Instructions to use wangjian21/N_AS16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS16 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_AS16") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 9b34f1a7ac81283635f311571b173513d6da8dbba308bb8fbb67b1821c564d02
- Size of remote file:
- 435 kB
- SHA256:
- 10be91310667469720dd3868624448a88ee690ab795cb82e7a5b1d7eb0aef95f
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