Cyanotype Print
Your photo, chemically exposed onto hand-coated paper in Prussian blue.
What it does
An authentic antique cyanotype: your photo rendered in Prussian blue and paper white on hand-coated archival paper, with identity kept intact.
When to use it
- Turn a favorite portrait into a quiet, antique blue keepsake print
- Give couple or family photos a handmade archival-photography feel
- Create a cohesive set of vintage-styled images for a gallery wall or album
- Reimagine travel and landscape shots as classic sun-printed cyanotypes
- Make pet photos look like delicate alternative-process prints
- Produce moody, analog blue artwork for prints, cards or social posts
When not to use it
- Keeping the original colors or natural skin tones
- Clean, modern, high-gloss commercial photo edits
- Adding new scenery, props or decorative botanical elements
- Reading fine printed text or small logos in the source photo
How it works
Upload a photo and the model re-renders the entire image as a cyanotype, mapping every tone to a range of Prussian blue and paper white. It preserves your composition, pose and facial identity while layering in hand-coated paper texture — brushed emulsion edges, grain, soft chemical bloom and gentle vignette — so the output reads as an authentic alternative-process print rather than a recolored photo. You get one finished cyanotype image back.
Updates
- v1Jun 5, 2026
Initial release
Specifications
- Approach
- Re-renders the whole photo as an authentic antique cyanotype print.
- Stylization
- Two-tone Prussian blue and paper white, with hand-coated emulsion texture and grain.
- What stays
- Composition, pose, framing, perspective and every subject's facial identity.
- What changes
- All color becomes blue-and-white chemical tones with paper fibers, bloom and aged edges.
- Ideal source
- Clear photos of people, pets, objects or scenes with readable structure and good lighting.
- Maximum input
- Up to 25 MP per image
- Supported formats
- JPEG, PNG, HEIC
- Output format
- PNG — preserves the fine paper grain and tonal subtlety of the cyanotype.
- Pricing
- 3 credits per image
Frequently asked questions
Will the subject still look like themselves?
Yes. The model is built to preserve facial identity — face shape, eyes, nose, lips, jawline, hairstyle, expression and proportions all stay readable through the blue-and-white tones. The person looks like themselves translated into an antique photographic process, not a faceless silhouette.
Is this just a blue filter on my photo?
No. It re-renders the entire image as a real cyanotype, with paper-white highlights, chemically exposed blue shadows, soft tonal falloff and authentic alternative-process texture. It deliberately avoids the flat look of a digital blue filter or a simple duotone recolor.
Does it add flowers, leaves or other decorations?
No. Classic cyanotypes often feature pressed botanicals, but this model intentionally adds none — no flowers, leaves, stems, lace or contact-print shapes. It only transforms your existing image, plus natural paper texture and emulsion edges.
What kind of photo works best?
Clear, well-lit photos with readable structure work best, whether that's a portrait, a group, a pet, an object or a scene. Strong shapes and good separation between subject and background give the cleanest cyanotype tones.
Will it crop or change my framing?
No. Your original composition, framing, perspective and aspect feel are preserved with high fidelity. The model does not reframe, zoom out or invent a new scene — it keeps your shot and changes the medium.
Can I use the result commercially?
Yes — generated images on upsa are yours to use for personal and commercial purposes. We recommend you keep the consent and rights to the source photo as well, since the output preserves the identity in it.
How long are my photos stored?
Source uploads and generated results are stored for 48 and then automatically deleted from upsa's storage. We don't train any model on your photos.
AI results vary
Each generation uses a different random seed, so your result may not exactly match the example shown. If the first try doesn't fit what you had in mind, run it again — output differs noticeably between runs.
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