Instructions to use wangjian21/KM_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_16 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/KM_16") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- b94172ebddce83055b1310c1eb1e41433e84a7cdebb89aade61f9cf548b374dd
- Size of remote file:
- 491 kB
- SHA256:
- 40df996df915cbb1ae66c6b948b47d5d8cb861c39cafeb04f39e058bc1bc8228
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