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Image Generation - FLUX Schnell

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Fast, High-Quality Text-to-Image Generation

First-generation FLUX model producing high-quality images from text descriptions in just 1 to 4 steps

What it does

FLUX.1 [schnell] is a high-speed text-to-image generation model developed by Black Forest Labs. It is the fastest and most accessible model in the original FLUX.1 family, built for developers, creators, and businesses who need rapid, high-quality image output without the cost or complexity of larger, slower models. By generating images in as few as 1 to 4 processing steps, it dramatically cuts the time and compute required compared to conventional image generation models while still delivering output quality that competes with leading closed-source commercial alternatives.

Problem it solves

  • Slow image generation – Most high-quality image models require dozens of processing steps and significant wait time. FLUX.1 [schnell] generates compelling images in just 1 to 4 steps, making near-instant generation practical
  • High compute costs – Fewer processing steps means lower GPU compute consumption per image, making it significantly more cost-efficient to run at scale
  • Closed-source quality gap – Delivers output quality competitive with leading paid, proprietary image generation services, in a fully open model
  • Accessibility – Available via API from multiple providers (BFL, Replicate, Fal.ai) and supported in both ComfyUI and Hugging Face Diffusers, making integration straightforward for a wide range of developers and workflows

Input/Output

  • Input:
    • Text to Image: Describe the image you want in plain language and FLUX.1 [schnell] generates it
  • Options:
    • diffusion steps (1 ~ 8)
      • More steps = better quality but slower generation (default: 4)
    • random seed
    • output image height & width (512 x 512, 768 x 768, 1024 x 1024)
  • Output: A fully generated high-quality image
    • Competitive output quality with leading closed-source alternatives
    • Supports short to detailed prompts in English
image

Accuracy & Speed

Speed & Scale

Inference steps required
1 to 4 steps
Output quality
Competitive with leading closed-source commercial models
Model size
12 billion parameters

Technical Details

Architecture
12B parameter rectified flow transformer
Training approach
Latent adversarial diffusion distillation
Supported frameworks
Hugging Face Diffusers, ComfyUI
API availability
BFL (bfl.ml), Replicate, Fal.ai, Mystic.ai

Compliance & Provenance

Provider
Open-source (BFL)
Provider type
Specialized
License
Apache 2.0
EU AI Act risk class
Limited Risk
Art. 50 transparency
Required — outputs are marked. See AI Policy §2.
Region availability
Available globally
Training data summary
Provider model card / training data

For more on how we classify models and mark outputs, see our AI Policy.

Model Source