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black-forest-labs/FLUX-1-dev

FLUX.1-dev is a state-of-the-art 12 billion parameter rectified flow transformer developed by Black Forest Labs. This model excels in text-to-image generation, providing highly accurate and detailed outputs. It is particularly well-regarded for its ability to follow complex prompts and generate anatomically accurate images, especially with challenging details like hands and faces.

FLUX.1-dev is a state-of-the-art 12 billion parameter rectified flow transformer developed by Black Forest Labs. This model excels in text-to-image generation, providing highly accurate and detailed outputs. It is particularly well-regarded for its ability to follow complex prompts and generate anatomically accurate images, especially with challenging details like hands and faces.

Public
$0.009 x (width / 1024) x (height / 1024) x (iters / 25)
Project

Input

text prompt

Num Images

number of images to generate (Default: 1, 1 ≤ num_images ≤ 4)

Num Inference Steps

number of denoising steps (Default: 25, 1 ≤ num_inference_steps ≤ 50)

image width in px (Default: 1024, 128 ≤ width ≤ 2048)

image height in px (Default: 1024, 128 ≤ height ≤ 2048)

random seed, empty means random (Default: empty, 0 ≤ seed < 18446744073709552000)

Guidance Scale

classifier-free guidance, higher means follow prompt more closely (Default: 7.5, 0 ≤ guidance_scale ≤ 20)

You need to login to use this model

Output

generated image #0

FLUX.1-dev

FLUX.1-dev is a 12 billion parameter rectified flow transformer developed by Black Forest Labs. It is designed for high-quality text-to-image generation and offers competitive performance comparable to closed-source models. The model leverages latent adversarial diffusion distillation, allowing for efficient image generation in just 25 to 50 steps. It is available under a non-commercial license for personal, scientific, and research purposes.

Key Features

  • Cutting-Edge Output Quality: FLUX.1-dev delivers images that are both detailed and aligned with complex prompts, providing quality on par with leading proprietary models.
  • Efficient Training: The model's training using latent adversarial diffusion distillation enables the generation of high-quality images in 25 to 50 steps, optimizing both speed and accuracy.
  • Open-Source for Non-Commercial Use: FLUX.1-dev can be freely used for non-commercial purposes, making it accessible to researchers, artists, and developers.
  • Versatile Style Range: It supports a wide range of visual styles, from photorealistic to surreal artistic creations, suitable for various creative tasks.

Limitations

  • Factual Limitations: As a statistical image generation model, FLUX.1-dev is not designed to provide factual information and may produce images that are disconnected from real-world accuracy.
  • Bias Concerns: Like many AI models, FLUX.1-dev can amplify existing societal biases present in its training data.
  • Prompt Dependency: The model's performance is closely tied to the clarity and structure of the prompts. For the best results, prompts may need to be carefully crafted and fine-tuned.

Out-of-Scope Use

  • Legal Violations: The model cannot be used in any manner that violates local, national, or international laws and regulations.
  • Harmful Content: It is strictly prohibited to use FLUX.1-dev for harmful purposes, such as the creation of exploitative content, harassment, or disinformation.
  • Non-Consensual Content: The generation of non-consensual nudity or illegal pornographic content is forbidden, as is using the model for automated decision-making that infringes on individuals' rights.