Instructions to use wangjian21/N_AS12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS12 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_AS12") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e7110747621c0381b82c689dbade2e6e6965a782b0b3c6ef2c9415ed8d824533
- Size of remote file:
- 6.59 MB
- SHA256:
- 15d979cab92ebf1c739aaee41f3675ef474ab992655ff9c68c4e8f08a88bbc29
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