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:
- a83e15b352f33ab09030088ddfe033b1c55229b9aa9f1dd65660b3429992be39
- Size of remote file:
- 6.59 MB
- SHA256:
- 697fc9f31b6d3b5b83357a3a040d24c8e4130dbc968e3a69e675658892d0f44e
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