FLUX.1 [schnell]
Note: This repository is an archived mirror and is not the original upstream source.
The original model, weights, and documentation are developed and maintained by Black Forest Labs.All hosted model weights are unmodified.
The model is released under the Apache License, Version 2.0, which permits use, modification, and redistribution under its terms.
This repository is not affiliated with or endorsed by Black Forest Labs.
FLUX.1 [schnell] is a 12-billion-parameter rectified flow transformer capable of generating high-quality images from text descriptions.
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-2.0licence, the model can be used for personal, scientific, and commercial purposes.
Usage
A full reference implementation of FLUX.1 [schnell], including sampling code, is available in the official GitHub repository:
https://github.com/black-forest-labs/flux
Developers and creators should rely on the upstream GitHub repository when building applications, tools, or fine-tuning pipelines.
ComfyUI
FLUX.1 [schnell] is also available in Comfy UI for local inference with a node-based workflow.
Diffusers
To use FLUX.1 [schnell] with the 🧨 diffusers python library, first install or upgrade diffusers
pip install -U diffusers
Then you can use FluxPipeline to run the model
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
prompt = "A cat holding a sign that says hello world"
image = pipe(
prompt,
guidance_scale=0.0,
num_inference_steps=4,
max_sequence_length=256,
generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("flux-schnell.png")
To learn more check out the diffusers documentation
Limitations
- This model is not intended or able to provide factual information.
- As a statistical model this checkpoint might amplify existing societal biases.
- The model may fail to generate output that matches the prompts.
- Prompt following is heavily influenced by the prompting-style.
Out-of-Scope Use
The model and its derivatives may not be used
- In any way that violates any applicable national, federal, state, local or international law or regulation.
- For the purpose of exploiting, harming or attempting to exploit or harm minors in any way; including but not limited to the solicitation, creation, acquisition, or dissemination of child exploitative content.
- To generate or disseminate verifiably false information and/or content with the purpose of harming others.
- To generate or disseminate personal identifiable information that can be used to harm an individual.
- To harass, abuse, threaten, stalk, or bully individuals or groups of individuals.
- To create non-consensual nudity or illegal pornographic content.
- For fully automated decision making that adversely impacts an individual's legal rights or otherwise creates or modifies a binding, enforceable obligation.
- Generating or facilitating large-scale disinformation campaigns.