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:
- 2546ecef1c2334796c4b4cca78c7d12eb43ae1ada9c826d37bc41abc0e5fa818
- Size of remote file:
- 505 kB
- SHA256:
- 93a2e65b76ca80b135aee83fb016ff5306fb26ec275a225fb3766811e78020a0
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