National Team Fan
Pick your nation, wear the colors, join the roar.
Upload a clear close-up of your face — only your face is kept, the scene is rebuilt.


What it does
Choose your country and step into the stands — each pick restyles the crowd, flags and colors around you.
When to use it
- Pick your national team and show support during a major tournament
- Generate the same photo as a supporter of several different countries
- Create a match-day profile picture in your country's colors
- Surprise friends with a packed-stadium supporter shot
- Make shareable fan content for game day on social media
- Turn a plain portrait into an energetic crowd photograph
When not to use it
- Group photos where every face must be preserved exactly
- Keeping the original pose, outfit or background of your photo
- Adding real readable team logos, badges or sponsor branding
- Full-body fashion shots that need a clean studio look
How it works
Upload a clear portrait and pick a national team before generating. Your identity, facial structure and overall vibe are preserved, while your pose, gaze and surroundings are rebuilt into a candid stadium-crowd moment. The fans, flags and clothing around you take on the colors of the country you chose, so a single photo can become a supporter of many different nations.
Updates
- v1May 30, 2026
Initial release
Specifications
- Approach
- Recreates your photo as a candid in-stadium supporter shot driven by the national team you pick.
- Customization
- Choose your national team before generating — each pick changes the colors, flags and crowd around you.
- Stylization
- Dense layered crowd, national flags, supporter colors, telephoto compression and floodlight ambiance.
- What stays
- Your identity, facial structure, proportions, age impression, hairstyle, skin tone and personal vibe.
- What changes
- Pose, gaze, head angle, mood, clothing, background and framing — rebuilt for the match.
- Ideal source
- A clear, well-lit portrait where your face is fully visible.
- Maximum input
- Up to 25 MP per image
- Supported formats
- JPEG, PNG, HEIC
- Output format
- PNG — a clean photoreal stadium-crowd frame with no overlays or text.
- Pricing
- 3 credits per image
CUSTOMIZABLE
Country
Frequently asked questions
Will I still look like myself?
Yes. Your identity, facial structure, proportions, age impression, hairstyle and skin tone are preserved with high accuracy. Only your pose, gaze, clothing and surroundings are rebuilt for the stadium scene.
Can I create different versions for different countries?
Yes — that's the point. You pick a national team before each generation, so the same portrait can become a supporter of many different countries, each with its own colors, flags and crowd.
How do the country colors work?
When you pick a national team, the fans, flags, scarves and clothing around you take on that nation's colors and visual identity, so the whole section reads as supporters of your chosen country.
Will there be any logos, badges or text in the image?
No. The model deliberately avoids readable text, official tournament logos, federation badges, club crests and sponsor branding. National identity is shown through colors and flag shapes instead.
What kind of photo works best?
A clear, well-lit portrait where your face is fully visible and not blocked. Front or three-quarter angles both work; your pose will be rebuilt anyway.
Why doesn't the result keep my original pose or background?
By design. Your face would look pasted-in if the original pose were kept, so the model rebuilds your body language, gaze and surroundings to match a real spectator caught during live play.
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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