HiAPI
flux-schnell 文生图模型详情页 Hero 图:左侧大片暖奶油光晕留白,右侧悬浮玻璃浮卡与虹彩光带由右向左流动,冰蓝、珊瑚粉与薰衣草紫渐变,发光立体字 flux-schnell 镌刻于玻璃胶片上。

Black Forest Labs

FLUX.1 Schnell

flux-schnell/text-to-image

Black Forest Labs' distilled text-to-image model, a 12-billion-parameter rectified flow transformer focused on low-latency fast image generation, suitable for batch creation of concept art and sketches

flux-schnell/text-to-image

Try flux-schnell/text-to-image

Input

Output

image
Fill in the parameters and run — results show up here.

Pricing

flux-schnell/text-to-image per image

Unit Price $0.005

Positioning Overview

FLUX.1-schnell is a text-to-image model released by Black Forest Labs. It uses a 12-billion-parameter rectified flow transformer architecture and has been optimized through distillation, so it can generate high-quality images at relatively low inference step counts, with a good balance between prompt adherence and detail rendering. The model can be accessed through the unified HiAPI.ai interface, making it suitable for developers and content creation scenarios that need to quickly produce concept images and visual assets.

Key Highlights

  • Distilled architecture for fast image generation with few steps — The official recommendation is 1 to 4 inference steps to complete denoising and generation, making it suitable for interactive scenarios with response speed requirements.
  • Balanced prompt adherence and detail rendering — Built on a 12-billion-parameter rectified flow transformer, it performs well in image detail and prompt alignment.
  • Flexible control over aspect ratio and output format — Supports five aspect ratios: 1:1, 4:3, 3:4, 16:9, and 9:16, with jpeg or png output, making it easy to adapt to different layout requirements.

Capability Description

Text-to-image generation: Enter a text prompt to generate the corresponding image, suitable for quickly turning creative descriptions into visual assets.

Adjustable inference steps and guidance scale: You can set 1 to 12 inference steps (officially recommended: 1 to 4 steps) and a guidance scale from 1 to 20, balancing speed and prompt adherence as needed.

Reproducible results with a fixed seed: By specifying a random seed, you can reproduce generation results under the same parameters, which helps with debugging and consistency management in batch tasks.

Content safety filter toggle: Safety checks are enabled by default and can be turned off as needed, making it convenient to adjust content policies flexibly in controlled environments.

Use Cases

  • Designers quickly generating concept sketches — Enter scene or style descriptions to quickly produce multiple concept images for early creative communication and direction screening.
  • Developers building text-to-image applications — Integrate the model into your own product workflow to generate illustrations or visual assets in real time based on user input.
  • Generating illustrations for content creation — Batch-generate illustrations for articles, social media, and other scenarios in specified aspect ratios and formats, ready for direct publication.

Limitations and Model Selection Advice

This model only supports text-to-image generation and does not cover other modalities such as video or text. As a distilled version, its results may be inferior to non-distilled models in scenarios with complex prompts or high-precision requirements; actual output is affected by prompt quality, sampling parameters, and the runtime environment. If you need multimodal capabilities or higher-precision image generation, we recommend evaluating other models.

Frequently asked questions

View all FAQs →
  • What is FLUX.1 [schnell] best for?

    A fast, low-cost 1-4 step model for drafts, batch generation, and rapid prompt exploration.

  • Does FLUX.1 [schnell] accept reference images?

    No. This route is text-to-image only.

  • Which output settings are supported?

    The page exposes 1-12 inference steps and 1:1, 16:9, 9:16, 4:3, 3:4; use the Playground contract for the final available set.

  • How is FLUX.1 [schnell] billed?

    Billing is per successful generated image. Resolution or quality differences, when present, are reflected by the live page price.

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