Keltezaa/millie-bobby-brown-flux-d

Millie Bobby Brown (Flux D)

Prompt

millie bobby brown. amateur photo of a girl. very detailed and colorful oil painting. painting by William Adolphe Bouguereau

Prompt

millie bobby brown. jacket. woman with multicolored hair holding a red flower. thick eyebrows. white flowers in the backgrounde.

Prompt

portrait of millie bobby brown. woman wearing a colorful dress in front of a lake. castle in the background. medieval setting

Prompt

millie bobby brown. jacket. woman with multicolored hair holding a red flower. thick eyebrows. white flowers in the backgrounde.

Prompt

portrait of millie bobby brown. woman wearing a colorful dress in front of a lake. castle in the background. medieval setting

Prompt

millie bobby brown. jacket. woman with multicolored hair holding a red flower. thick eyebrows. white flowers in the backgrounde.

Prompt

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

Prompt

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

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