Woodblock Mythos
Your photo, redrawn as a majestic woodblock-print legend.
What it does
Reimagines your whole photo as a flat, decorative woodblock illustration with Art Nouveau linework and a majestic mythological mood.
When to use it
- Turn a beloved pet photo into a regal, framed-print-style illustration
- Create decorative wall art with a bold, ornamental woodblock look
- Give wildlife or nature shots a high-fantasy, mythological treatment
- Design striking avatars and profile art with strong graphic linework
- Make collectible-feeling illustrations from everyday animal photos
- Produce cohesive, edge-to-edge stylized art for cards and gifts
When not to use it
- Photos where you need the original realistic look preserved
- Documents, screenshots, logos, or text-heavy images
- Cases needing exact, unstylized color and detail accuracy
- Group photos where every individual face must stay photo-true
How it works
Upload a photo and the model redraws the whole frame as one flat, ornate illustration in a woodblock-meets-Art-Nouveau style. It keeps the subject's species, pose, framing, and key markings recognizable while replacing photographic textures with crisp ornamental linework, flat color fields, and cel-shaded lighting. The background becomes a decorative illustrated environment, and the original aspect ratio is preserved so the art stays inside your photo's boundaries.
Updates
- v1May 31, 2026
Initial release
Specifications
- Approach
- Full-frame redraw into one cohesive woodblock-and-Art-Nouveau illustration — no photorealistic leftovers.
- Stylization
- Flat color fields, ornamental linework, cel-shaded lighting, strong contrast, printed-illustration texture.
- What stays
- Species, pose, body direction, camera angle, framing, silhouette, and main natural markings.
- What changes
- Realistic textures, lighting, and background become flat decorative illustration with mythic motifs.
- Ideal source
- A clear, well-lit animal or nature photo with a readable subject and pose.
- Maximum input
- Up to 25 MP per image
- Supported formats
- JPEG, PNG, HEIC
- Output format
- PNG — preserves the crisp edges and flat color fields of the illustration.
- Pricing
- 3 credits per image
Frequently asked questions
Will my subject still be recognizable?
Yes. The model preserves the species, pose, body direction, framing, silhouette, and main natural markings of your photo. It reinterprets everything through ornamental linework and flat color, but the result still clearly reads as your original subject.
How far does the stylization go?
All the way. This is a full-image transformation, not a subject-only filter. The animal, its textures, and the entire background are redrawn under one unified illustrated look, so nothing is left photorealistic.
What does it add to the image?
It adds crisp ornamental linework, flat decorative color fields, cel-shaded lighting, a luminous eye, and a stylized illustrated background with subtle cloud and foliage motifs. It won't invent new subjects or change your composition.
What kind of photo works best?
A clear, well-lit shot with a readable subject and pose — animals and nature scenes shine here. Sharp detail in fur, feathers, or scales gives the linework more to work with.
Will it change the aspect ratio or crop?
No. The original aspect ratio, crop, framing, and orientation are preserved. The illustration is fitted inside your photo's boundaries — no widescreen reframing, no poster or trading-card layout.
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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