Neon Noir Vector
Black, white, and one electric line of red.
Upload a clear photo where every face is easy to see — works for one person or a group.
What it does
Turns your photo into a bold monochrome vector portrait with crisp cel-shading and a cinematic red neon rim light.
When to use it
- Make a striking black and white profile picture with a neon edge
- Create a poster-style portrait for prints or wall art
- Turn a couple or group photo into a coordinated neon noir poster
- Give your social feed a bold, editorial monochrome look
- Design an edgy avatar for music, fashion, or creative brands
- Produce a high-contrast cover image for a playlist or profile
When not to use it
- Keeping the original full-color, photo-real look of your image
- Distant or tiny faces where features are hard to read
- Busy crowd scenes where individual faces blur together
- Wide scenic photos with no clear person as the subject
How it works
Upload a clear photo of one or more people and the model rebuilds it as a high-contrast black and white vector portrait. It simplifies each face into clean cel-shaped planes, lays in strong blacks and crisp white highlights, and traces a red neon rim light along the edges. Every person's identity, expression, position, pose, and the overall framing are preserved while the look is fully restyled into graphic poster art against a pure black background.
Updates
- v1Jun 10, 2026
Initial release
Specifications
- Approach
- Rebuilds your photo as graphic black and white vector art with one neon accent.
- Stylization
- Crisp vector linework, flat cel-shaded shadow blocks, angular highlights, and red neon rim light.
- What stays
- Each person's facial identity, expression, hairstyle or head covering, positions, spacing, pose, and framing.
- What changes
- Color becomes monochrome, shading becomes graphic cel-shading, clothing and background are restyled.
- Ideal source
- A clear, well-lit photo where every face is easy to read.
- Maximum input
- Up to 25 MP per image
- Supported formats
- JPEG, PNG, HEIC
- Output format
- PNG — preserves the crisp edges and clean blacks of the vector look.
- Pricing
- 3 credits per image
Frequently asked questions
Will it still look like me?
Yes. The model preserves your core facial structure, expression, hairstyle or head covering, and overall likeness. It simplifies your features into clean vector planes but does not redesign you into a different person.
Does it work with more than one person?
Yes. If your photo has several people, each one is kept separate and recognizable — their positions, spacing, poses, and individual faces are preserved. It will not merge faces, clone anyone, remove people, or add extra ones.
Is the whole image black and white?
The portrait itself stays fully monochrome black and white. The only color is a vibrant red neon rim light tracing the hair, jawlines, and silhouettes — used purely as an accent edge glow.
What does it add to the look?
It restyles the clothing in a sharp modern way, sets a pure black background, and adds the red neon edge light. It will not add scenery, props, text, or extra people.
What photo works best?
A clear, well-lit photo where every face is easy to read, with the subject or subjects facing the camera. Sharp, front-facing shots give the cleanest cel-shaded result.
What about aspect ratio and cropping?
Results are produced in a 4:5 portrait frame, so very wide or unusually cropped photos may be tightened around the face. A natural head-and-shoulders composition keeps the framing close to your original.
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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