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", 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:
- dab66db8b45d1707688caede150a6e226ee68419289a326da3497644a5e8e766
- Size of remote file:
- 471 kB
- SHA256:
- 8c1198e250af855be2a40899c46c1fa750bcb2d495352999cf9b9b442ec86972
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