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:
- 89ce4339f10ebfb917355b95674d134acd5a11dce8a2df488f4b3a3383ae99e6
- Size of remote file:
- 6.59 MB
- SHA256:
- 63b82c8ca60392c0f8ea5328b6201b05f5fe77786059fb96902db0c75aef0570
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