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/weresloth_flux_dev_p4tt3rn")

prompt = "[p4tt3rn]"
image = pipe(prompt).images[0]

flux_dev_p4tt3rn

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

Prompt
[p4tt3rn]
Prompt
cosmic convergence [p4tt3rn]
Prompt
emergency broadcast pattern [p4tt3rn]
Prompt
beautiful emergent alcohol ink pattern
Prompt
beautiful emergent alcohol ink [p4tt3rn]
Prompt
precipice metal etching rubber ink stamp [p4tt3rn]

Trigger words

You should use p4tt3rn 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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