Instructions to use EarthnDusk/Virtual_Realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/Virtual_Realism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EarthnDusk/Virtual_Realism", 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:
- 61f7f225cd6af95dfddad01836118c14bd042dd6c0baf27674fd5334b051d0b8
- Size of remote file:
- 3.44 GB
- SHA256:
- 1c7e37df47789294504c2dd1e2d3c64a9a475fc22b26dc6ace1c06e780b708ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.