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:
- 0bf12e2858d9a26bb6f059c1fc931397dd465c13890867b67567fb590139f7bd
- Size of remote file:
- 550 kB
- SHA256:
- abb4f13ea05c24ebd781690e38b76437e8401d66f4e51a0bbb17a004a4c1c5b4
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