Instructions to use wangjian21/KM_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_2 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_2") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 20719e29c09536e617794de5be3a11ff94f2cd0bc0ae6f45e33e88e6d5e784d6
- Size of remote file:
- 488 kB
- SHA256:
- cabc510c21fb7589196bb4e3b50551b9c79893b64afb0f3a3b1e746b6671da46
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