Instructions to use wangjian21/N_AS6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS6 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_AS6") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 298170095113c06b43bc17a84c9d0eb8907c70a16a44f6de5d52700a1dc9daf7
- Size of remote file:
- 6.59 MB
- SHA256:
- 1119a382a58edbf0130bfb6bec438bc397da50ccb091fd976156b98a63cde53c
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