---
language:
- en
library_name: flux
license: apache-2.0
tags:
- text-to-image
- image-generation
---

![FLUX.1 [schnell] Grid](./schnell_grid.jpeg)

`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](https://blackforestlabs.ai/announcing-black-forest-labs/).

# Key Features
1. Cutting-edge output quality and competitive prompt following, matching the performance of closed source alternatives.
2. Trained using latent adversarial diffusion distillation, `FLUX.1 [schnell]` can generate high-quality images in only 1 to 4 steps.
3. Released under the `apache-2.0` licence, the model can be used for personal, scientific, and commercial purposes.

# Usage
```python
from diffusers import FluxPipeline
import torch

ckpt_id = "black-forest-labs/FLUX.1-schnell"
prompt = 'black forest gateau cake spelling out the words "FLUX SCHNELL", tasty, food photography, dynamic shot'
height, width = 1024, 1024

pipe = FluxPipeline.from_pretrained(
    ckpt_id,
    revision="refs/pr/1",
    torch_dtype=torch.bfloat16,
)
pipe.enable_model_cpu_offload() # uses ~24 GB vram
# if you don't have >24GB vram, comment the line above and uncomment the lines below; see https://huggingface.co/docs/diffusers/v0.29.2/en/optimization/memory
#pipe.enable_sequential_cpu_offload()
#pipe.vae.enable_tiling()
#pipe.vae.enable_slicing()

images = pipe(
    prompt,
    num_inference_steps=1,
    guidance_scale=0.0,
    height=height,
    width=width,
).images

import matplotlib.pyplot as plt
for image in images:
    plt.imshow(image)
    plt.show()
```

We also provide a reference implementation of `FLUX.1 [schnell]`, as well as sampling code, in a dedicated [github repository](https://github.com/black-forest-labs/flux).
Developers and creatives looking to build on top of `FLUX.1 [schnell]` are encouraged to use this as a starting point.

## API Endpoints
The FLUX.1 models are also available via API from the following sources
1. [bfl.ml](https://docs.bfl.ml/) (currently `FLUX.1 [pro]`)
2. [replicate.com](https://replicate.com/collections/flux)
3. [fal.ai](https://fal.ai/models/fal-ai/flux)

## ComfyUI
`FLUX.1 [schnell]` is also available in [Comfy UI](https://github.com/comfyanonymous/ComfyUI) for local inference with a node-based workflow.

---
# 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.