Translate manga, manhwa and webtoons into your language on the web or with a browser extension
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Founded
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Based in
TR
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Pricing model
Freemium
Open source
Pricing
Free: 30 free credits (no card needed). Supporter: $2.99/month with 750 credits/month. Pro: $4.99/month with 2,000 credits/month. Ultimate: $9.99/month with 5,000 credits/month. Credit packs: 1,000 credits for $4.99 one time, 2,500 credits for $7.99 one time, 6,000 credits for $14.99 one time. One c
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Web app and browser extension for Chrome, Edge and Chromium browsers
RuneLingua AI translator built for manga dialogue
Support for Japanese, Korean, Chinese into 89 languages
Automatic page translation as you scroll with browser extension
One-click switching per site with extension
Bulk upload of chapters (50-500 pages depending on plan)
Handles vertical Japanese text
Works on colored manhwa
No card required for free account
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
Automatic background redrawing after lettering removal for clean readable pages
In-place translation on reading sites with browser extension, no page navigation needed
Pages never used for model training, automatically deleted after one hour
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives