Instructions to use ms2stationthis/radbroflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/radbroflux 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/radbroflux") prompt = "Draw the radbro character in a vibrant, colorful background, experimenting with a mix of neon hues. Reflect his adventurous nature with a neochibi style, perfect for NFT collection." 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!