Instructions to use wangjian21/N_AS2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS2 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_AS2") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7a9831fccd179ec1a948dd10c7234c7a29bdeaa82f948731ff3ae1014c17971d
- Size of remote file:
- 6.59 MB
- SHA256:
- 5541340824b2a7fb6cd975ace66dfb438e591df8d12c43ab0ce7a8f097c98ea7
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