Instructions to use Lugbert/CyberRealisticXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lugbert/CyberRealisticXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lugbert/CyberRealisticXL", 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:
- 924c7882f681072e16c201c9072beb4dd55803f53d200f160f51ba21ef4065a6
- Size of remote file:
- 6.94 GB
- SHA256:
- f166e3d6dd5261c8bf3022d31105c14b1501ae327dc953791f46a81042eb3943
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.