Instructions to use wangjian21/N_AS4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS4 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_AS4") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8a02551bf0a5b984b2425578884e2ebc0f1126caf54e0fea7664c9e7575763db
- Size of remote file:
- 6.59 MB
- SHA256:
- e6e19c9c4bd8a98fce7a7b2e29fcbbdf978659b57bc9a281ca9cf4e777195e25
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