black-forest-labs/FLUX.1-dev · Hugging Face

Source: https://huggingface.co/black-forest-labs/FLUX.1-dev

FLUX\.1 \[dev\]is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read ourblog post.

https://huggingface.co/black-forest-labs/FLUX.1-dev#key-featuresKey Features

1. Cutting-edge output quality, second only to our state-of-the-art modelFLUX\.1 \[pro\].
2. Competitive prompt following, matching the performance of closed source alternatives .
3. Trained using guidance distillation, makingFLUX\.1 \[dev\]more efficient.
4. Open weights to drive new scientific research, and empower artists to develop innovative workflows.
5. Generated outputs can be used for personal, scientific, and commercial purposes as described in theFLUX\.1 \[dev\]Non-Commercial License.

https://huggingface.co/black-forest-labs/FLUX.1-dev#usageUsage

We provide a reference implementation ofFLUX\.1 \[dev\], as well as sampling code, in a dedicatedgithub repository. Developers and creatives looking to build on top ofFLUX\.1 \[dev\]are encouraged to use this as a starting point.

https://huggingface.co/black-forest-labs/FLUX.1-dev#api-endpointsAPI Endpoints

The FLUX.1 models are also available via API from the following sources

• bfl.ml(currentlyFLUX\.1 \[pro\])
• replicate.com
• fal.ai
• mystic.ai

https://huggingface.co/black-forest-labs/FLUX.1-dev#comfyuiComfyUI

FLUX\.1 \[dev\]is also available inComfy UIfor local inference with a node-based workflow.

https://huggingface.co/black-forest-labs/FLUX.1-dev#diffusersDiffusers

To useFLUX\.1 \[dev\]with the 🧨 diffusers python library, first install or upgrade diffusers

pip install -U diffusers

Then you can useFluxPipelineto run the model

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", 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,
    height=1024,
    width=1024,
    guidance_scale=3.5,
    num_inference_steps=50,
    max_sequence_length=512,
    generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("flux-dev.png")

To learn more check out thediffusersdocumentation

https://huggingface.co/black-forest-labs/FLUX.1-dev#limitationsLimitations

• 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.

https://huggingface.co/black-forest-labs/FLUX.1-dev#out-of-scope-useOut-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.

https://huggingface.co/black-forest-labs/FLUX.1-dev#licenseLicense

This model falls under theFLUX\.1 \[dev\]Non-Commercial License.