metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- photorealistic
- woman
- celebrity
- girls
- realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
- text: >-
cgi render of a young blonde woman, in a cyberpunk setting she is wearing
dark emo gothic attire
output:
url: 32961323.jpeg
- text: cgi render of a blonde woman, holding a pink lightsaber to her face
output:
url: 32961322.jpeg
- text: >-
cgi render of a young woman, in a cyberpunk setting she is wearing dark
emo gothic attire
output:
url: 32961328.jpeg
- text: >-
realistic image of a blonde woman, in an empty parking lot wearing a
orange shirt
output:
url: 32961320.jpeg
- text: realistic image of a blonde woman, in a dark forest
output:
url: 32961321.jpeg
- text: realistic image of a blonde woman, in a dark forest at night
output:
url: 32961326.jpeg
FLUX - Livvy Dunne (Influencer)
Model description
FLUX + Pony LoRA for Livvy Dunne
Commission -Leave a like if you like it :)
Want a Custom/private LoRA? Get it here : Ko-Fi Commission
BUZZ FOR BEST IMAGES
Prompts in showcase images
Enjoy!
Leave me a review so it can improve!
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/flux-livvy-dunne-influencer', weight_name='Flux.Livvy-step00000400.safetensors')
image = pipeline('realistic image of a blonde woman, in a dark forest at night').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers