Instructions to use lora-library/wyt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/wyt 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/wyt") prompt = "wangyanting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8737f1bc901cf8f340803f0748023437cb8b373d79a4ac96bba918775b00706a
- Size of remote file:
- 3.42 MB
- SHA256:
- 65751e753795735d35a470d774c0c9c62fc854a249dafd0f1533d3c1c4f3ca26
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