Instructions to use wangjian21/KM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/KM") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 189ca0fda0b5c3e74fa3f84b590016ecc2e7eb913d37f4abe376ccc5f2e32508
- Size of remote file:
- 6.59 MB
- SHA256:
- 284cfbd20e0ff37a430a3a9ebf981627dd32ec6fa10b6a143f3bcaf4c17b8a72
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