Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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Nano Banana
✓ verifiedFreemium
Third-party editor reselling Nano Banana for one-shot, natural-language image editing with character consistency.
1.5M visits/mo
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BigJPG
✓ verifiedFreemium
Deep-learning image enlarger, especially strong on anime and illustrations, with a free tier and an API.
1.4M visits/mo34K saves
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Wan AI
✓ verifiedFreemium
Alibaba's Wan AI platform for generating video and images from text or reference images, part of the Tongyi generative AI family.
3.1M visits/mo49K saves
Pricing
Basic: $9.9/mo (15000 credits/yr, ~750 images)
Pro: $23.9/mo (36000 credits/yr, 5 seats)
Enterprise: $63.9/mo (120000 credits/yr, 30 seats)
Free trial available
Free: $0 (20 images/mo, 4x max)
Basic: $6 (2 months, 500 images/mo, 16x)
Standard: $12 (6 months, 1000 images/mo)
Premium: $22 (12 months, 2000 images/mo)
No public pricing
Core features
- ✦Natural-language one-shot editing
- ✦Multi-image support
- ✦Character and scene consistency
- ✦Nano Banana, Pro and 2 models
- ✦Seedance 2.0 video generation
- ✦Watermark-free commercial output on paid plans
- ✦Deep CNN super-resolution upscaling
- ✦Noise reduction and edge smoothing
- ✦Up to 16x enlargement (paid)
- ✦API access
- ✦Desktop and mobile apps
- ✦Offline enlarging for logged-in users
- ✦Text-to-video generation
- ✦Image-to-video generation
- ✦Text-to-image and image editing
- ✦Open-source model releases for developers
- ✦Part of Alibaba's broader Tongyi AI ecosystem
Use cases
- →Editing photos with a single prompt
- →Preserving scenes while changing subjects
- →Generating images and short videos
- →Enlarging anime art and illustrations
- →Upscaling photos without quality loss
- →Batch/API image enlargement
- →Preparing images for print
- →Content creators generating short AI video clips
- →Developers building on open-source Wan model weights
- →Marketers producing quick visual content
- →Researchers experimenting with video diffusion models
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