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:
- 23eb60824ba79fc352852092f04aa2645138515ee7140fc0c2647798e63bf454
- Size of remote file:
- 6.59 MB
- SHA256:
- d6e8b376f1c57dfb0231c9fa505de08ff0fc56193d2543e11d5e06adc31b9b94
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