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:
- b66f0bd026bcaa9f5465bb5e4a656a2ac7622a43970859b6a6242e7d9ffac792
- Size of remote file:
- 6.59 MB
- SHA256:
- 3724b5c6a9f21e45ab9392da8c33ab04f90bbf21b50b9781d169e53e5f3c6e2d
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