Luma UNI 1 AI Generator
Generated on PixelDojo with Luma UNI 1 (Standard). Produced by PixelDojo's generation pipeline.
Luma UNI 1 Standard costs 1 credit per call, the same tool's MAX variant costs 3. We sent it a reference image of a character and a prompt asking to place her on a bicycle in a new rainy street scene, keeping her face, hair, glasses and outfit identical. That edit ran on August 26, 2026 for 1 credit and finished in about 169 seconds. This page covers the price, what we measured in the output, and when the MAX tier is worth the extra 2 credits.
The 1 credit scene-placement edit, unedited
Every example below was produced on PixelDojo. Hover to see the prompt.

Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neon shop signs reflecting in puddles, cinematic wide shot, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical
Luma UNI 1 (Standard)
What 1 credit gets you on Standard
Text-to-image and reference editing share one endpoint
Sending reference_images alongside the prompt switches Luma UNI 1 into edit mode automatically. Leave that field empty and it generates from the prompt alone.
What we saw in the output
The reference woman appeared with her red curly hair, round glasses, denim jacket and yellow shirt collar all present, riding a bicycle across a rain-slicked crosswalk at dusk with neon signs reflected in the wet pavement.
The aspect ratio came back letterboxed, not filled
We requested 1:1 and the file is a 2048 by 2048 square, but the actual scene renders as a wide cinematic frame with white bars above and below it rather than filling the full square.
Standard vs MAX is a straight 3x price difference
MAX costs 3 credits against Standard's 1, described in the tool as the quality-first pick. Standard is what we tested here.
Up to 4 outputs per request
num_outputs takes 1 to 4, multiplying the per-image price. A 4-image sweep on Standard is 4 credits.
One reference-guided edit request, one character image, August 26, 2026. 1 credit, about 169 seconds, 2048x2048 output.
Why Choose Pixel Dojo for Luma UNI 1
Professional-quality results with cutting-edge AI technology
1 credit per call on Standard
The cheapest way to run this model, timed at about 169 seconds on August 26, 2026.
Identity elements carried through the edit
Hair color, glasses, and outfit all matched the reference character in our result.
2048x2048 output resolution
Luma's recommended size for the 1:1 aspect ratio setting.
How It Works
How we ran it, so you can repeat it:
Send a reference image to trigger edit mode
Populating reference_images is what switches Luma UNI 1 from text-to-image into reference-guided editing.
Spell out exactly what to keep identical
Our prompt named the hair, glasses, jacket and shirt directly, and all four carried through to the new scene.
Run it in the app or over the API
Generate from the Luma UNI 1 page, or POST to /api/v1/models/luma-uni-1/run. Ours took about 169 seconds and charged 1 credit.
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Common Questions
Everything you need to know about Luma UNI 1
What does Luma UNI 1 cost?
1 credit per call on Standard, 3 credits on MAX. The price multiplies by num_outputs if you request more than one image per call.
How fast is it?
About 169 seconds for our reference-guided edit on August 26, 2026. Turnaround moves with queue load, so treat that as a typical figure.
Does it keep a character's identity consistent when editing?
In our test, yes for the elements we asked it to hold. The reference character's red curly hair, round glasses, denim jacket and yellow shirt collar all carried into the new scene.
What resolution does it output?
2048 by 2048 pixels for the 1:1 aspect ratio in our test. We noticed the actual scene renders letterboxed inside that square, with white bars above and below, rather than filling the full frame.
How is Standard different from MAX?
MAX costs 3 credits against Standard's 1, a 3x premium, and is described as the quality-first variant. Both share the same prompt, aspect ratio, and reference-image input shape.
How do I call it from the API?
POST to /api/v1/models/luma-uni-1/run with your API key, a prompt, model set to standard or max, and reference_images if you are editing rather than generating from scratch.