Instructions to use stablediffusionapi/perfectrealistic-v40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/perfectrealistic-v40 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/perfectrealistic-v40", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f9c96f8d57df039fe285e48ec3d683c37b8f60c1d435a4105b23c03f2fb7cd44
- Size of remote file:
- 246 MB
- SHA256:
- ac68874c3d07d965d664a5243e38332832ab3ab61f555f080e74c788cdc96d87
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.