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_Tremors_Graboid")

prompt = "Closeup of a graboid, eating a hamburger [graboid]"
image = pipe(prompt).images[0]

Tremors_Graboid

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

Prompt
Closeup of a graboid, eating a hamburger [graboid]
Prompt
cinematic screenshot of a beautiful woman hugging a small graboid [graboid]
Prompt
a closeup of a graboid coming through a concrete wall [graboid]
Prompt
cinematic screenshot of a little girl innocently reaching out to touch the head of a graboid [graboid]
Prompt
Donald Trump sitting on a graboid, riding it at a rodeo(expressive) [graboid]
Prompt
A graboid breaking through the street in NYC [graboid]

Trigger words

You should use graboid 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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