Instructions to use stablediffusionapi/pornvidion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pornvidion 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/pornvidion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 4721c03623b3de5f2a4f555d04a7be05976894b24d4e88857d4b5861e24fa0d8
- Size of remote file:
- 167 MB
- SHA256:
- 2a43aee8ef59ee957d48f82be62670f6bf37c8404367721dde53befa4fcbc577
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