
Alibaba Cloud's AI multimodal content...
Alibaba Cloud's core product in multimodal AI content generation with comprehensive image + video development. Qwen-Image's complex text rendering is unique for embedding text in images, practical for e-commerce. Wan2.6 supports 15-second videos with first-last frame generation at 720p. Enterprise API via Bailian platform. Particularly suited for enterprise developers, e-commerce teams, and technical teams needing API-level generation.
Tongyi Wanxiang is Alibaba Cloud's AI multimodal content platform supporting image generation, editing, and video generation. Powered by Wan series and Qwen-Image models for text-to-image, style transfer, text-image composition, text/image-to-video, and smart storyboarding. Wan2.6 supports 15-second videos. API available via Alibaba Cloud Bailian.
Difficulty: Intermediate
AI Image Generation & Editing
Text-to-image, image-to-image, style transfer, text-image composition with Qwen-Image for complex text rendering
AI Video Generation
Wan2.6 supports text/image-to-video up to 15 seconds with first-last frame and smart storyboarding
Enterprise API Service
Standardized API via Bailian enables developers to integrate generation into their products
Multimodal Content Editing
Similar image generation, style transfer, partial editing with up to 2000-character prompts
E-commerce Marketing Batch Generation
E-commerce teams batch generate product posters with precise Chinese text via API
Short Video Content Production
Creators quickly produce marketing short videos using text/image-to-video features
In-app AI Image Integration
Developers embed generation capabilities into their applications via Bailian API
Tongyi Wanxiang offers free online experience. Deep or commercial use requires API quota via Alibaba Cloud Bailian. Enterprise users can apply for free trial credits.
Yes. Standardized API via Bailian platform for all core features. Developers can integrate with Python and JavaScript SDKs with prompts up to 2000 characters.
Real reviews and feedback from users