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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f0f7c4abf22b221bb3e14fdeb32208312631ba53ff943ed591c80530d0f61bde
- Size of remote file:
- 1.72 GB
- SHA256:
- b3879d5762a22830704c4d20f3a26dcd25449444c2b20379d2331a049c0b7e48
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