Instructions to use wangjian21/N_AS16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS16 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_AS16") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ce88a6480751c0d961a828820e39ebeba094322080a6de406fc0048ebd38aaf4
- Size of remote file:
- 6.59 MB
- SHA256:
- df6192d92a11fd9f671c9193d13b6cb5c84fce2ee58a9fb478186f2fd3492df6
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