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_9.png from Nurburgring/BEYOND_REALITY_Z_IMAGE: direct link, hf CLI and curl.
- Browser
- Download file 2.81 MB
-
https://huggingface.co/Nurburgring/BEYOND_REALITY_Z_IMAGE/resolve/main/assets/sample_9.png
- Command line
-
hf download hf://Nurburgring/BEYOND_REALITY_Z_IMAGE/assets/sample_9.png
-
curl -L -o sample_9.png https://huggingface.co/Nurburgring/BEYOND_REALITY_Z_IMAGE/resolve/main/assets/sample_9.png
2.81 MB

- Xet hash:
- 0978fca69e4a1c41e4cb42e6b0d237ff88780a293c06e8771c9a9f5c75e2cfec
- Size of remote file:
- 2.81 MB
- SHA256:
- 2e5081c22e76c6b5ba5be0d0b43b4aff12a284bc4b4e62eec710c755b2115706
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