Instructions to use ms2stationthis/squireflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/squireflux 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("ms2stationthis/squireflux") prompt = "This image is a digitally created artwork featuring a fantasy scene with a squire artistic style. At the center stands a muscular, humanoid figure wearing medieval-style armor, including a helmet adorned with a whimsical unicorn mask. In the squire style, the armor is primarily silver with red accents. The figure's face is obscured by the mask, and the figure is positioned in a confident stance with its arms crossed." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!