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Endpoint: POST https://fal.run/fal-ai/flux/schnell Endpoint ID: fal-ai/flux/schnell

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/flux/schnell",
    arguments={
        "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Examples

portrait | wide angle shot of eyes off to one side of frame, lucid dream-like woman, looking off in distance ::8 style | daydreampunk with glowing skin and eyes, styled in headdress, beautiful, she is dripping in neon lights, very colorful blue, green, purple, bioluminescent, glowing ::8 background …
Generated image: portrait | wide angle shot of eyes off to one side of frame, lucid dream-like wo
Anime style portrait of a female samurai at a beautiful lake with cherry trees, mountain fuji background, spring, sunset
Generated image: Anime style portrait of a female samurai at a beautiful lake with cherry trees,
A vibrant custom illustration, retro-style, featuring a vintage ice cream cart, by the beach, with palm trees. The text ‘Gelato’ is displayed in a retro, distressed style, with each letter in a different color, exuding a sense of nostalgia. The design is perfect for a t-shirt print, with an isolated…
Generated image: A vibrant custom illustration, retro-style, featuring a vintage ice cream cart,

Input Schema

num_inference_steps
integer
default:"4"
The number of inference steps to perform. Default value: 4Range: 1 to 12
prompt
string
required
The prompt to generate an image from.
image_size
ImageSize | Enum
default:"landscape_4_3"
The size of the generated image. Default value: landscape_4_3Possible values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
seed
integer
The same seed and the same prompt given to the same version of the model will output the same image every time.
guidance_scale
float
default:"3.5"
The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 3.5Range: 1 to 20
sync_mode
boolean
default:"false"
If True, the media will be returned as a data URI and the output data won’t be available in the request history.
num_images
integer
default:"1"
The number of images to generate. Default value: 1Range: 1 to 4
enable_safety_checker
boolean
default:"true"
If set to true, the safety checker will be enabled. Default value: true
output_format
OutputFormatEnum
default:"jpeg"
The format of the generated image. Default value: "jpeg"Possible values: jpeg, png
acceleration
AccelerationEnum
default:"none"
The speed of the generation. The higher the speed, the faster the generation. Default value: "none"Possible values: none, regular, high

Output Schema

images
list<Image>
required
The generated image files info.
timings
Timings
required
seed
integer
required
Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.
has_nsfw_concepts
list<boolean>
required
Whether the generated images contain NSFW concepts.
prompt
string
required
The prompt used for generating the image.

Input Example

{
  "num_inference_steps": 4,
  "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
  "image_size": "landscape_4_3",
  "guidance_scale": 3.5,
  "sync_mode": false,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "none"
}

Output Example

{
  "images": [
    {
      "url": "",
      "content_type": "image/jpeg"
    }
  ],
  "prompt": ""
}

FLUX.1 [schnell] - Ultra-Fast Text-to-Image Generation

Transform your ideas into stunning visuals in seconds with FLUX.1 [schnell], a powerful 12 billion parameter flow transformer designed for production-ready image generation. Whether you’re creating content for commercial projects or personal artwork, FLUX.1 [schnell] delivers exceptional quality in just 1-4 inference steps with sub-second results.

Key Capabilities

Create high-fidelity images with remarkable speed and precision. FLUX.1 [schnell] excels at:
  • Professional-grade image generation with precise detail control
  • Lightning-fast inference (1-4 steps with sub-second results)
  • Commercial-ready outputs with full usage rights
  • Consistent style maintenance across multiple generations
  • Advanced prompt interpretation for accurate results
  • Text-to-image and image-to-image generation capabilities
Content Creation Generate marketing visuals, social media assets, and blog illustrations at scale. Perfect for agencies and content teams who need consistent, high-quality imagery. Product Development
Create concept art, UI mockups, and design variations for rapid prototyping. Ideal for designers exploring visual directions.
E-commerce Generate product lifestyle images, seasonal campaigns, and A/B testing visuals to boost conversion rates. Entertainment Produce game assets, storyboard illustrations, and creative concept art for media projects.

