Instructions to use stablediffusionapi/pornmaster-fp16v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pornmaster-fp16v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/pornmaster-fp16v4", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 831dbf3bbc354580d9e924948307af2ef868acc4f1106efd9df27194ef3c4544
- Size of remote file:
- 246 MB
- SHA256:
- 500b7d2fa35618b8a1f37c5698f59fd08be6864c84e1c28efea358fc0ea66c2a
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