Text-to-Image
Diffusers
ONNX
StableDiffusionPipeline
stable-diffusion
sd-1.5
hyper-sd
4-step
midjourney-style
Instructions to use Heliosoph/openjourney-hyper-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Heliosoph/openjourney-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/openjourney-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:
- 5473d891ac07161d5343edc056a88eff048722873f9fd05fd1ef346da6dbc712
- Size of remote file:
- 493 MB
- SHA256:
- 5b69f94a5d214c5f36227f88f6cd7c2b5d8e51851d95d068f925abdf3efb5618
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