Portrait Upscaler
Generated on PixelDojo with Portrait Upscaler. Produced by PixelDojo's generation pipeline.
Portrait Upscaler costs 2 credits at its default 4x scale factor, and our face focused upscale took about 107 seconds on August 26, 2026, returning a 4096 by 5568 file from a 1024 by 1392 source. It runs Crystal Upscaler, tuned specifically to hold facial detail through a large upscale rather than treating a face like any other texture. Here is what the extra resolution actually revealed.
The 4x result, 2 credits, pore level detail
Every example below was produced on PixelDojo. Hover to see the prompt.
4x upscale (default scale_factor) of the fisherman portrait mending a net
Portrait Upscaler
How Portrait Upscaler prices and behaves
Cost scales with the scale factor, in three steps
scale_factor of 2 or less costs 1 credit, above 2 up to 4 costs 2 credits, and above 4 up to the maximum of 8 costs 4 credits. The default is 4, which is where our 2 credit test landed.
What 4x actually revealed
At 4096 by 5568, individual skin pores and fine wrinkle lines on the hands became visible in a way the 2x upscalers in the catalog did not show. The net's woven fiber also separated into clearer individual strands rather than a soft mesh.
It is one setting, one input
The entire request is an image URL plus a scale_factor from 1 to 8. There is no prompt, no creativity dial, no style setting. This is a narrow, single purpose face and portrait upscaler, not a general creative refinement tool.
Real cost depends on measured output size
The declarative price above is a best effort estimate from scale_factor alone. The actual charge is based on the megapixels the model returns, which is why the tool sits in three price bands rather than a smooth per pixel formula.
One 4x face upscale, 2 credits, about 107 seconds. Individual skin pores visible at full size.
Why Choose Pixel Dojo for Portrait Upscaler
Professional-quality results with cutting-edge AI technology
2 credits at the default 4x
1 credit at 2x or below, 2 credits from just above 2x up to 4x, 4 credits from just above 4x up to the 8x ceiling.
About 107 seconds, measured
Timed on August 26, 2026 from request to a finished 4096 by 5568 file at 4x.
Face and skin detail is the point
Pore level texture and fine wrinkles came through clearly, which is what a face specific upscaler is supposed to do that a general one does not prioritize.
How It Works
How our 2 credit, 4x upscale was made:
Start from a clear portrait
We used a close crop already at 1024 by 1392. The narrower the face fills the frame, the less this specific tool has to work with.
Leave scale_factor at its default of 4
That lands in the 2 credit band. Drop to 2 or below for 1 credit, or push toward 8 for the 4 credit band.
Run it in the app or over the API
From the tool page, or POST to /api/v1/models/face-enhance/run. Ours charged 2 credits and returned in about 107 seconds.
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Common Questions
Everything you need to know about Portrait Upscaler
How much does Portrait Upscaler cost?
It scales in three bands: 1 credit at scale_factor 2 or below, 2 credits above 2 up to 4, and 4 credits above 4 up to the maximum of 8. The default scale_factor is 4, which is 2 credits, and is what our test charged.
How fast is Portrait Upscaler?
About 107 seconds in our August 26, 2026 run at the default 4x scale, from request to a finished 4096 by 5568 file.
How is it different from Creative Upscaler and Clarity Pro?
Creative Upscaler is a flat 0.5 credits and general purpose. Clarity Pro charges roughly scale_factor squared credits and targets photorealistic identity preservation across any subject. Portrait Upscaler is narrower still: it is tuned specifically for faces, with no prompt or creativity setting, just an image and a scale factor.
What scale factors does it accept?
Any value from 1 to 8. The default is 4. Higher values cost more, in the three price bands above.
Does it work on photos that aren't close up portraits?
It is built and tuned for face detail specifically, so a subject where the face is small in the frame will see less benefit than a close portrait like the one in our test.
How do I call it from the API?
POST to /api/v1/models/face-enhance/run with your API key, an image URL, and optionally scale_factor. Same key as every other model in the catalog.