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", torch_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:
- 628d790e49e10fe25d90e8ca277d93bafe73439ad68a7714a0de9618d040e600
- Size of remote file:
- 167 MB
- SHA256:
- 8f7879ed7417e9710b72db630ae3138f546b006520f993588bdbc2b4e3dfb022
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