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Street Outfit Transition Generator

Street Outfit Transition Generator

Create vertical fashion transition videos for sellers

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三三七
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outfit-flip-video

时长和城市年代你来匹配,人物参考用我上传的人物图片

I'll load the outfit-flip-video skill and run it with your references. 形象卡和四套 Look 都出来了,人物和衣服锁得比较稳。现在开始做视频分镜。 方案确认,开始出片(Seedance 2.0 标准版,2 段 × 12s)。 24s 成品已经合成好了,一条可编辑的竖屏长视频(9:16,1080×1920)。 我为你匹配的设定:1989 年曼哈顿 SoHo。你这四套都是学院休闲 / 牛仔路线,放到 80 年代末的铸铁立面、冷调阴天、胶片颗粒里,条纹、水洗牛仔、薄荷针织、驼色抓绒都能立住,比硬塞进现代街景更有"片子感"。时长按 4 套 × 6s 配成 24s,正好是 2N+1=9 个镜头的比例;单段 15s 上限,所以拆成 12s + 12s,切口压在车辆全遮挡处。 这次的产出: - 人物基底卡 1 张(用你上传的人像锁脸,黑连体衣灰底双联画,后面所有卡的 @image1) - Look Card 4 张:①条纹 T + 深灰褶皱伞裙 + 草帽 + 芥末黄帆布包 ②浅蓝牛仔衬衫 + 同色直筒裤 + 棕绒面手袋 ③薄荷绿 V 领针织 + 白阔腿裤 + 黑腰带黑包 ④驼色半拉链卫衣 + 白 T + 浅蓝阔腿裤 + 米色托特 - 街拍视频两段:0–12s(Look 1→2→3,六镜,两次车辆遮挡换装 + 一次同套推近),12–24s(Look 4,走近露台 → 入座群像 → 27.3s 比例上的发现镜头:先转头、再直视、机位下沉到自己的裤腿和沥青) - 合成成一条 24s Cast,两段各 12s,原生现场声保留(交通、人声、脚步,无音乐无字幕) 一点实话:底部那张"纸片人地图面板"这次没做——它需要从 Look Card 左幅抠透明底纸片人再垫到地图上,这个环境跑不了脚本和抠图,硬做只能是叠在视频外的另一条画面,不是真正的下三分之一叠加。两条路你选:我可以单独出一张带编号纸片人的面板设计图,你在剪辑软件里叠上去;或者你把视频拉进任何剪辑工具,我按每个 Look 首次出现的秒数给你标好 pop-in 时间点。 验收自查:人物全程同一张脸(每卡都吃基底卡)/每个换装点都设计在车辆全遮挡帧上/她始终在人行道上、没过主车道/结尾顺序是转头→直视→沉机位/无字幕无界面元素。如果哪一段的遮挡没挡住、或者表情和你要的气质不搭,告诉我是第几套,我单独重出那一段——形象卡不用动。

One Woman. Four Looks. · 1989 SoHo

Description

Ideal for clothing sellers on platforms like Taobao, Pinduoduo, and Douyin who lack models or shooting setups, as well as fashion creators who need daily content without the hassle of daily shoots, and e-commerce agencies handling high volumes of video requests. Monetization methods include saving costs by replacing traditional shoots, taking on client orders, bulk testing products, and bootstrapping fashion accounts with batch content. Key features include no models or filming required by simply uploading clothing images, seamless outfit transitions triggered as vehicles pass by, a cinematic ending where the protagonist locks eyes with the camera, and a clear styling map panel to preview your outfits and sequence.

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Transform a portrait and clothing images into a first-person interactive vertical short video for virtual try-on. [Input] * Portrait photo (optional): maintains face and person consistency if provided; otherwise automatically generates a matching protagonist based on style * 1-4 clothing images: tops, bottoms, shoes, bags, or accessories, with the upload order matching the dressing sequence * Optional parameters: style, scene, interactive effects, duration, and video count [Output] 9:16 vertical virtual try-on short video. The character remains consistent throughout, the scene is unchanged, clothing strictly matches the uploaded images and is put on one by one by "first-person hands," concluding with a full look freeze-frame. [Core Differences] * Two workflows: storyboard generation followed by video synthesis (controllable, precise clothing order) or direct one-step video generation (fast, suitable for batch production with few garments) * Full automation: automatically generates a matching protagonist without a portrait photo for zero threshold entry * Consistency locking: stable face, hairstyle, scene, and clothing style without drifting across the video * Default compliance: built-in clothing whitelist and negative words with initial styling forced to modest base layers, preventing prohibited content such as underwear, swimwear, stockings, or translucent items for immediate publishing [Who Is It For] * Fashion bloggers and content creators: try three outfits in one video and test styling without wearing them physically * E-commerce and apparel merchants: turn new arrivals into dynamic videos instantly, eliminating model and studio costs for content creation * Xiaohongshu/Douyin/TikTok operators: batch-produce hook videos featuring auto-dressing characters with completion rates higher than static outfit posts * Fashion styling educators, stylists, and buyers: quickly demonstrate multiple outfit options to clients * Independent designers and white-label sellers: create model showcase videos without physical photo shoots [Monetization Opportunities] * E-commerce sales: drive traffic with product links in videos and close sales directly using before-and-after try-on comparisons * Brand commercial deals: batch-produce promotional content for clothing brands with one style per video at a fraction of live-action shoot costs * Account growth: build series columns around try-on videos to grow accounts and monetize through traffic rewards and brand sponsorships * Asset resale: sell generic try-on template packs to peers or use them as training cases for coaching tutorials * Cost reduction for personal use: build an in-house product video asset library, saving time and money on repeated shoots [Applicable Scenarios] Outfit channel content production, e-commerce new arrival showcases, AI short video matrix marketing, outfit styling demos, social media grid posts, and client pitch samples.

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Ways to monetize: 1. Build an account and earn through product sales and brand deals (fashion creators and product recommendation accounts can use it to produce daily outfit changes and review clips. One person can maintain a steady output, then earn commissions and brand partnerships as the content grows.) 2. Take on client work for merchants (clothing stores, small brands, small-appliance sellers, and consumer electronics merchants all need product showcase videos and short ads. Upload their products, deliver finished videos, and charge per video, package, or month.) 3. Create videos for your own products (store owners can use it to make showcase videos for every new product, saving on model, photography, and editing costs and putting more budget toward advertising.) 4. Produce at scale to help teams work more efficiently (agencies and MCNs can integrate it into their production workflow so the same team can create more content across more products and accounts.) Put anything on a person for a one-shot showcase. Upload a person’s photo, then upload anything you want to feature: clothing, shoes and bags, accessories, perfume, hats, phones, earbuds, small appliances, sports equipment, food, and drinks. It automatically generates premium person-centered showcase images and turns them into a coherent, beat-synced short video with music. If no person photo is provided, it automatically designs a model. The default is 15 seconds in 9:16, while duration, aspect ratio, and style can all be customized. Who it’s for: fashion creators, e-commerce sellers and store owners, product-promotion short-video creators, brand content teams, and anyone who wants to turn their favorite products into polished showcase videos.

三
115.9k

Information

Version
v4
Last updated
Runtime credits
Usage-based
Models
Auto

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Street Outfit Transition Generator