Login
Back to Blog
EnglishTutorial

AI Action Figure Generator with GPT-image-2 — Turn Anyone Into a Boxed Toy

Generate hyper-realistic boxed action figures using GPT-image-2 via Crazyrouter API. 10 profession templates included. Python, curl, and Node.js code.

C
Crazyrouter Team
May 1, 2026 / 571 views
Share:
AI Action Figure Generator with GPT-image-2 — Turn Anyone Into a Boxed Toy

AI Action Figure Generator with GPT-image-2 — Turn Anyone Into a Boxed Toy#

The AI Action Figure trend has taken over social media. The concept is simple: generate a hyper-realistic image of yourself (or anyone) as a boxed action figure — complete with blister pack, accessories, and package text.

GPT-image-2 is perfect for this because of its text rendering ability. The package labels, taglines, and barcode all come out looking real.

This is Part 3 of our GPT-image-2 series.

Result Preview#

AI Developer Action Figure

What makes it convincing:

  • Clear blister pack with realistic plastic reflections
  • Package text: "AI DEVELOPER — Build the future." rendered cleanly
  • Accessories: coffee mug, rubber duck, dual monitors, mechanical keyboard
  • Barcode and "Powered by GPT-image-2" fine print
  • Studio lighting with professional toy photography feel

Full Code#

Python#

python
from openai import OpenAI

client = OpenAI(
    api_key="your-crazyrouter-api-key",
    base_url="https://crazyrouter.com/v1"
)

character_name = "AI DEVELOPER"
tagline = "Build the future."
outfit = "black hoodie, glasses, holding a laptop with code on screen"
accessories = [
    "a coffee mug with 'CODE COFFEE DEPLOY' text",
    "a yellow rubber duck (debugging companion)",
    "two monitors showing code editor and neural network diagrams",
    "a mechanical keyboard with orange accents"
]
bottom_text = "CODE. TRAIN. AUTOMATE. REPEAT."

prompt = f"""
A hyper-realistic product photo of a boxed action figure toy.
The figure is a young Asian male software engineer: {outfit}.

The box is clear plastic blister pack with cardboard backing.
Top of box reads: "{character_name}" in bold letters.
Subtitle: "{tagline}"

Accessories inside the box: {", ".join(accessories)}.

Bottom of box: "{bottom_text}"
Small text: "Powered by GPT-image-2"
Include a realistic barcode.

Studio lighting, white background, professional toy photography style.
"""

response = client.images.generate(
    model="gpt-image-2",
    prompt=prompt,
    size="1024x1024",
    n=1
)

print(f"Generated: {response.data[0].url}")

curl#

bash
curl -X POST https://crazyrouter.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-crazyrouter-api-key" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "Hyper-realistic boxed action figure: AI DEVELOPER. Young engineer in black hoodie and glasses, holding laptop. Clear blister pack with cardboard backing. Accessories: coffee mug, rubber duck, dual monitors, mechanical keyboard. Bottom text: CODE. TRAIN. AUTOMATE. REPEAT. Barcode. Studio lighting, white background, toy photography.",
    "size": "1024x1024",
    "n": 1
  }'

Node.js#

javascript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "your-crazyrouter-api-key",
  baseURL: "https://crazyrouter.com/v1",
});

const response = await client.images.generate({
  model: "gpt-image-2",
  prompt: `Hyper-realistic boxed action figure: AI DEVELOPER.
Figure wearing black hoodie, glasses, holding laptop.
Accessories: coffee mug, rubber duck, dual monitors, mechanical keyboard.
Clear blister pack, cardboard backing, barcode.
Studio lighting, white background, toy photography.`,
  size: "1024x1024",
  n: 1,
});

console.log(response.data[0].url);

10 Profession Templates#

Ready-to-use templates — just swap the values:

