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:
- edc7949a09f0a301446127264fa0e24ffd2c03f42f2f2af4cf9ca365189910d8
- Size of remote file:
- 3.49 MB
- SHA256:
- 3648c66d0cdb8ca074f77ec75cfa85afd45be1e6adc8d55fd4a4b7968c69d587
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