nexaapi 1.0.0

Official Python SDK for NexaAPI — unified AI inference API for 50+ models including Flux, Stable Diffusion, Veo, Sora, Whisper, and more.

NexaAI Python SDK

The official Python SDK for NexaAPI — the unified AI inference API. Access 77+ AI models through a single API key: image generation (Flux, Stable Diffusion, SDXL, Imagen 4), video generation (Kling, Veo 3.1, Sora 2), text-to-speech, speech-to-text, music generation, and image tools.

5× cheaper than official APIs. No subscriptions. Credits never expire.

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✨ Features

• 🎨 Image Generation — 35+ models: Flux 2 Pro, Flux Schnell, SD 3.5, SDXL, Ideogram v2, Recraft v3, GPT-Image 1.5, Gemini 3 Pro Image, Imagen 4, and more
• 🎬 Video Generation — 17 models: Kling Video v3 Pro, Veo 3.1, Sora 2, Minimax, Pika 2.2, Hunyuan, and more
• 🔊 Text-to-Speech — OpenAI TTS HD, ElevenLabs Multilingual v3, Kokoro TTS, Gemini TTS
• 📝 Speech-to-Text — Whisper Large v3 Turbo, Deepgram Nova 3, AssemblyAI Universal 2
• 🎵 Music Generation — Suno v4.5, Udio v2, MusicGen Large, AudioCraft Stereo, Lyria 2
• 🛠️ Image Tools — Background removal, 4x upscaling, face enhancement, style transfer, inpainting, outpainting, object removal, colorization
• ⚡ Sync + Async — Both NexaAI and AsyncNexaAI clients
• 🔄 Auto-polling — Automatic job completion polling with configurable timeouts
• 🔁 Retry logic — Exponential backoff with jitter for transient errors
• 📦 Typed — Full Pydantic models and type hints

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📦 Installation

pip install nexa-ai

Requirements: Python 3.8+

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🚀 Quick Start

Get your free API key at nexa-api.com ($5 free credits, no credit card required).

Image Generation

from nexa_ai import NexaAI

client = NexaAI(api_key="your-api-key")

# Generate with Flux 2 Pro
result = client.images.generate(
    model="flux-2-pro",
    prompt="a majestic cat sitting on the moon, photorealistic",
    width=1024,
    height=1024,
)
print(result.url)   # https://cdn.nexa-api.com/...
print(result.cost)  # 0.06

Video Generation

result = client.videos.generate(
    model="kling-video-v3-pro",
    prompt="a golden retriever running through wildflowers, cinematic slow motion",
    duration=5.0,
    aspect_ratio="16:9",
)
print(result.url)

Text-to-Speech

result = client.audio.speech(
    model="openai-tts-hd",
    text="Welcome to NexaAPI!",
    voice="alloy",
)
print(result.url)  # Direct link to MP3

Speech-to-Text

result = client.audio.transcribe(
    model="whisper-large-v3-turbo",
    audio_url="https://example.com/audio.mp3",
)
print(result.text)      # "Hello world..."
print(result.language)  # "en"

Music Generation

result = client.audio.generate_music(
    model="suno-v4.5",
    prompt="upbeat electronic dance music, catchy synth melody, 120 BPM",
    duration=30.0,
)
print(result.url)

Image Tools

# Upscale 4x
upscaled = client.images.upscale(image_url="https://example.com/photo.jpg")

# Remove background
no_bg = client.images.remove_background(image_url="https://example.com/photo.jpg")

# Face enhancement
enhanced = client.images.enhance_face(image_url="https://example.com/portrait.jpg")

# Style transfer
styled = client.images.style_transfer(
    image_url="https://example.com/photo.jpg",
    style_url="https://example.com/style.jpg",
)

# Inpainting
inpainted = client.images.inpaint(
    image_url="https://example.com/photo.jpg",
    mask_url="https://example.com/mask.png",
    prompt="a beautiful garden",
)

