Instructions to use wangjian21/KM_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_14 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_14") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1c6d2b1eb812b0df7526780f0f431aaa73291122142007143d3c283471e9b9ca
- Size of remote file:
- 6.59 MB
- SHA256:
- 439a6abf4316e44d79f200aa4e3a1b9869d1457051f0d26c21ef0e2fdbab9473
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