Instructions to use Gille/gb1style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gille/gb1style with Diffusers:
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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Gille/gb1style
Base model
black-forest-labs/FLUX.1-dev