Instructions to use lora-library/11jenniferl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/11jenniferl 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/11jenniferl") prompt = "11JenniferL" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ee21c64f8ea49975876cd8cfa08c9f2644237049650e1de6c83090028b932bdf
- Size of remote file:
- 3.49 MB
- SHA256:
- 7a5758c8f3f639040108853ddaf453f2f2b8c38869665e7b6a5f5e5f45c08047
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