Text to image in about two seconds with eight-step distilled model
AI image upscaler for enlarging photos and artwork online
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
HK
Pricing model
Freemium
Freemium
Pricing
Free credits available; paid annual plans with 50% launch discount: Basic $9.9/month (800 credits/month, 9600 credits/year), Professional $19.9/month (2000 credits/month, 24000 credits/year), Enterprise $44.9/month (6000 credits/month, 72000 credits/year). Monthly plans also available. Per-render co
Free: 50 credits per month. Premium: $9.90/month with 500 credits per month. Business: $19.90/month with unlimited credits. All plans allow commercial use. Paid plans include batch processing of up to 8 images and 4K enhancement.
Key features
Eight-step sampling produces 1024px drafts in roughly two seconds
Text to image and image to image workflows in one workspace
Support for LoRA attachments with no extra render cost
Resolution from small exploratory sizes up to 2K
Open weights published under custom licence permitting commercial use
Photographic base behaviour from 12B model trained from scratch
LoRAs behave as bipolar sliders for intensity control mid-series
Browser-based workspace with no GPU or local install required
Same 12B backbone as standard Krea 2 via trajectory distillation
Unlimited exports in PNG, JPG and WebP formats
Batch processing of up to 8 images on paid plans
Comparison slider to preview results before downloading
Support for JPG, PNG, WebP, and AVIF formats
4K enhancement on paid plans
Automatic deletion of images within 24 hours
Commercial use allowed on all plans
Edit capability before downloading results
No ads on paid plans
Works with photos, artwork, and scanned pictures
What makes it different
Two-second generation speed enables iteration-heavy workflows instead of single-frame rendering
Open weights allow running the same model locally without vendor lock-in
Trajectory distillation preserves detail of full 12B model at eight-step speed
AI generates realistic detail rather than just stretching pixels
Batch processing saves time for users with multiple images