FLUX schnell

FLUX.1 [schnell] is a open source model with 12 billion parameter rectified flow transformer capable of generating images from text descriptions

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How to Use FLUX schnell

Step 1: Enter Prompt

Please use natural language to describe your imaginary picture. The more accurate the words, the better the picture quality.

Step 2: Select the Flux schnell Model

Click the 'Model', Choose Flux Schnell Model, it is free and fast, it is about 3-5 times faster than dev.

Step 3: Generate

We have the simplest process, click generate, wait about 10-20 seconds, and you will get super high quality pictures.

Features of FLUX schnell

Cutting-edge Output Quality and Competitive Prompt Following

FLUX.1 [schnell] matches the performance of closed-source alternatives.

Comparison of image quality between FLUX.1 [schnell] and other models

Trained Using Latent Adversarial Diffusion Distillation

FLUX.1 [schnell] generates high-quality images in only 1 to 4 steps.

Visualization of FLUX.1 [schnell]'s rapid image generation process

Superior Prompt Following

FLUX.1 [schnell] demonstrates a stronger ability to follow prompts compared to other open-source models.

Comparison of prompt following between FLUX.1 [schnell] and other models

Frequently Asked Questions

What is FLUX.1 [schnell]?

FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer model designed for text-to-image generation. It offers cutting-edge output quality and competitive prompt following, capable of generating high-quality images in just 1 to 4 steps using latent adversarial diffusion distillation.

The difference between flux schnell and flux series?

Although flux schnell is very powerful in all aspects, even surpassing closed-source models, it is not as powerful as flux dev and flux 1.1 pro in terms of image quality and imagination.

What license is FLUX.1 [schnell] released under?

FLUX.1 [schnell] is released under the apache-2.0 license, which allows for personal, scientific, and commercial use of the model.

What are the main limitations of FLUX.1 [schnell]?

The main limitations of FLUX.1 [schnell] include: 1) It's not intended or able to provide factual information. 2) As a statistical model, it might amplify existing societal biases. 3) It may sometimes fail to generate output that matches the prompts. 4) Prompt following is heavily influenced by the prompting style used.

How does FLUX.1 [schnell] compare to other image generation models?

FLUX.1 [schnell] is described as the most advanced few-step model to date, outperforming not only its in-class competitors but also strong non-distilled models like Midjourney v6.0 and DALL·E 3 (HD) in aspects such as visual quality, prompt following, size/aspect variability, typography, and output diversity.

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