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diwushennian4955
diwushennian4955

Posted on • Originally published at nexa-api.com

I Built an AI Image Generator for $0.003/Image — Here's the Full Tutorial (2026)

I was comparing AI APIs last week and stumbled across something that made me do a double-take: $0.003 per image for Flux Schnell. That's 5× cheaper than the official Black Forest Labs pricing.

The API is called NexaAPI, and it gives you a single OpenAI-compatible key to access 50+ models — Flux, Veo 3, Kling, Sora, Stable Diffusion, Whisper, TTS, and more.

Here's the complete tutorial.

Setup

pip install nexaapi
# or
npm install nexaapi
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Get your API key from RapidAPI (free tier available).

Your First Image in 3 Lines

from nexaapi import NexaAPI
client = NexaAPI(api_key="YOUR_API_KEY")
print(client.images.generate(model="flux-schnell", prompt="a red panda coding").image_url)
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import NexaAPI from 'nexaapi';
const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });
const { imageUrl } = await client.images.generate({ model: 'flux-schnell', prompt: 'a red panda coding' });
console.log(imageUrl);
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That's it. $0.003. One API key.

Full Image Generation

from nexaapi import NexaAPI
import os

client = NexaAPI(api_key=os.environ.get("NEXAAPI_KEY"))

# Flux Schnell — fastest & cheapest
response = client.images.generate(
    model="flux-schnell",
    prompt="A red panda sitting at a computer, coding, digital art style",
    negative_prompt="blurry, low quality",
    width=1024,
    height=1024
)
print(f"Image URL: {response.image_url}")
print(f"Cost: $0.003")
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Video Generation

# Kling v1 video
response = client.videos.generate(
    model="kling-v1",
    prompt="A drone flying over a mountain landscape at golden hour",
    duration=5
)
print(f"Video URL: {response.video_url}")

# Veo 3 — Google's model with audio
response_veo = client.videos.generate(
    model="veo-3",
    prompt="A chef preparing pasta, cinematic quality",
    duration=8
)
print(f"Veo 3: {response_veo.video_url}")
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TTS — 50+ Voices

response = client.audio.tts(
    text="Hello! This is NexaAPI text to speech.",
    voice="en-US-Neural2-F",
    format="mp3"
)
print(f"Audio URL: {response.audio_url}")
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Batch Generation

import asyncio
from nexaapi import AsyncNexaAPI

async def generate_batch(prompts):
    client = AsyncNexaAPI(api_key=os.environ.get("NEXAAPI_KEY"))
    tasks = [client.images.generate(model="flux-schnell", prompt=p) for p in prompts]
    results = await asyncio.gather(*tasks)
    return [r.image_url for r in results]

prompts = ["a cat", "a dog", "a bird", "a fish", "a dragon"]
urls = asyncio.run(generate_batch(prompts))
print(f"Generated {len(urls)} images for ${len(urls) * 0.003:.3f}")
# Output: Generated 5 images for $0.015
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Drop-in OpenAI Replacement

Already using OpenAI SDK? Change one line:

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_NEXAAPI_KEY",
    base_url="https://api.nexa-api.com/v1"  # ← only change
)
# Everything else stays the same!
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Pricing Comparison

Model NexaAPI Official Savings
Flux Schnell $0.003 $0.015 5× cheaper
Flux Pro 1.1 $0.02 $0.055 2.75× cheaper
Stable Diffusion 3.5 $0.005 $0.02 4× cheaper
Veo 3 $0.50/video $2.00/video 4× cheaper

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