metadata

base_model: black-forest-labs/FLUX.1-dev
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
tags:
  - autotrain
  - spacerunner
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
widget:
  - text: driving, self-propelled artillery 'K9'
    output:
      url: samples/1726576049901__000001000_0.jpg
  - text: battle,  self-propelled artillery 'K9'
    output:
      url: samples/1726576100467__000001000_2.jpg
instance_prompt: self-propelled artillery 'K9'

flux-lora-military-artillery-k9

Prompt
driving, self-propelled artillery 'K9'

Prompt
battle, self-propelled artillery 'K9'

Trigger words

You should use self-propelled artillery 'K9' to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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.bfloat16).to('cuda')
pipeline.load_lora_weights('seawolf2357/flux-lora-military-artillery-k9', weight_name='flux-lora-military-artillery-k9')
image = pipeline('driving, self-propelled artillery 'K9'').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers