AI virtual try-on tool that changes clothes and styles with one click
Professional image generation and editing platform powered by Alibaba Tongyi's Z-Image series models
Stage
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free plan available with limited features. Basic: $8/month or $96/year (billed yearly, save $83). Standard: $28/month or $336/year (billed yearly, save $144). Yearly plans include 30% monthly discount. One-time credit packages also available.
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Key features
Multiple AI models including Nano Banana Pro, GPT-4O, Flux, and Seedream
Upload own photos or select from official model library
Customizable prompts to control poses, lighting, backgrounds, and outfit details
Upload multiple clothing items and accessories at once
Generated images saved for 14 days
Commercial license for e-commerce use in paid plans
Download and share generated outfit photos
Ads-free experience in paid plans
Faster generation speed in paid plans
Unused credits roll over during active membership
Text-to-image generation
Image-to-image editing with natural language instructions
Bilingual Chinese and English text rendering
Sub-second latency generation with Z-Image-Turbo
6 billion parameter efficient model architecture
Photorealistic image generation
Commercial use license
No watermark output
Access to prompts gallery
What makes it different
Three-step process: upload model, add clothing, generate outfits in minutes without editing skills
Supports e-commerce product photography without expensive photoshoots and models
Full control over styling with DIY prompts for customization
Works with multiple AI models for flexibility and choice
Commercial license included in paid plans for product display and e-commerce use
Supports both Chinese and English text rendering for multilingual image generation
Sub-second image generation speed with Z-Image-Turbo
Precise instruction-guided image editing based on natural language
Open-source Z-Image-Base model available for fine-tuning and custom development
Multiple model variants for different use cases and performance needs