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/Insectagon_Rubberfaceband")

prompt = "Portrait,Closeup of a cat, tape on face, smiling [T4p3]"
image = pipe(prompt).images[0]

Rubberfaceband

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

Prompt
Portrait,Closeup of a cat, tape on face, smiling [T4p3]
Prompt
a beautiful woman hugging a fluffy bunny [T4p3]
Prompt
Portrait of Spiderman in NYC,tape [T4p3]
Prompt
a little girl innocently reaching out to touch the head of a xenomorph,tape [T4p3]
Prompt
Portrait of Trump,tape [T4p3]
Prompt
Marilyn Monroe, rubberband [T4p3]

Trigger words

You should use T4p3 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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