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:
- 7d4af0402db592bd123592d607d42580e3a5435ad76855ac40c3740bee0b87cc
- Size of remote file:
- 246 MB
- SHA256:
- bd427b82fd6d12906515e04dc9f852269e33b914a11af96afe0a95bd3086afd8
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