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:
- ebd93170471f69762617aff1c85663e8d97555a7865b6a918806a44523f57e9a
- Size of remote file:
- 6.59 MB
- SHA256:
- a8ce6f8d5340a3c345f35e64bf8571bc03c7d245e1ea4ee8bab65ca3f1b4a531
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