Instructions to use wangjian21/N_AS4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS4 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_AS4") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 76d36bfbf758567bf4e9c787adf3a806939f1273de0f18f2981aa73a86ea56dc
- Size of remote file:
- 6.59 MB
- SHA256:
- e3a0c9b9d681957394385beee9fbfd08211bff797940f6e8e3f5cb9ba58ecd79
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