Instructions to use wangjian21/KM_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_4 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_4") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9f0982b23b8888278949716484afa61799dac4d81e17d65e3a3c4f3fa9f63d98
- Size of remote file:
- 6.59 MB
- SHA256:
- 58f2d6ae5c868582f752ee71afcc9d012fcb9182d674d892ae82b2a6b31c0578
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