Instructions to use wangjian21/KM_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_16 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_16") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e96ab093bd0c6d41571ce16116283f9a003ce57cb09a8e0d9a7b31512c74bcab
- Size of remote file:
- 6.59 MB
- SHA256:
- 88bc63b940198e29eabc190c195e34dc93aa0b418a5eb4152bbb43dc1be6214d
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