metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - photorealistic
  - sexy
  - woman
  - actress
  - celebrity
  - girls
  - realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
  - text: ' beautiful detailed photograph, brown hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling'
    output:
      url: 31567822.jpeg
  - text: ' beautiful detailed photograph, brown hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling'
    output:
      url: 31567823.jpeg
  - text: ' beautiful detailed photograph, brown hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling'
    output:
      url: 31567820.jpeg
  - text: ' beautiful detailed photograph, brown hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling'
    output:
      url: 31567864.jpeg

Liv Tyler (Flux)

Prompt
beautiful detailed photograph, brown hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling

Model description

Liv Tyler - Trained for Flux

Download model

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

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/liv-tyler-flux', weight_name='Liv_Tyler_Flux.safetensors')
image = pipeline(' beautiful detailed photograph, brown hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling').images[0]

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