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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

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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/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

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