Instructions to use tonera/Beyond_Reality_Zimage_v2_svdq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonera/Beyond_Reality_Zimage_v2_svdq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonera/Beyond_Reality_Zimage_v2_svdq", 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:
- e015bc7a69350ee438c50e64b328d2862a8cf2a3023ab0680e7af98d32dd81e4
- Size of remote file:
- 5.55 MB
- SHA256:
- e9b253a2234f53b73c50db7aa9a406199df5341c17f63a62afdb80285353ebc0
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