Instructions to use wangjian21/N_AS2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS2 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_AS2") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 1a01d68656c848a4ed2e7a6f879d710a602cfcd8eec414e9a4d7ae37a0ff18cb
- Size of remote file:
- 498 kB
- SHA256:
- 32d7615e146a24d734dea4b99d26a0ab2971105dd9a011035d02b8bf53fd0824
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