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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)
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