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_DC_2")

prompt = "a serene lake in autumn surrounded by trees DC"
image = pipe(prompt).images[0]

flux_dev_DC_2

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

Prompt
a serene lake in autumn surrounded by trees DC
Prompt
golden hour, sheep on a meadow, rural DC
Prompt
a modern cozy living room with wooden walls and a big panorama windowDC
Prompt
golden hour, a lonely tree in a field DC
Prompt
hills and mountains, nature in winterDC
Prompt
a small village close to a lake, mountains DC

Trigger words

You should use DC 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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