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metadata
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

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

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