Getting Started

Getting up and running with FLUX.1 [schnell] is straightforward. Here’s how to begin:
  1. Install your preferred SDK:
For JavaScript/TypeScript:
npm install --save @fal-ai/client
For Python:
pip install fal-client
  1. Configure your credentials:
import { fal } from '@fal-ai/client'

fal.config({
  credentials: 'YOUR_FAL_KEY'
})
  1. Generate your first image:
const result = await fal.subscribe('fal-ai/flux/schnell', {
  input: {
    prompt: "A serene mountain landscape at sunset, hyperrealistic style",
    num_inference_steps: 4
  }
})

Technical Specifications

FLUX.1 [schnell] represents the latest in flow-based architecture:

Architecture

  • 12B parameter flow transformer optimized for speed
  • Flow-based distillation for ultra-fast inference
  • 1-4 inference steps (default: 4 steps)
  • Sub-second response times for fastest generation
  • Commercial usage rights included

API Parameters

  • prompt: Text description of desired image
  • image_size: Various preset sizes or custom dimensions
  • num_inference_steps: Generation steps (default: 4)
  • num_images: Number of images to generate (default: 1)
  • seed: For reproducible results
  • enable_safety_checker: Content safety filtering (default: true)
  • output_format: Image format (default: PNG)

Performance

  • Sub-second response times for rapid generation
  • Fastest AI image generation among FLUX models
  • Concurrent request handling capability
  • Enterprise-grade reliability and uptime

Best Practices

To achieve optimal results with FLUX.1 [schnell]:
  • Write detailed, specific prompts that describe both content and style
  • Use 4 steps (default) for balanced speed/quality, adjust as needed
  • Leverage the fastest generation for iterative workflows
  • Monitor API usage through the dashboard for optimization
  • Take advantage of sub-second generation for real-time applications

Integration Guide

FLUX.1 [schnell] integrates seamlessly into existing workflows:
  1. Set up authentication using environment variables
  2. Initialize the client in your application
  3. Implement error handling and retries
  4. Add response validation
  5. Configure webhook endpoints for async processing

Advanced Features

Take advantage of FLUX.1 [schnell]‘s advanced capabilities:

Speed Optimization

FLUX.1 [schnell] is specifically optimized for ultra-fast generation, making it ideal for applications requiring rapid iteration and real-time image creation.

Image Size Control

Generate images at various dimensions with preset sizes or custom width/height configurations to match your specific requirements.

Batch Processing

Create multiple variations efficiently with built-in batching support for rapid prototyping and content generation.

Turbo Mode

The “schnell” (German for “fast”) variant is the turbo mode of the FLUX.1 family, prioritizing speed while maintaining high image quality.

Pricing and Usage

Your request will cost $0.003 per megapixel. Images are billed by rounding up to the nearest megapixel. Our transparent, usage-based pricing scales with your needs:
  • Most cost-effective: $0.003 per megapixel
  • Commercial usage rights included
  • No subscription fees or minimum commitments
  • Fastest generation with competitive pricing
View detailed pricing or contact sales for enterprise solutions.

Support and Resources

We’re here to help you succeed with FLUX.1 [schnell]:
  • Documentation: Comprehensive API references and guides
  • Community: Active Discord community for peer support
  • Technical Support: Direct assistance through support tickets
  • Examples: Growing library of implementation examples
  • Updates: Regular model improvements and feature additions
Get started today and experience the fastest AI image generation available. Create your API key now and begin transforming your ideas into stunning visuals with FLUX.1 [schnell]. Get Started Now | View Documentation | Try FLUX Schnell

Limitations

  • num_inference_steps range: 1 to 12
  • image_size restricted to: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
  • guidance_scale range: 1 to 20
  • num_images range: 1 to 4
  • output_format restricted to: jpeg, png
  • acceleration restricted to: none, regular, high
  • Content moderation via safety checker