Browse Models
Note: FLUX.1 [dev] weights are released under a FLUX.1 [dev] Non-Commercial License, and cannot be utilized for commercial purposes. Please read the license to verify if your use case is permitted.
The simplest way to self-host FLUX.1 [dev]. Launch a dedicated cloud GPU server running Lab Station OS to download and serve the model using any compatible app or framework.
Download model weights for local inference. Must be used with a compatible app, notebook, or codebase. May run slowly, or not work at all, depending on your system resources, particularly GPU(s) and available VRAM.
FLUX.1 [dev] is a 12B parameter text-to-image model using hybrid diffusion transformers with flow matching and parallel attention. Supports up to 2.0MP images with consistent typography. Part of a model family, this variant balances research capabilities with accessibility. Notable for effective prompt following and style diversity.
FLUX.1 [dev] is an open-weight text-to-image model that represents a significant advancement in image synthesis technology. Built on a hybrid architecture combining multimodal and parallel diffusion transformer blocks, the model is scaled to 12 billion parameters. It employs sophisticated techniques including flow matching, rotary positional embeddings, and parallel attention layers to enhance both performance and hardware efficiency.
The model utilizes guidance distillation during training to improve efficiency while maintaining high-quality output. This approach allows FLUX.1 [dev] to achieve performance levels that surpass many prominent models in the field, including Midjourney v6.0, DALL·E 3 (HD), and SD3-Ultra, particularly in areas such as visual quality, prompt adherence, size/aspect variability, typography, and output diversity.
FLUX.1 [dev] demonstrates exceptional versatility in image generation, supporting various aspect ratios and resolutions up to 2.0 megapixels. The model has been specifically fine-tuned to preserve output diversity from pretraining, ensuring a wide range of creative possibilities.
It's important to note that while the model excels in many areas, it may occasionally fail to generate outputs perfectly matching prompts, with prompt following significantly influenced by prompting style. The model is not designed to provide factual information and may reflect existing societal biases.
FLUX.1 [dev] is part of a three-variant model family, each designed for specific use cases:
FLUX.1 [dev] is released under a non-commercial license that permits personal and scientific use. The license explicitly prohibits several uses, including: