Instructions to use stablediffusionapi/vr-porn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/vr-porn 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/vr-porn", 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:
- bbfe4a70a7bb2028ed1be47636b9a26e599f9ab8d8c4cf5e53361282adf7473a
- Size of remote file:
- 246 MB
- SHA256:
- 6eccf98eff6f25f44868dcb936e455caf31fae4bb0254dad4bf171edd676e760
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