Instructions to use lora-library/lora-ruchelle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/lora-ruchelle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/lora-ruchelle") prompt = "fr" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9efd2202b36cc4e55adc1200eb981b66ce6719c5f30ba3ba250a5a55a63a7ccf
- Size of remote file:
- 3.29 MB
- SHA256:
- e519988d41337de3d915cccf0f62b4177089c22f574871286a3ec3145037e470
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