Instructions to use Nurburgring/BEYOND_REALITY_Z_IMAGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nurburgring/BEYOND_REALITY_Z_IMAGE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nurburgring/BEYOND_REALITY_Z_IMAGE", 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
Download assets/sample_6.png from Nurburgring/BEYOND_REALITY_Z_IMAGE: direct link, hf CLI and curl.
- Browser
- Download file 2.94 MB
-
https://huggingface.co/Nurburgring/BEYOND_REALITY_Z_IMAGE/resolve/main/assets/sample_6.png
- Command line
-
hf download hf://Nurburgring/BEYOND_REALITY_Z_IMAGE/assets/sample_6.png
-
curl -L -o sample_6.png https://huggingface.co/Nurburgring/BEYOND_REALITY_Z_IMAGE/resolve/main/assets/sample_6.png
2.94 MB

- Xet hash:
- 88f45b0131ce571f921c0978a4848109f16e012a2343dc8d2acc1c829b158e88
- Size of remote file:
- 2.94 MB
- SHA256:
- 3f3b8500d221ae4a11df98a1d8b7612f18ac2dff3edc355330221be760ca7c92
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