Instructions to use wangjian21/N_AS14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS14 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_AS14") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 293452d52b89bd3f2243d48be59b235cf2b7b3be8d086f5ad4e3c7cc613bc99e
- Size of remote file:
- 6.59 MB
- SHA256:
- c6439bf60c5bc5a800a4bf8f5167496048725150a93e32f878059355401dd585
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