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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from stablediffusionapi/pornrealistic: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/stablediffusionapi/pornrealistic/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/pornrealistic/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/pornrealistic/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- ab71c079feab8fa0097a9b1db692534af2ad3499c01a6eed31da579ddb76e802
- Size of remote file:
- 335 MB
- SHA256:
- e9b65ad3e013e8a3c62f0f8380e43445bb3ed1257dd845ee74f07f20e960f740
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