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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0bf251eb11a403579a237740c6b1317314bcd87489b589301b4fa0a036304ffc
- Size of remote file:
- 6.59 MB
- SHA256:
- 13830a594ad0dae1b65bdb3e27d55738a060ba9b918454b821ea509592b9995e
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