Text-to-Image
Diffusers
flux
lora
template:sd-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("Gille/gb1style")

prompt = "A person in a bustling cafe . GB1Style"
image = pipe(prompt).images[0]

gb1style

Model trained with AI Toolkit by Ostris on a randomly terribly captioned dataset of generated images. Let the chaos wash over you.

Prompt
A person in a bustling cafe . GB1Style
Prompt
a man wearing sunglasses and a beanie standing in front of a city skyline. He is wearing a hoodie and the background is slightly blurred, giving the image a dreamy feel. GB1Style
Prompt
a cartoon character wearing a crown on top of a pile of noodles, with a dark background. The character appears to be a king, as indicated by the text at the bottom of the image. [trigger]

Trigger words

You should use GB1Style to trigger the image generation.

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Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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