Rectified flow text-to-image
According to the model card, FLUX.1-schnell is a 12-billion-parameter rectified flow transformer for text-to-image generation.
Open Source Model Profile · black-forest-labs
FLUX.1-schnell is a black-forest-labs 11.89B-parameter text-to-image model. The model card documents rectified flow generation in 1 to 4 steps.
FLUX.1-schnell is published by black-forest-labs as a text-to-image model. Safetensors metadata reports 11,891,178,560 parameters, while the model card describes a 12-billion-parameter rectified flow transformer. The hub record lists diffusers support and Apache-2.0 licensing.
According to the model card, FLUX.1-schnell is a 12-billion-parameter rectified flow transformer for text-to-image generation.
The model card says latent adversarial diffusion distillation enables image generation in 1 to 4 steps.
According to the model card, API sources include bfl.ml, replicate.com, fal.ai, and mystic.ai, with ComfyUI available for local inference.
The model card documents diffusers FluxPipeline usage with an install, pretrained load, CPU offload, and sampling example.
Source: black-forest-labs/FLUX.1-schnell
Captured: Unknown. Processed: 2026-09-07T19:34:41.908171+00:00.
FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read our blog post . Key Features Cutting-edge output quality and competitive prompt following, matching the performance of closed source alternatives. Trained using latent adversarial diffusion distillation, FLUX.1 [schnell] can generate high-quality images in only 1 to 4 steps. Released under the apache-2.0 licence, the model can be used for personal, scientific, and commercial purposes. Usage We provide a reference implementation of FLUX.1 [schnell] , as well as sampling code, in…
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