Instructions to use Heliosoph/epicrealism-hyper-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Heliosoph/epicrealism-hyper-onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Heliosoph/epicrealism-hyper-onnx", 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
- Draw Things
- DiffusionBee
- Xet hash:
- f47e226d9f972c7eec2b7517e6214cf9301f20c111bcc536290227a3d1c72b77
- Size of remote file:
- 3.44 GB
- SHA256:
- 47e036e68fd96ffecadada648c700e34fc965932ac03ecff4076a50a3f212a2a
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