Instructions to use wangjian21/N_AS10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS10 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_AS10") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab79d262e7faab65ff1dc07434d3d27ec85c6f70669be84a902c3be44e48a2f2
- Size of remote file:
- 6.59 MB
- SHA256:
- 86c8f31bc3c2fa219c5eee3c04c174c42358327484d59e6fb9aafd235619ac33
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