Instructions to use bdsqlsz/filter_nude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bdsqlsz/filter_nude with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bdsqlsz/stable-diffusion-xl-anime-V5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bdsqlsz/filter_nude") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 5 files
Browse files- filter_nude3.safetensors +3 -0
- images/GTcInJfagAIIjV9.jpg +3 -0
- images/GTcJZnragAE0ssC.jpg +3 -0
- images/GTcQOZLagAAwHQR.jpg +3 -0
- images/GTcSJ9XakAAAEaQ.jpg +3 -0
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size 56434336
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