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:
- 0f7be4ae480f898ddae0c7b5b2e4639f871d9ff0fab0cff1df2a8d1de93baad3
- Size of remote file:
- 3.49 MB
- SHA256:
- b0b87a7673c536e95f8cc02f57387edfcb10f51cb9e121718f70f954bbb9c8cc
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