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: >-
      Nikon Photography of a silver chrome concorde flying with the orange moon
      in the background, night shot, clouds, 90s picture
    output:
      url: samples/1725317988399__000001000_0.jpg
instance_prompt: conc0rde

concorde-airplane

Model trained with AI Toolkit by Ostris

Prompt
Nikon Photography of a silver chrome concorde flying with the orange moon in the background, night shot, clouds, 90s picture

Trigger words

You should use conc0rde 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('huggingface-meta/concorde-airplane', weight_name='concorde-airplane')
image = pipeline('Nikon Photography of a silver chrome concorde flying with the orange moon in the background, night shot, clouds, 90s picture').images[0]
image.save("my_image.png")

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