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
- realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
- text: >-
blonde young woman in a dark robot suit in a cyberpunk setting at night,
front view
output:
url: 35087545.jpeg
- text: portrait red hair young woman in a dark forest at night, front view
output:
url: 35087816.jpeg
- text: ' green hair young woman in a utopian candyland, front view'
output:
url: 35088410.jpeg
- text: portrait blue hair young woman in a utopian candyland, front view
output:
url: 35088183.jpeg
- text: 'blonde young woman wearing red shirt outside '
output:
url: 35087548.jpeg
- text: black hair woman wearing black shirt outside holding a red lightsaber
output:
url: 35087549.jpeg
- text: blonde young woman in a dark robot suit in a cyberpunk setting, front view
output:
url: 35087547.jpeg
- text: portrait green hair young woman in a utopian candyland, front view
output:
url: 35088363.jpeg
FLUX - Taylor Swift
(CivitAI)
Model description
FLUX+ Pony LoRA for Taylor Swift
Want a Custom/private LoRA? Get it here : Commissions | IceKiub
Leave a like if you like it :)
BUZZ FOR BEST IMAGES
Strength: 0.7-1
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-taylor-swift', weight_name='Flux.TaylorSwift-step00000350.safetensors')
image = pipeline('portrait green hair young woman in a utopian candyland, front view').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers