AIREITERAnime Yearbook Graduation AI Portrait Generator
Create an anime graduation portrait from one photo with recognizable facial details, coordinated school colors, a graduation cap, and a 2026 tassel.
What Is Anime Yearbook Graduation AI Portrait Generator?
Finished result
Clean 2D cel shading, a graduation cap coordinated with the outfit, a 2026 tassel, and a cheerful school setting create the yearbook look.
Best for
graduates, students, anime portrait fans, yearbook editors, and celebration accounts
Generation format
Nano Banana 2 (nano_banana_v2) converts one reference photo into a finished AI image using 1K, 2:3, 1 reference image.
Input and Creative Direction
Recommended input
Upload a front-facing head-and-shoulders portrait with clear facial features, visible hair, and evenly lit clothing colors.
Defining visual direction
Clean 2D cel shading, a graduation cap coordinated with the outfit, a 2026 tassel, and a cheerful school setting create the yearbook look.
Creative controls
Change the graduation year, school colors, cap details, background, expression, or illustration palette while preserving the subject's identity.
Model, Prompt and Settings
Model
Nano Banana 2 (nano_banana_v2)
Output settings
1K, 2:3, 1 reference image
Default English prompt
Transform the person in the reference photo into a polished 2D cel-shaded anime yearbook graduate. Preserve the face, hairstyle, expression, and outfit colors. Add a graduation cap coordinated with the outfit and a clearly readable 2026 tassel. Use a cheerful school-yearbook background, clean line work, balanced shading, and a friendly portrait composition.
How to Create This Result
Use one clear source, keep the preset settings for the first run, and compare the generated result with the demonstrated composition.
Prepare the source
Upload a front-facing head-and-shoulders portrait with clear facial features, visible hair, and evenly lit clothing colors.
Generate with the preset
Run Nano Banana 2 with 1K, 2:3, 1 reference image and the included English prompt.
Review and refine
Inspect the first result before changing the prompt. Inspect facial likeness, cap placement, tassel text, hair edges, eye symmetry, clothing colors, and stray background characters.
Quality Checks and Best Use Cases
Check the model-sensitive details first, then adapt the finished asset for the intended channel or campaign.
Quality checklist
Inspect facial likeness, cap placement, tassel text, hair edges, eye symmetry, clothing colors, and stray background characters.
Graduation Announcements
Use the finished asset as the primary visual for graduation announcements.
Anime Profile Portraits
Adapt the wardrobe, setting, or framing for anime profile portraits while keeping the defining effect recognizable.
Digital Yearbook Artwork
Review identity, composition, and small output details before publishing the result in digital yearbook artwork.
Frequently Asked Questions
Practical answers about input, customization, output limits, and API reuse.
/ 01What source material should I use?
Upload a front-facing head-and-shoulders portrait with clear facial features, visible hair, and evenly lit clothing colors.
/ 02Which details can I customize?
Change the graduation year, school colors, cap details, background, expression, or illustration palette while preserving the subject's identity.
/ 03What are the main output limitations?
Identity, anatomy, typography, reflections, and multi-panel consistency can vary between generations. Inspect facial likeness, cap placement, tassel text, hair edges, eye symmetry, clothing colors, and stray background characters.
/ 04Which model and settings does the template use?
Nano Banana 2 (nano_banana_v2) with 1K, 2:3, 1 reference image.
/ 05Can I reuse the preset through the API?
Yes. Send the included prompt with the supported nano_banana_v2 fields shown above, then vary only the creative details you need.
