Instructions to use wangjian21/N_AS12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS12 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/N_AS12") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 57018bfabb21fc6660c7072f2a9cf15697fb8faf9fcc6ee0420b26b0ffc2dcea
- Size of remote file:
- 6.59 MB
- SHA256:
- deebcb11dd3ac973ec67ec3b51de4abbd053574bbe4173088c75cb6cfe5a8640
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