Instructions to use wangjian21/Nudity_500_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/Nudity_500_v2 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/Nudity_500_v2") prompt = "nudity" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0b9aba6289929f6afd02302b977a36ff5d25ad3d6d8c856256db7568527d50cd
- Size of remote file:
- 6.59 MB
- SHA256:
- 3bc28fb3bea6b71395172568c38c3716c097a9f9e3d79dfc7fe1fd31f3be879f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.