 of trial credit on sign-up.

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