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const main = async () => {
const response = await fetch('https://api.ai.cc/v1/images/generations', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'openai/gpt-image-1-5',
prompt: 'A jellyfish in the ocean',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main();
import requests
def main():
response = requests.post(
"https://api.ai.cc/v1/images/generations",
headers={
"Authorization": "Bearer ",
"Content-Type": "application/json",
},
json={
"model": "openai/gpt-image-1-5",
"prompt": "A jellyfish in the ocean",
},
)
response.raise_for_status()
data = response.json()
print("Generation:", data)
if __name__ == "__main__":
main()
GPT Image 1.5 API
Fast, controllable image generation that transforms text prompts into production-ready assets with surgical precision.
As detailed in the "GPT Image 1.5 API: Fast, controllable image generation that actually follows the brief", GPT Image 1.5 stands as the ultimate creative engine for developers and enterprises. Unlike consumer-facing generators, this model is engineered specifically for repeatable, editable, and predictable workflows.
The API-First Vision
OpenAI positions GPT Image 1.5 around three core pillars: stronger instruction-following, superior edit preservation (maintaining lighting and composition), and unprecedented speed for rapid iteration loops.
Why Choose GPT Image 1.5?
Absolute Prompt Adherence
Stop "prompt wrestling." This model is explicitly optimized to follow layouts, constraints, and complex text instructions with high fidelity across multiple generations.
4x Faster Generation
High-throughput architecture allows for "generate-adjust-regenerate" cycles at scale, reducing latency and improving the user experience for integrated apps.
Identity Stability
Editing features preserve subject identity, lighting, and global composition, ensuring your brand assets don't suffer from "visual drift" during revisions.
⚙️ Technical Controls & API Parameters
| Feature | Supported Parameters |
|---|---|
| Dimensions | 1024x1024 (1:1), 1536x1024 (3:2), 1024x1536 (2:3), Auto |
| Quality Levels | High, Medium, Low, Auto |
| File Formats | PNG, JPEG, WebP (with 0-100 compression control) |
| Transparency | Transparent Background, Opaque, Auto |
| Latency Opt. | Streaming + Partial Images (0–3) |
Token-Based Predictable Pricing
GPT Image 1.5 introduces a streamlined cost model calculated per 1M tokens for both text and image components.
Industry Comparison: GPT Image 1.5 vs Rivals
GPT Image 1.5 vs FLUX.2
While FLUX.2 (Black Forest Labs) is celebrated for its high-end photographic realism and open-weight flexibility, it often requires significant GPU infrastructure and tuning knowledge. GPT Image 1.5 wins on enterprise accessibility—providing readable text, UI-style graphics, and instant integration into existing Microsoft/OpenAI pipelines without the management overhead.
The "Production" Advantage
"GPT Image 1.5 focuses on fast, prompt-driven generation with strong support for readable text... making it easier to drop into existing apps."
Predictability vs. Inspiration
Google's Nano Banana Pro excels in conversational flair, but if your priority is brand safety and dependable preservation of likeness at scale, GPT Image 1.5 offers a clearer technical path.
GPT Image 1.5 vs Google Nano Banana Pro
In a practical comparison, GPT Image 1.5 is typically the better choice for a production-grade API. It allows creatives to iterate without "drifting" away from branded logos or facial features, whereas Google's Nano Banana Pro is often marketed toward advanced text rendering and conversational editing within the Gemini ecosystem.
Real-World Performance & Impact
Teams on the Artificial Analysis Image Leaderboard report that GPT Image 1.5 feels purpose-built for commercial design workflows.
Art Direction & Pre-Production
- Rapid Storyboarding: Maintain character consistency and lighting across video frames using API snapshot pinning.
- Concept Iteration: Fast-track "rough drafts" by generating 20 high-fidelity variations of an asset in seconds.
Semantic Photography Editing
- Natural Language Replacement: Replace objects (e.g., "velvet armchair") with automatic lighting and perspective matching.
- Aspect Ratio Expansion: Outpaint horizontal hero images into vertical 9:16 assets for social media without losing quality.
Dynamic Ad Creative
- Hyper-Personalization: Show a product in a "rainy London street" for UK users and a "sunny beach" for US users programmatically.
- Scientific A/B Testing: Tweak variables (lighting warmth, object placement) to test conversion rates without burdening human designers.
Sample Prompt Engineering
// E-commerce Product Card
"A studio photo of the AI/ML API branded shampoo, realistic product card image for ecommerce website. Make it in flower design and very stylish background."
// Minimalist SaaS Ad
"Create a minimalist, flat graphic social ad... lots of negative space, crisp vector shapes... Headline: ‘Need the right model? We can route it for you.’"
// High-End Fashion Editorial
"Candid Y2K underground street portrait... 35mm film look, point-and-shoot energy... heavy film grain, dusty sensor specks, crunchy JPEG compression."
🛡️ Guardrails & Compliance
The GPT Image 1.5 API includes robust content moderation controls. While these safety layers are more prominent than in some open-weight alternatives, they ensure that generated content remains professional and policy-compliant—a non-negotiable requirement for enterprise deployments.
Ready to integrate high-fidelity image generation into your application?
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