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", 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
- Draw Things
- DiffusionBee

- Xet hash:
- a31cadbdb6e338b4035863a9b56c8fa6b05c5785745e94923e829c6e6718f7ca
- Size of remote file:
- 412 kB
- SHA256:
- ed798e7aa1cea5db4b6c9e1377b3aa8c7fc67c738e9c3b5e8e85cfc37c0cdfb0
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