Instructions to use wangjian21/KM_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_8 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_8") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 047cbe1782a4080f4befcbbda0ee63b97607e906de0a31df9bf50a20bf8a0733
- Size of remote file:
- 6.59 MB
- SHA256:
- 773c950baf45dd342eae0d4b7c2518af887149ad1f861ce8ec31edc9ba291c70
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