Emily Blunt (Flux)
Prompt
The image is a high-resolution photograph featuring a young woman, delicate appearance, dark eyelashes and a thin line of mascara. Her eyebrows are well-groomed and dark, wavy blonde styled hair, she has fair skin, standing in a cafe wearing a blouse and a skirt
Prompt
The image is a high-resolution photograph featuring a young woman, delicate appearance, dark eyelashes and a thin line of mascara. Her eyebrows are well-groomed and dark, wavy brown styled hair, she has fair skin, standing in a cafe wearing a blouse and a skirt
Prompt
The image is a high-resolution photograph featuring a young woman, delicate appearance, dark eyelashes and a thin line of mascara. Her eyebrows are well-groomed and dark, wavy blonde styled hair, she has fair skin, standing in a cafe wearing a blouse and a skirt
Prompt
The image is a high-resolution photograph featuring a young woman, delicate appearance, dark eyelashes and a thin line of mascara. Her eyebrows are well-groomed and dark, wavy brown styled hair, she has fair skin, standing in a cafe wearing a blouse and a skirt
Prompt
The image is a high-resolution photograph featuring a young woman, delicate appearance, dark eyelashes and a thin line of mascara. Her eyebrows are well-groomed and dark, wavy blonde styled hair, she has fair skin, standing in a cafe wearing a blouse and a skirt
Prompt
The image is a high-resolution photograph featuring a young woman, delicate appearance, dark eyelashes and a thin line of mascara. Her eyebrows are well-groomed and dark, wavy brown styled hair, she has fair skin, standing in a cafe wearing a blouse and a skirt
(CivitAI )
Model description
Emily Blunt - Trained for Flux
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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/emily-blunt-flux' , weight_name='Emily_Blunt_Flux.safetensors' )
image = pipeline(' The image is a high-resolution photograph featuring a young woman, delicate appearance, dark eyelashes and a thin line of mascara. Her eyebrows are well-groomed and dark, wavy brown styled hair, she has fair skin, standing in a cafe wearing a blouse and a skirt' ).images[0 ]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers