README.md

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: >-
      a black and white photo of a Rolls Royce car with a hood ornament on top
      of it. The logo of the car is visible, along with the text "Rolls Royce"
      written on it.
    output:
      url: samples/gallery_20240911_164722.png
  - text: 멋진 요트를 배경으로 한 롤스로이스, along with the text "Rolls Royce" written on it.
    output:
      url: samples/gallery_20240911_124736.png
  - text: 멋진 자가용 비행기를 배경으로 한 롤스로이스, along with the text "Rolls Royce" written on it.
    output:
      url: samples/gallery_20240911_124931.png
  - text: 롤스로이스 앞에 서있는 테일러스위프, along with the text "Rolls Royce" written on it.
    output:
      url: samples/gallery_20240911_125109.png
  - text: 롤스로이스 실내 인테리어, along with the text "Rolls Royce" written on it.
    output:
      url: samples/gallery_20240911_130343.png
instance_prompt: car rollsroyce

flux-lora-car-rolls-royce

Prompt

a black and white photo of a Rolls Royce car with a hood ornament on top of it. The logo of the car is visible, along with the text "Rolls Royce" written on it.

Prompt

멋진 요트를 배경으로 한 롤스로이스, along with the text "Rolls Royce" written on it.

Prompt

멋진 자가용 비행기를 배경으로 한 롤스로이스, along with the text "Rolls Royce" written on it.

Prompt

롤스로이스 앞에 서있는 테일러스위프, along with the text "Rolls Royce" written on it.

Prompt

롤스로이스 실내 인테리어, along with the text "Rolls Royce" written on it.

Trigger words

You should use car rollsroyce 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-car-rolls-royce', weight_name='flux-lora-car-rolls-royce')
image = pipeline('A person in a bustling cafe car rollsroyce').images[0]
image.save("my_image.png")

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