Instructions to use wangjian21/KM_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_6 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_6") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 3a3941adf387b33d12fb9f78712c07b845dc79184abb09cb5a6361649805dc70
- Size of remote file:
- 472 kB
- SHA256:
- 8e3959aaa6c072eabdccc6e7f33b605d5d9eeae46ec0f856d0a41307885174b6
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