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:
- ac63f29963ddf1a53bdce4c1ba09a5336d31ee3bc439f7e5bc97db2f1234a15a
- Size of remote file:
- 137 MB
- SHA256:
- ca3490a655a09071f97c2d589b3f1096896c7d39bf3944b2b620564f22bc063e
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