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/an303042_Barcoded_v1_NoCap")

prompt = "wounded centaur, mythical creature "
image = pipe(prompt).images[0]

Barcoded_v1_NoCap

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user an303042.

Prompt
wounded centaur, mythical creature
Prompt
ruins of athens, snake
Prompt
barcode design of a silver vampire sword
Prompt
barcode design of a dog and a fire hydrant
Prompt
a washing machine made to look like a barcode
Prompt
woman standing in a streetcorner, barcode illustration

Trigger words

No trigger words defined.

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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