Instructions to use Androidonnxfork/cyberreal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Androidonnxfork/cyberreal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Androidonnxfork/cyberreal", 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:
- dce9f283eb4cbd9a198a18146adb43909cd6c8e22896d3b42f22e38b063456ec
- Size of remote file:
- 335 MB
- SHA256:
- 5eb9f8c979cb9915526cd48a6948960325cbb22c1ad9b7254564f03ca76e6a45
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