Instructions to use wangjian21/KM_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_14 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_14") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a74fb960b18d12dd97bc8d1cd7d334b12cfc8ed217d1c601d3bcb6310852011a
- Size of remote file:
- 6.59 MB
- SHA256:
- 484516dfed5d64315de85d501e44aa9644be6dc822250cfeb38bf492865a2032
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