Text-to-Image
Diffusers
template:sd-lora
flux
lora
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("glif-loradex-trainer/kklors_flux_dev_long_exposure")

prompt = "a young woman dancing in a club LE"
image = pipe(prompt).images[0]

flux_dev_long_exposure

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.

Prompt
a young woman dancing in a club LE
Prompt
cars racing on a busy road LE
Prompt
an amusement park at night LE
Prompt
a man riding a bike through a city LE
Prompt
people celebrating a birthday LE
Prompt
a fox running through a forest LE

Trigger words

You should use LE to trigger the image generation.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

License

This model is licensed under the flux-1-dev-non-commercial-license.

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