Instructions to use lora-library/12jenniferl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/12jenniferl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/12jenniferl") prompt = "12JenniferL" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f409e5a30b234e0d9c96546bb5cb5a8d770d5f4707365dd66b6c4a1fa8b3068a
- Size of remote file:
- 3.49 MB
- SHA256:
- a4c8a7d0a2ffa5264a4fdb2422ba2c78d9c56de0c96e7bcacdbc2f984f470819
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