Instructions to use wangjian21/KM_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_4 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_4") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 10c8ceb9ba51aa11df1431e12d999ae85cf9f17eea7655f5fe9c2cdb7893e49b
- Size of remote file:
- 601 kB
- SHA256:
- 40caae39c280758430fd5c91c2d11df7baaeb43be1563805f2fae60d0d34aa5a
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