Uniform Video Creator
Create vertical uniform-swap short videos instantly
Uniform Video Creator
Create vertical uniform-swap short videos instantly
Showcase
Description
The AI Uniform Video Creator skill lets you upload a character reference image, generate a styled character portrait based on your desired uniform, and produce a complete 9:16 vertical story short video through segmented generation and stitching. It features an opening couch scene, voiceover instructions, character exit for costume changes, and re-entry interactive storytelling. Support for custom clothing, hairstyles, accessories, lines, and actions makes it ideal for video generation models and short-form drama content creation.
Recommended by
Dancang
Why we love this skill
Seamlessly maintains character and living room consistency across three generations while naturally transitioning through JK, nurse, and flight attendant uniforms, making it ideal for fast vertical story-driven short videos.
Best for
Best for short-form video creators producing character-consistent uniform change drama content in a single setting.
How to use this Skill
Provide your input
Upload a character reference image and uniform reference images, and specify adjustments needed for clothing, hairstyle, accessories, dialogue, or actions.
Run the Skill
The system generates multiple vertical scene-matched costume change video segments based on your references, then seamlessly combines them.
Review your result
Receive a realistic vertical 9:16 costume change drama short video featuring character exit, costume switch upon re-entry, and interactive dialogue.
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AI Try-On Video Generator
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.
VideoVirtual Try-On Video Generator
[Target Audience]: Apparel store owners, fashion bloggers, shopping short video creators, brand new arrivals, and transformation content for platforms like Xiaohongshu and Douyin. [Features]: Consistent face and accurate clothing colors: each outfit is independently generated using "character + that outfit" 6 mature styles, plus support for custom scenes Automatically matches YouMind's image and video models, defaulting to the most stable combination Generates images first, waits for your confirmation, then generates videos to save video credits [Styles or Scenes]: 1. Fisheye Glare: circular fisheye + flare jump cuts, trendy, fast, eye-catching 2. Magazine Editorial: neutral grey background + slow push-in + cross dissolve, high texture 3. Street Snap Camera: street walking + whip pan outfit change, authentic lifestyle feel 4. Retro Film: grain + date stamp + film burn edges, nostalgic and artistic 5. Beat Sync Transformation: fixed camera + snap/spin instant outfit change, great with music 6. Selfie Vlog: front phone camera perspective + hand-covering-lens outfit change, great for product recommendations · Defaults to style 1 if unselected; you can also write "I want something like a Japanese magazine style" or "in a coffee shop", etc. [One-Sentence Summary]: You just need to upload a portrait photo (or skip it, and a matching model will be automatically generated) and 3 to 6 clothing images, then choose a style: Fisheye Glare, Magazine Editorial, Street Snap Camera, Retro Film, Beat Sync Transformation, or Selfie Vlog, or directly describe your desired scene. It first profiles each piece of clothing, locks in the same character, and then sequentially generates final look images, storyboard keyframes, and video clips, finally providing an editing and transition list accurate to the second. Every step can be confirmed and redone individually without starting over from scratch.
VideoAI Hand-Dressed Video Maker
【Who it's for】 1. Fashion e-commerce sellers, Taobao and Douyin shop owners, and cross-border DTC sellers: quickly create showcase videos for an outfit without hiring models or filming. 2. Outfit bloggers and OOTD accounts: make series such as “A Week of Work Outfits” and “Outfit Ideas for Different Settings” in batches for consistent daily posting. 3. Affiliate creators and livestream teams: create traffic-driving Shorts with storefront and product links. 4. MCNs and content studios: replicate the same workflow across multiple accounts, changing only the clothing and style. 5. Fashion designers, wholesale sellers, and buyers: quickly create launch previews and product-testing assets from new-arrival images. 6. AI video creators: build accounts in the “AI outfit change” niche and break down or recreate this type of content. 【How to monetize】 Fashion affiliate sales: add the video to a storefront, shopping cart, or product link to earn commissions or sell your own products. Brand deals after growing an account: outfit accounts can pursue brand collaborations, sponsored campaigns, and product exchanges. Done-for-you services: create launch videos in batches for small and midsize fashion sellers, charging per video or per month. Find clients on Xianyu and Xiaohongshu. Sell assets and templates: package finished videos by style and sell them as asset packs or prompt packs. Cross-border sales: finished videos require no spoken language, so they can also be posted on overseas platforms and used with international DTC stores and affiliate marketing. 【Product description】 In one sentence: upload one person photo and several clothing images to automatically generate a vertical outfit-change video in which real hands help the model put on each garment step by step. If no person photo is provided, a matching model is generated automatically. If no clothing images are provided, outfits are matched automatically by style. 【How it differs from standard outfit-change videos】 Each garment has a complete four-beat dressing sequence: shown as it enters the frame, being put on, fully in place, and adjusted at the end. You can see hands holding the cuffs and guiding the garment onto the model instead of seeing an instant change. Storyboard images with a “half-dressed state” are generated first to lock in each step, then the video is generated in segments. The face stays consistent, and clothing colors do not bleed between garments. Starting outfit options: basic homewear by default, or the original outfit from the person photo. Built-in platform compliance rules: clothing stays complete throughout, with no undressing. Hands touch clothing only, not skin. Videos can be posted to Douyin, Xiaohongshu, WeChat Channels, and YouTube Shorts.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
- Use cases
- Images & designVideo & audio
- What you get
- Video
- Visual styles
- Photorealistic
