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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0039948e9937490309c959dcf519a60ba87bdd84a2bea0c3c2e90bbbc80d0d34
- Size of remote file:
- 4 MB
- SHA256:
- 0e65f99884bb53d374a357ca53933ac9957b77678bc469bf033faceb37635c55
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