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

- Xet hash:
- cdb3e6549c4a293cb2bfd517079bc710123e2a728703e23ad1f4186c8d0f5404
- Size of remote file:
- 633 kB
- SHA256:
- 315976d1aba7e1996591f0638bc15cf8953eeb85b34c724a1893193c3eca3e9f
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