Collart is an AI visual creation platform developed and operated by AtlasV, specializing in fashion, e-commerce, portrait, and social media content creation. It helps brands, merchants, and creators transform product images, model photos, selfies, and creative references into high-quality images and videos for marketing, social distribution, and personal branding.

● Production Constraints: Traditional production requires models, photographers, studios, styling, and post-production resources, while brands, e-commerce sellers, and creators face growing demand for high-quality visual content.

● Limited Scalability: Manual workflows are slow and difficult to scale across multiple looks, scenes, and creative variations, unable to keep pace with growing demand.

● Capability Gaps: Collart needed stronger AI image and video generation capabilities to make commercial visual production faster, more accessible, and easier to scale.

● Multimodal Generation Capabilities: Wan 2.7 provides advanced multimodal generation capabilities that align closely with Collart's core scenarios.

● Scenario Support: Wan 2.7's image-to-video, image-to-image, multi-shot video generation, audio-visual synchronization, and video editing capabilities support fashion videos, dynamic portraits, outfit showcases, and commercially ready short-form content.

● Scalable Integration: Alibaba Cloud provides a scalable platform for integrating Wan 2.7 capabilities into user-facing workflows.

Collart integrates Alibaba's Wan 2.7 capabilities into its user-facing AI creation workflows.



● Fashion Video Generator: Users upload model images, clothing images, product photos, or complete outfits, then select a reference video to guide motion, camera rhythm, and visual atmosphere. Alibaba's Wan 2.7 image-to-video capabilities generate movements such as turning, walking, product showcasing, outfit transitions, and camera push-ins.

● AI Portrait Creation: Wan 2.7 image-to-image and image editing capabilities support portrait style transformation, background replacement, outfit changes, multi-image reference creation, and consistent visual series.

● Video Enhancement: Wan 2.7 video editing, multi-shot generation, and audio-visual synchronization capabilities further extend static images into complete short-form video assets.

● Static-to-Dynamic Content: Enabled users to convert static product, model, outfit, and portrait images into AI-generated images and videos for social media, e-commerce, advertising, and personal branding.

● Fashion Video Generation: Supported scenarios including outfit showcases, walking, turning, product presentation, outfit transitions, and reference-video-guided motion.

● Dynamic Portraits: Extended portrait workflows from static image generation to dynamic portrait videos with subtle motion, camera movement, and expressive visual storytelling.

● Production Efficiency: Reduced reliance on traditional shooting and post-production workflows by enabling faster multi-version creative generation.

Collart will continue exploring how Alibaba's Wan can enhance AI fashion videos, portrait creation, image editing, and dynamic visual content generation. Future work will focus on improving generation quality, user control, commercial usability, and scalable workflows for creators, fashion brands, e-commerce merchants, and content teams.