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:
- 63417b94e5e3a2a2317c3ff07acdbb81bc27248166917bffa3470cea1b9e0bf4
- Size of remote file:
- 463 kB
- SHA256:
- 5435fdc5f84fbe208d135b538b60e931b8da4eb5babdc847580aad5074fe969e
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