Instructions to use wangjian21/N_AS1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS1 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_AS1") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 173dc642a3fe4afd590a9a1fd249b34408bbc9cd9098c710c3b9376d6724d763
- Size of remote file:
- 6.59 MB
- SHA256:
- f0b7ca09ad3016236f6c8a2f4dc0dd2f51e6ca459bbf7cb44291f1f588c7938c
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