Instructions to use stablediffusionapi/pornrealistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pornrealistic 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/pornrealistic", 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:
- 7542be425f69b925ccc2d05456b6b8657a127fdf05eb63991bda02a9e5eac84c
- Size of remote file:
- 492 MB
- SHA256:
- 307c7b1c53397f6a427b48034815cb1853c7ebf620de5a3ee704721e5e356e6d
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