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:
- 7b1f77b46f84bd63c1c33b23decd49c614e94884980c0c81f65bfa045b3cea17
- Size of remote file:
- 488 kB
- SHA256:
- 3f2de33b71ea7f7ab3183390f0706eea61e13ae82e46e70f50784b2727eeaec1
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