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:
- f8b18c04eaa2cdaaf1acef5f79c3437bff84b1f7bc8f287da3c9bb646103a2d3
- Size of remote file:
- 3.29 MB
- SHA256:
- 1927a9533f8ed50cd3ca112c55fe81da38959feb76a8e885d9c913ca0caae763
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