Fashion video creator - Powered by Wan 2.2 and SegFit 1.3

*** Last updated: 11 Aug 2025**

This workflows generates 720p fashion videos with just one image, no prompts needed. It is great for fashion brands and marketers looking to present their designs in an engaging way. This workflow used Flux Kontext Max to create an image that acts as a starting point for SegFit 1.3 to then replace the attire with the exact attire shared by the user. SegFit is used to make sure that the attire is 100% consistent with the one shared by the user as input. The output from SegFit is then given as starting frame for Wan 2.2 image to video model to generate high quality video output at 720p.

Key Models

• Image Transformation: This flow utilizes Flux Kontext Max to convert flat lays and mannequin images into high-quality photo-realistic visuals.
• Virtual Try-On: Uses Segmind SegFit v1.3 for realistic outfit visualization on different models.
• Prompt Generation: We use Claude 3.7 Sonnet to create scene-appropriate text prompts that guide video creation, ensuring the output aligns with desired visual storytelling. It analyzes the image to determine optimal camera movements like push-ins, pans, and tracking shots to convey the best narrative for fashion presentations
• Video Creation: Converts processed images into engaging fashion videos using Wan 2.2, generating cinematic content that captivates audiences.

Use Cases

This is perfect for fashion brands to generate captivating videos for website and social media, helping them increase engagement and reach. Realistic videos with models helps attract attention to the product and makes ads and social media posts more effective. Brands and agencies can also experiment with different model ethnicities, backgrounds and add audio tracks to improve the content's effectiveness. Influencers can also use this workflow to generate content for them without having to physically shoot for each attire.