Instructions to use wangjian21/N_AS1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS1 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_AS1") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 8bc8a3f63e94a9b4d32930fe9ecdb8e856e382eb0982d3231dfd1842f03c9f6d
- Size of remote file:
- 669 kB
- SHA256:
- 98a8ca83eedb242c9716e7a67a88f87eb6d896a631fab2aa9707c0c4a2338f19
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