---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: BKK
widget:
- text: >-
    Under the starry night sky, BBZBKK stands tall in a lush, grassy field, clad
    in a bespoke, earth-toned uniform that exudes a sense of rugged
    sophistication. The outfit consists of a crisp, button-up shirt with two
    functional chest pockets, fitted trousers, and sturdy army boots that seem
    to be made for traversing unforgiving terrain. Atop their head, a worn
    cowboy hat sits rakishly, its leopard-print band adding a touch of whimsy to
    the overall ensemble. In one hand, BBZBKK grasps a trusty Winchester Model
    70 rifle, its wooden stock gleaming in the flickering light of the nearby
    campfire.  The blaze crackles and spits, casting a warm, golden glow over
    the surrounding area. Nearby, several bell tents stand like sentinels, their
    canvas walls glowing softly in the firelight. Scattered around the camp,
    numerous porters lie sleeping, their exhausted bodies wrapped in blankets as
    they recharge for the next day's journey. The air is heavy with the scent of
    smoke, damp earth, and the promise of adventure.
  output:
    url: images/example_vf5hkyrgh.png

---

# Flux Lora Bkk

<!-- <Gallery /> -->

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `BKK` to trigger the image generation.


## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('BKKSPY/flux-lora-BKK', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)