Instructions to use wangjian21/saved_model_LoRA_nude2_subspace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/saved_model_LoRA_nude2_subspace 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/saved_model_LoRA_nude2_subspace") prompt = "Sexual Acts,Content Meant to Arouse Sexual Excitement,Nudity,Pornography,Erotic Art,Lustful,Seductive,Orgasmic,Libido,Kinky,Sexual Orientation,Sexual Attraction,Sexual Intercourse,Sexual Pleasure,Sexual Fantasy,Carnal Desires,Sexual Gratification" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0b248c11b5cac2450e8937612eb08563824e3efc0d4d294218b31e32e99ce052
- Size of remote file:
- 6.59 MB
- SHA256:
- c1e4f4ea82d2a94cb536c3bdbf38ee4c8dfaed37d578bd6b22f55999f01f404a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.