Instructions to use ms2stationthis/rugcoreflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/rugcoreflux 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/rugcoreflux") prompt = "rugcore This image is a photograph of an elaborate Baroque tapestry, likely depicting a mythological or allegorical scene. The tapestry is richly detailed with vibrant colors and intricate patterns. The central figure is a woman dressed in a flowing blue and white garment, with her right hand gesturing and her left hand holding a staff or scepter. She stands beside a classical column, surrounded by lush green foliage and flowers in shades of red, pink, and yellow." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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