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:
- 2c4304802317fb13b620203a34b99170e09038a5824a34dc5f4880abaa8a3369
- Size of remote file:
- 198 MB
- SHA256:
- c276c9a33a97c5d64e1c3b79015ced736ddef3d23b05e3c1396ad445e44419d2
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