#ProfessionTitleOutfitBottom Text
1Product ManagerPRODUCT MANAGERBusiness casual, whiteboard markerSHIP IT. ITERATE. REPEAT.
2UI DesignerUI/UX DESIGNERTurtleneck, Apple PencilPIXEL PERFECT. ALWAYS.
3Data ScientistDATA SCIENTISTCasual shirt, Jupyter notebookTRAIN. VALIDATE. DEPLOY.
4Startup FounderSTARTUP FOUNDERPatagonia vest + hoodieMOVE FAST. BREAK THINGS.
5Fitness CoachFITNESS COACHTank top, sneakersNO PAIN. NO GAIN.
6ChefMASTER CHEFWhite chef coat, chef hatTASTE. SEASON. PERFECT.
7PhotographerPHOTOGRAPHERCargo vest, camera strapCAPTURE THE MOMENT.
8Music ProducerMUSIC PRODUCEROversized hoodie, headphonesDROP THE BEAT.
9TeacherTEACHERCardigan, glasses, booksINSPIRE. EDUCATE. EMPOWER.
10Cat ParentCAT PARENTCat-hair-covered sweaterOWNED BY CATS SINCE 2020.

Batch Generation#

python
professions = [
    ("AI DEVELOPER", "black hoodie, glasses, laptop"),
    ("DESIGNER", "turtleneck, Apple Pencil, iPad"),
    ("DATA SCIENTIST", "casual shirt, Jupyter notebook"),
]

for title, outfit in professions:
    response = client.images.generate(
        model="gpt-image-2",
        prompt=f"Hyper-realistic boxed action figure: {title}. "
               f"Figure wearing {outfit}. Clear blister pack, "
               f"cardboard backing, studio lighting, toy photography.",
        size="1024x1024",
        n=1
    )
    print(f"{title}: {response.data[0].url}")

Prompt Tips#

  • Short text works best — keep package text under 10 words
  • ALL CAPS renders more reliably than lowercase
  • Add studio lighting, soft shadows for realism
  • Add slight plastic reflection on blister pack for that authentic toy feel

Cost#

ItemPrice (via Crazyrouter)
1 image (1024×1024)~$0.04–0.08
10-image batch~$0.50

🚀 Crazyrouter — One API key, 600+ models. GPT-image-2, GPT-5.5, Claude Opus 4.7, DeepSeek V4, and more.

👉 crazyrouter.com

Implementation Guides

Related Posts

Streaming API Implementation Guide: Real-Time AI Responses with SSETutorial

Streaming API Implementation Guide: Real-Time AI Responses with SSE

Learn how to implement streaming responses from AI APIs using Server-Sent Events (SSE). Complete guide with Python, Node.js, and cURL examples for OpenAI, Claude, and Gemini.

Feb 20
Codex CLI Installation Guide 2026 for WSL, Devcontainers, and ProxiesTutorial

Codex CLI Installation Guide 2026 for WSL, Devcontainers, and Proxies

A Codex CLI installation guide for real developer environments, including WSL, remote containers, proxy settings, troubleshooting, and multi-model fallback options.

Mar 21
How to Access 300+ AI Models with One API Key in 5 MinutesTutorial

How to Access 300+ AI Models with One API Key in 5 Minutes

Stop juggling multiple API keys. Learn how to access Claude, GPT, Gemini, DeepSeek and 300+ models through a single OpenAI-compatible endpoint with zero code...

Feb 15
Claude Code Installation and Usage Guide: AI Programming Assistant SetupTutorial

Claude Code Installation and Usage Guide: AI Programming Assistant Setup

Complete guide to installing and configuring Claude Code, the AI programming assistant. Step-by-step instructions for macOS, Linux, and Windows with Crazyrouter API integration.

Feb 23
text-embedding-3-small Dimensions Explained: How to Pick the Right Size for Quality, Speed, and CostTutorial

text-embedding-3-small Dimensions Explained: How to Pick the Right Size for Quality, Speed, and Cost

At 1536 dimensions, one text-embedding-3-small vector stored as float32 uses 6,144 bytes, so 10 million vectors need about 61 GB before index overhead. That number catches teams off guard when retr...

Mar 26
Text-Embedding-3-Small Complete Guide: OpenAI's Cost-Effective Embedding ModelTutorial

Text-Embedding-3-Small Complete Guide: OpenAI's Cost-Effective Embedding Model

A practical guide to OpenAI's text-embedding-3-small model. Covers API usage, dimension reduction, performance benchmarks, and how to build semantic search with code examples.

Feb 23