AI & Machine Learning API Key

fal.ai REST API

Fast, scalable AI image generation and processing APIs

fal.ai provides serverless inference APIs for state-of-the-art AI models including Stable Diffusion, FLUX, and custom fine-tuned models. Developers use fal.ai for real-time image generation, upscaling, background removal, and video processing with guaranteed low latency and automatic scaling. The platform handles model optimization, GPU allocation, and request queuing automatically.

Base URL https://fal.run

API Endpoints

Method	Endpoint	Description
POST	`/fal-ai/flux/schnell`	Generate images using FLUX Schnell model with fast inference
POST	`/fal-ai/flux-pro`	Generate high-quality images using FLUX Pro model
POST	`/fal-ai/stable-diffusion-v3-medium`	Generate images using Stable Diffusion 3 Medium model
POST	`/fal-ai/fast-sdxl`	Generate images using optimized SDXL with reduced inference time
POST	`/fal-ai/rembg`	Remove backgrounds from images automatically
POST	`/fal-ai/esrgan`	Upscale images using ESRGAN super-resolution model
POST	`/fal-ai/face-to-sticker`	Convert face photos into stylized stickers
POST	`/fal-ai/stable-video`	Generate videos from text prompts or images
POST	`/fal-ai/controlnet-canny`	Generate images with edge-guided ControlNet
POST	`/fal-ai/illusion-diffusion`	Create optical illusion images with hidden patterns
GET	`/queue/{request_id}/status`	Check the status of a queued request
GET	`/queue/{request_id}`	Retrieve results from a completed request
POST	`/subscribe`	Subscribe to real-time updates via webhooks for long-running requests
GET	`/models`	List all available AI models and their endpoints
POST	`/fal-ai/lora`	Generate images using custom LoRA fine-tuned models

Code Examples

curl -X POST https://fal.run/fal-ai/flux/schnell \
  -H "Authorization: Key YOUR_FAL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A serene mountain landscape at sunset with vibrant colors",
    "image_size": "landscape_16_9",
    "num_inference_steps": 4,
    "num_images": 1,
    "enable_safety_checker": true
  }'

const response = await fetch('https://fal.run/fal-ai/flux/schnell', {
  method: 'POST',
  headers: {
    'Authorization': 'Key YOUR_FAL_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    prompt: 'A serene mountain landscape at sunset with vibrant colors',
    image_size: 'landscape_16_9',
    num_inference_steps: 4,
    num_images: 1,
    enable_safety_checker: true
  })
});

const data = await response.json();
console.log('Generated image URL:', data.images[0].url);

import requests

url = 'https://fal.run/fal-ai/flux/schnell'
headers = {
    'Authorization': 'Key YOUR_FAL_KEY',
    'Content-Type': 'application/json'
}
payload = {
    'prompt': 'A serene mountain landscape at sunset with vibrant colors',
    'image_size': 'landscape_16_9',
    'num_inference_steps': 4,
    'num_images': 1,
    'enable_safety_checker': True
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()
print(f"Generated image URL: {data['images'][0]['url']}")

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generate_image Generate images from text prompts using FLUX or Stable Diffusion models with customizable parameters

remove_background Automatically remove backgrounds from images and return transparent PNG files

upscale_image Enhance image resolution using AI super-resolution models like ESRGAN

check_generation_status Monitor the status of queued image generation requests and retrieve results when ready

generate_video Create short videos from text prompts or animate static images using AI video models

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fal.ai REST API

API Endpoints

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Code Examples

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