# Colorize B&W photos
colorized = client.images.colorize(image_url="https://example.com/bw-photo.jpg")

List Available Models

# List all models
response = client.models.list()
for model in response.data:
    print(f"{model.name} ({model.category}) — ${model.pricing_per_unit}/unit")

# Filter by category
image_models = client.models.list(category="image")
video_models = client.models.list(category="video")
audio_models = client.models.list(category="audio")

# Fetch all models at once
all_models = client.models.list_all()
print(f"Total: {len(all_models)} models")

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⚡ Async Usage

import asyncio
from nexa_ai import AsyncNexaAI

async def main():
    async with AsyncNexaAI(api_key="your-api-key") as client:
        # Generate an image
        result = await client.images.generate(
            model="flux-schnell",
            prompt="a futuristic city at night",
        )
        print(result.url)

        # Concurrent generation (3 images at once!)
        tasks = [
            client.images.generate(model="flux-schnell", prompt=p)
            for p in ["red car", "blue ocean", "green forest"]
        ]
        results = await asyncio.gather(*tasks)
        for r in results:
            print(r.url)

asyncio.run(main())

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🔧 Configuration

Environment Variable

export NEXA_API_KEY="your-api-key"

from nexa_ai import NexaAI
client = NexaAI()  # Automatically reads NEXA_API_KEY

Custom Settings

client = NexaAI(
    api_key="your-api-key",
    base_url="https://nexa-api.com",    # Custom base URL
    timeout=120.0,                       # Request timeout (seconds)
    max_retries=3,                       # Retry count for transient errors
    poll_interval=2.0,                   # Job polling interval (seconds)
    poll_timeout=600.0,                  # Max wait for job completion (seconds)
)

RapidAPI Access

client = NexaAI(
    rapidapi_key="your-rapidapi-key",
    rapidapi_host="nexa-api.p.rapidapi.com",
)

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📖 API Reference

NexaAI / AsyncNexaAI

Parameter	Type	Default	Description
api_key	str	NEXA_API_KEY env	Your NexaAPI key
base_url	str	https://nexa-api.com	API base URL
timeout	float	120.0	HTTP timeout (seconds)
max_retries	int	3	Max retries for transient errors
poll_interval	float	2.0	Job polling interval (seconds)
poll_timeout	float	600.0	Max job wait time (seconds)

client.images.generate()

Parameter	Type	Required	Description
model	str	✅	Model ID (e.g., "flux-2-pro", "flux-schnell")
prompt	str	✅	Text description of the image
negative_prompt	str		Things to exclude
width	int		Image width in pixels
height	int		Image height in pixels
num_images	int		Number of images (default 1)
guidance_scale	float		CFG scale
num_inference_steps	int		Denoising steps
seed	int		Random seed
style	str		Style preset
lora_url	str		LoRA weights URL
lora_scale	float		LoRA influence (0–1)
image_url	str		Input image for img2img
strength	float		Denoising strength (0–1)
wait	bool		Auto-poll for result (default True)

Returns: ImageResult with .url, .job_id, .model, .width, .height, .seed, .cost

client.videos.generate()

Parameter	Type	Required	Description
model	str	✅	Model ID (e.g., "kling-video-v3-pro", "veo-3.1")
prompt	str	✅	Text description of the video
image_url	str		Input image for image-to-video
duration	float		Duration in seconds
fps	int		Frames per second
aspect_ratio	str		e.g., "16:9", "9:16", "1:1"
wait	bool		Auto-poll (default True)

Returns: VideoResult with .url, .job_id, .model, .duration, .cost

client.audio.speech()

Parameter	Type	Required	Description
model	str	✅	TTS model (e.g., "openai-tts-hd")
text	str	✅	Text to speak
voice	str		Voice ID
language	str		Language code
speed	float		Speed multiplier
format	str		Output format ("mp3", "wav")

Returns: AudioResult with .url, .duration, .cost

client.audio.transcribe()

Parameter	Type	Required	Description
model	str	✅	STT model (e.g., "whisper-large-v3-turbo")
audio_url	str	✅	URL of audio to transcribe
language	str		Language hint

Returns: TranscriptionResult with .text, .language, .segments, .cost

client.audio.generate_music()

Parameter	Type	Required	Description
model	str	✅	Music model (e.g., "suno-v4.5")
prompt	str	✅	Music description
duration	float		Duration in seconds
genre	str		Genre hint
lyrics	str		Optional lyrics
instrumental	bool		Instrumental only

Returns: AudioResult with .url, .duration, .cost

Image Tools

Method	Description	Key Parameters
client.images.upscale()	Upscale image 4x	image_url, model, scale
client.images.remove_background()	Remove background	image_url
client.images.enhance_face()	Enhance faces	image_url
client.images.colorize()	Colorize B&W	image_url
client.images.inpaint()	Fill masked region	image_url, mask_url, prompt
client.images.outpaint()	Extend image	image_url, prompt
client.images.remove_object()	Remove object	image_url, mask_url
client.images.style_transfer()	Apply style	image_url, style_url

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🎯 Supported Models

Image Generation (35+ models)

Model	ID	Price/image
Flux 2 Pro	flux-2-pro	$0.060
Flux 2 Max	flux-2-max	$0.100
Flux 2 Flash	flux-2-flash	$0.010
Flux 2 Turbo	flux-2-turbo	$0.020
Flux Pro	flux-pro	$0.050
Flux Pro Ultra	flux-pro-ultra	$0.080
Flux Schnell	flux-schnell	$0.003
Flux Dev	flux-dev	$0.025
Flux Dev LoRA	flux-dev-lora	$0.030
Flux Pro LoRA	flux-pro-lora	$0.070
Flux Kontext Pro	flux-kontext-pro	$0.040
Flux Kontext Max	flux-kontext-max	$0.080
Stable Diffusion 3.5 Large	sd-3.5-large	$0.065
Stable Diffusion 3.5 Medium	sd-3.5-medium	$0.035
Stable Diffusion 3.5 Turbo	sd-3.5-turbo	$0.015
SDXL	sdxl	$0.020
SDXL Lightning	sdxl-lightning	$0.008
Ideogram v2	ideogram-v2	$0.080
Ideogram v2 Turbo	ideogram-v2-turbo	$0.050
Recraft v3	recraft-v3	$0.040
GPT-Image 1.5	gpt-image-1.5	$0.040
Gemini 2.5 Flash Image	gemini-2.5-flash-image	$0.039
Gemini 3 Pro Image	gemini-3-pro-image	$0.050
Gemini 3.1 Flash Image	gemini-3.1-flash-image	$0.080
Imagen 4	imagen-4	$0.040
Kling Image V3	kling-image-v3	$0.050
Seedream 4.5	seedream-4.5	$0.040
Seedream V5 Lite	seedream-v5-lite	$0.030
Aurora	aurora	$0.060
Playground v3	playground-v3	$0.030
Aura Flow	aura-flow	$0.020
Kolors	kolors	$0.025
Nano Banana	nano-banana	$0.039
Nano Banana 2	nano-banana-2	$0.080
Nano Banana Pro	nano-banana-pro	$0.150

Video Generation (17 models)

Model	ID	Price/video
Kling Video v3 Pro	kling-video-v3-pro	$0.500
Kling Video v3 Standard	kling-video-v3-standard	$0.250
Kling Video v2.6 Pro	kling-video-v2.6-pro	$0.070
Kling Video v2.5 Turbo	kling-video-v2.5-turbo	$0.070
Kling O3 Video	kling-o3-video	$0.100
Kling AI Avatar	kling-ai-avatar	$0.150
Veo 3.1	veo-3.1	$0.800
Veo 3.1 Fast	veo-3.1-fast	$0.400
Sora 2	sora-2	$1.000
Minimax Video 01	minimax-video-01	$0.350
Seedance v1.5	seedance-v1.5	$0.300
Pika 2.2	pika-2.2	$0.300
Hunyuan Video	hunyuan-video	$0.200
Wan 2.2	wan-2.2	$0.250
CogVideoX 5B	cogvideox-5b	$0.150
LTX Video	ltx-video	$0.120

Audio Models (16 models)

Model	ID	Price/unit
OpenAI TTS HD	openai-tts-hd	$0.0003/char
OpenAI TTS Standard	openai-tts-standard	$0.00015/char
ElevenLabs Multilingual v3	elevenlabs-multilingual-v3	$0.0003/char
ElevenLabs Turbo v3	elevenlabs-turbo-v3	$0.00015/char
ElevenLabs Sound Effects	elevenlabs-sound-effects	$0.020/gen
ElevenLabs Music	elevenlabs-music	—
Kokoro TTS	kokoro-tts	$0.0001/char
Gemini TTS	gemini-tts	$0.010/gen
Whisper Large v3 Turbo	whisper-large-v3-turbo	$0.0001/sec
Deepgram Nova 3	deepgram-nova-3	$0.00008/sec
AssemblyAI Universal 2	assemblyai-universal-2	$0.00012/sec
Suno v4.5	suno-v4.5	$0.100/gen
Udio v2	udio-v2	$0.080/gen
MusicGen Large	musicgen-large	$0.050/gen
AudioCraft Stereo	audiocraft-stereo	$0.040/gen
Lyria 2	lyria-2	$0.050/gen

Image Tools (9 tools)

Tool	ID	Price/use
Background Removal	background-removal	$0.010
Image Upscaler 4x	image-upscaler-4x	$0.020
SeedVR2 Upscaler	seedvr2-upscaler	$0.030
Face Enhancement	face-enhancement	$0.015
Style Transfer	style-transfer	$0.040
Image Inpainting	image-inpainting	$0.030
Image Outpainting	image-outpainting	$0.040
Object Removal	object-removal	$0.025
Image Colorization	image-colorization	$0.020

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💰 Pricing

NexaAPI is 5× cheaper than official APIs. No subscriptions — buy credits once, use them forever.

Plan	Price	Credits	~Flux Pro Images	~Veo 3.1 Video
Starter	$20	$20	~5,000 images	~25 seconds
Pro	$100	$100	~25,000 images	~125 seconds
Enterprise	Custom	Custom	Volume discounts 20%+	Dedicated infra

All plans include access to all 77+ models. Credits never expire.

👉 Get started at nexa-api.com — $5 free credits, no credit card required.

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🔒 Error Handling

from nexa_ai import NexaAI
from nexa_ai.exceptions import (
    AuthenticationError,
    RateLimitError,
    InsufficientCreditsError,
    ValidationError,
    ServerError,
    TimeoutError,
    JobFailedError,
)

client = NexaAI(api_key="your-key")

try:
    result = client.images.generate(model="flux-2-pro", prompt="hello")
except AuthenticationError:
    print("Invalid API key!")
except InsufficientCreditsError:
    print("Top up at https://nexa-api.com")
except RateLimitError as e:
    print(f"Rate limited. Retry after {e.retry_after}s")
except ValidationError as e:
    print(f"Invalid params: {e.message}")
except TimeoutError:
    print("Job took too long")
except JobFailedError as e:
    print(f"Job {e.job_id} failed: {e.error_detail}")
except ServerError:
    print("Server error, try again later")

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🔗 Links

• Website: nexa-api.com
• API Docs: nexa-api.com/docs
• Pricing: nexa-api.com/pricing
• GitHub: github.com/nexa-api/nexa-ai-python
• PyPI: pypi.org/project/nexa-ai
• RapidAPI: rapidapi.com/nexa-api
• Status: status.nexa-api.com

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📄 License

MIT License. See LICENSE for details.

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🤝 Contributing

Contributions welcome! Please open an issue or submit a pull request on GitHub.

# Development setup
git clone https://github.com/nexa-api/nexa-ai-python.git
cd nexa-ai-python
pip install -e ".[dev]"
pytest

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Built with ❤️ by NexaAPI
_{AI Image Generation API • Flux API • Stable Diffusion API • Video Generation API • Text-to-Speech API • AI Inference Platform}