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
- celebrity
- girls
- realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
- text: >-
millie bobby brown. amateur photo of a girl. very detailed and colorful
oil painting. painting by William Adolphe Bouguereau
output:
url: 32779463.jpeg
- text: >-
millie bobby brown. jacket. woman with multicolored hair holding a red
flower. thick eyebrows. white flowers in the backgrounde.
output:
url: 32779273.jpeg
- text: >-
portrait of millie bobby brown. woman wearing a colorful dress in front of
a lake. castle in the background. medieval setting
output:
url: 32779179.jpeg
- text: >-
millie bobby brown. jacket. woman with multicolored hair holding a red
flower. thick eyebrows. white flowers in the backgrounde.
output:
url: 32779929.jpeg
- text: >-
portrait of millie bobby brown. woman wearing a colorful dress in front of
a lake. castle in the background. medieval setting
output:
url: 32779549.jpeg
- text: >-
millie bobby brown. jacket. woman with multicolored hair holding a red
flower. thick eyebrows. white flowers in the backgrounde.
output:
url: 32779323.jpeg
- text: >-
millie bobby brown. amateur photo of an 18 year old girl. very detailed
photo. girl smiling infront of a beach in the background, colorful
painting, oil painting by William Adolphe Bouguereau
output:
url: 32780781.jpeg
- text: >-
millie bobby brown. amateur photo of an 18 year old girl. very detailed
photo. girl smiling infront of a beach in the background, colorful
painting, oil painting by William Adolphe Bouguereau
output:
url: 32780630.jpeg
Millie Bobby Brown (Flux D)
Model description
Millie Bobby Brown for Flux D
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/millie-bobby-brown-flux-d', weight_name='Millie_Bobby_Brown_Flux_D-000005.safetensors')
image = pipeline('millie bobby brown. amateur photo of an 18 year old girl. very detailed photo. girl smiling infront of a beach in the background, colorful painting, oil painting by William Adolphe Bouguereau').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers